JP7580214B2 - Document analysis system and document analysis method - Google Patents

Description

The present invention relates to a document analysis system and a document analysis method.

With the aim of making medical care transparent and democratizing, medical statements are required to be issued to patients along with receipts. Medical statements are issued free of charge. The medical procedures performed on the patient are recorded on the medical statement (see, for example, Patent Documents 1 to 3). However, the name of the illness or injury that was treated is not recorded on the medical statement. If the patient is a private insurance policyholder, in order for the patient to claim insurance from the insurance company, the patient must usually request the medical institution to issue a medical certificate that lists the name of the illness or injury that was treated, and submit the medical certificate that lists the name of the illness or injury that was treated to the insurance company. Medical certificates that list the name of the illness or injury that was treated are usually issued for a fee.

Patent No. 3707738 Patent No. 4312757 Patent No. 4990410

When a patient files a claim with an insurance company, they must pay a fee to obtain a medical certificate detailing the illness or injury that was treated, which is both a cumbersome procedure and a financial burden for the patient. Furthermore, insurance companies face problems such as the time it takes to begin reviewing the payment of insurance claims, the possibility of procedural errors due to relying on the patient to carry out the necessary procedures, and the possibility of being held liable for not paying insurance claims to patients who should be paid, even if the error is on the patient's side.

Therefore, one of the objectives of the present invention is to provide a document analysis system and document analysis method that can assist in identifying candidates for medical purpose injury or illness names from documents that do not list such names, not limited to medical treatment statements.

According to an aspect of the present invention, a document analysis system is provided that includes a document description receiving unit that receives description items of a document including a description of at least one medical procedure, a medical procedure score storage device that stores a medical procedure score assigned to the medical procedure, an injury/illness name storage device that stores the injury/illness name corresponding to the medical procedure, and a score and injury/illness name adding unit that adds a medical procedure score and an injury/illness name for each medical procedure described in the document. The document may be at least one selected from a medical statement, a receipt, and a prescription.

In the document analysis system described above, the medical procedure score may be determined for each area to which the medical procedure is applied.

The document analysis system may further include an injury/illness name analysis unit that sorts the injury/illness names added to the medical procedures described in the document based on the medical procedure scores added to the medical procedures described in the document.

The document analysis system may further include an injury/illness name extraction unit that extracts some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical treatment score added to the medical treatment described in the document.

The document analysis system may further include an illness name identification unit that identifies the most likely illness name of the patient from the illness names added to the medical procedures described in the document, based on the medical procedure score added to the medical procedures described in the document.

The document analysis system may further include an injury/illness score storage device that stores the injury/illness name score assigned to the medical treatment for the injury/illness name, and the score and injury/illness name adding unit may add the injury/illness name score to the injury/illness name added for each medical treatment listed on the document.

The document analysis system may further include an injury/illness name analysis unit that sorts the injury/illness names added to the medical procedures described in the document based on the medical procedure score and injury/illness name score added to the medical procedures described in the document.

The document analysis system may further include an injury/illness name extraction unit that extracts some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical treatment score and injury/illness name score added to the medical treatment described in the document.

The document analysis system may further include an illness name identification unit that identifies the most likely illness name of the patient from the illness names added to the medical procedures described in the document, based on the medical procedure score and illness name score added to the medical procedures described in the document.

In the document analysis system described above, the information written on the document may further include diagnosis group classification information, the document analysis system may further include a diagnosis group classification number score storage device that stores a diagnosis group classification number score assigned to the diagnosis group classification number for the injury or illness name, and the score and injury or illness name adding unit may derive a diagnosis group classification number from the diagnosis group classification information written on the document, and add a diagnosis group classification number score to the injury or illness name added for each medical procedure written on the document.

The document analysis system may further include an injury/disease name analysis unit that sorts injury/disease names added to the medical procedures described in the document based on the medical procedure score and diagnosis group classification number score added to the medical procedures described in the document.

The document analysis system may further include an injury/illness name extraction unit that extracts some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical treatment score and the diagnosis group classification number score added to the medical treatment described in the document.

The document analysis system may further include an illness name identification unit that identifies the most likely illness name of the patient from the illness names added to the medical procedures described in the document, based on the medical procedure score and diagnosis group classification number score added to the medical procedures described in the document.

In the document analysis system, the information written on the document may further include medical fee points, the document analysis system may further include a medical fee point score storage device that stores a medical fee point score assigned to the medical fee point for the injury or illness name, and the score and injury or illness name adding unit may add the medical fee point score to the injury or illness name added for each medical procedure written on the document.

The document analysis system may further include an injury/illness name analysis unit that sorts the injury/illness names added to the medical procedures described in the document based on the medical procedure score and medical fee point score added to the medical procedures described in the document.

The document analysis system may further include an injury/illness name extraction unit that extracts some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical treatment score and medical fee point score added to the medical treatment described in the document.

The document analysis system may further include an illness/injury name identification unit that identifies the most likely illness/injury name of the patient from the illness/injury names added to the medical procedures described in the document, based on the medical procedure score and medical fee point score added to the medical procedures described in the document.

According to another aspect of the present invention, a document analysis method is provided, which includes a document description receiving unit receiving document description including at least one medical procedure description, and a score and illness name adding unit adding a medical procedure score and an illness name for each medical procedure described in the document based on a medical procedure score master that records a medical procedure score assigned to the medical procedure and an illness name master that records the illness name corresponding to the medical procedure. The document may be at least one selected from a medical statement, a receipt, and a prescription.

In the document analysis method described above, the medical procedure score may be determined for each area to which the medical procedure is applied.

The document analysis method may further include the disease name analysis unit sorting the disease names added to the medical procedures described in the document based on the medical procedure scores added to the medical procedures described in the document.

The document analysis method may further include an illness/injury name extraction unit extracting some illness/injury names from the illness/injury names added to the medical treatments described in the document based on the medical treatment scores added to the medical treatments described in the document.

The document analysis method may further include an illness/disease name identification unit that identifies the most likely illness/disease name of the patient from the illness/disease names added to the medical procedures described in the document based on the medical procedure score added to the medical procedures described in the document.

The document analysis method may further include a score and illness name adding unit adding an illness name score to the illness name added for each medical treatment described in the document, based on an illness score master that records the illness name score added to the medical treatment for the illness name.

The document analysis method may further include the disease name analysis unit sorting the disease names attached to the medical procedures described in the document based on the medical procedure score and disease name score attached to the medical procedures described in the document.

The document analysis method may further include an injury/illness name extraction unit extracting some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical treatment score and the injury/illness name score added to the medical treatment described in the document.

The document analysis method may further include an illness name identification unit that identifies the most likely illness name of the subject patient of the document from the illness names added to the medical procedures described in the document based on the medical procedure score and illness name score added to the medical procedures described in the document.

In the document analysis method described above, the information written on the document may further include diagnosis group classification information, and the document analysis method may further include a score and injury/illness name adding unit deriving a diagnosis group classification number from the diagnosis group classification information written on the document based on a diagnosis group classification number score master that records a diagnosis group classification number score assigned to the diagnosis group classification number for the injury/illness name, and adding a diagnosis group classification number score to the injury/illness name assigned to each medical procedure written on the document.

The document analysis method may further include the disease name analysis unit sorting the disease names attached to the medical procedures described in the document based on the medical procedure score and diagnosis group classification number score attached to the medical procedures described in the document.

The document analysis method may further include an injury/illness name extraction unit extracting some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical treatment score and the diagnosis group classification number score added to the medical treatment described in the document.

The document analysis method may further include an illness/disease name identification unit that identifies the most likely illness/disease name of the patient from the illness/disease names added to the medical procedures described in the document, based on the medical procedure score and diagnosis group classification number score added to the medical procedures described in the document.

In the document analysis method described above, the information written on the document may further include medical fee points, and the document analysis method may be based on a medical fee point master that records the medical fee point score assigned to the medical fee points for the name of the injury or illness, and the score and injury or illness name adding unit may add the medical fee point score to the name of the injury or illness added for each medical procedure written on the document.

The document analysis method may further include the disease name analysis unit sorting the disease names attached to the medical procedures described in the document based on the medical procedure score and medical fee point score attached to the medical procedures described in the document.

The document analysis method may further include an injury/illness name extraction unit extracting some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical treatment score and the medical fee point score added to the medical treatment described in the document.

The document analysis method may further include an illness/disease name identification unit that identifies the most likely illness/disease name of the patient from the illness/disease names added to the medical procedures described in the document, based on the medical procedure score and medical fee point score added to the medical procedures described in the document.

The present invention provides a document analysis system and a document analysis method that can assist in identifying candidates for medical purpose injury or illness names from documents that do not list such names.

1 is a schematic diagram showing a document analysis system according to a first embodiment; 4 is an example of a document according to the first embodiment. 4 is an example of a format including information to be written on a document according to the first embodiment. 1 is an example of a medical procedure score master according to the first embodiment. 1 is an example of an injury/disease name master according to the first embodiment. 13 is an example of a format including information to be written on a document to which a medical procedure score and the name of an injury or illness have been added according to the first embodiment. 13 is an example of a list of extracted illness/disease names according to the first embodiment. 3 is a flowchart showing a document analysis method according to the first embodiment. FIG. 13 is a schematic diagram showing a document analysis system according to a second embodiment. 13 is an example of a medical department score master according to the second embodiment. 13 is an example of a format including information to be written on a document to which the medical department score, medical procedure score, and name of the injury or illness have been added in the second embodiment. 10 is a flowchart showing a document analysis method according to a second embodiment. FIG. 13 is a schematic diagram showing a document analysis system according to a third embodiment. 13 is an example of an injury/illness score master according to the third embodiment. 13 is an example of a list of illness names to which illness scores have been added according to the third embodiment. 13 is a flowchart showing a document analysis method according to the third embodiment. FIG. 13 is a schematic diagram showing a document analysis system according to a fourth embodiment. 13 is an example of a diagnosis group classification number score master according to the fourth embodiment. 13 is a flowchart showing a document analysis method according to the fourth embodiment. FIG. 13 is a schematic diagram showing a document analysis system according to a fifth embodiment. 13 is an example of a medical fee score master according to the fifth embodiment. 13 is a flowchart showing a document analysis method according to the fifth embodiment.

The following describes an embodiment of the present invention. In the following description of the drawings, identical or similar parts are denoted by identical or similar reference symbols. However, the drawings are schematic. Therefore, specific dimensions, etc. should be determined in light of the following description. In addition, the drawings naturally include parts with different dimensional relationships and ratios.

First Embodiment
As shown in Figure 1, the document analysis system of the first embodiment comprises a document description receiving unit 301 that receives document descriptions including a description of at least one medical procedure, a medical procedure score memory device 303 that stores a medical procedure score master that records the medical procedure score assigned to the medical procedure, an injury/illness name memory device 304 that stores an injury/illness name master that records the injury/illness name corresponding to the medical procedure, and a score and injury/illness name adding unit 305 that adds a medical procedure score and injury/illness name to each medical procedure described in the document.

Examples of documents include, but are not limited to, medical statements, receipts, and prescriptions. An example of a document is shown in FIG. 2. Documents are issued for each patient and for each unit. For example, each unit is for each outpatient visit, each hospitalization, or for a certain period of time. The document includes, for example, items such as patient number 101, patient name 102, consultation date 103, and department (medical department) 104. Examples of medical departments include internal medicine, surgery, orthopedics, plastic surgery, neurosurgery, pediatrics, obstetrics and gynecology, gynecology, obstetrics, dermatology, urology, ophthalmology, otolaryngology, rehabilitation, radiology, psychiatry, anesthesiology, clinical laboratory, and pathology. Examples of internal medicine include gastroenterology, cardiology, respiratory medicine, nephrology, endocrinology, diabetes, collagen disease, rheumatology, allergy, hematology, neurology, psychosomatic medicine, infectious disease, and oncology. Examples of surgery include general surgery such as gastrointestinal surgery, breast surgery, endocrine surgery, thyroid surgery, pediatric surgery, and thoracic surgery such as cardiovascular surgery and respiratory surgery. The document does not need to state the name of the patient's illness. Also, the document may state the names of multiple illnesses of the patient, but the name of the illness that is the primary purpose of treatment may not be specified.

The document includes, for example, items of medical procedure category 105, medical procedure 106 corresponding to medical procedure category 105, and medical fee points 107 corresponding to medical procedure 106. Examples of medical procedure categories include initial/revisit fee, basic hospitalization fee, basic hospitalization fee surcharge, specific hospitalization fee, medical management, etc., home medical care, examination, imaging diagnosis, medication, injection, rehabilitation, specialized psychiatric therapy, treatment, surgery, anesthesia, radiation therapy, and pathological diagnosis. Note that the medical procedure category may be displayed by the fee name rather than the procedure name, such as initial/revisit fee. A medical procedure is, for example, a medical procedure for which medical fee points are set in the medical fee schedule. Examples of medical procedures include initial consultation fee, follow-up consultation fee, basic hospitalization fee based on ward type, nursing staffing, and length of hospitalization, comprehensive hospitalization system surcharge, medical record management system surcharge, emergency hospitalization fee, lifestyle-related disease management fee, medical information provision fee, house call fee, home visit medical care fee, home medical care comprehensive management fee, qualitative and semi-quantitative testing of general substances in urine, computed tomography, dispensing fee, prescription fee, drug fee, feeding function therapy, standard psychoanalytic therapy, wound treatment, material fee, closed-circuit general anesthesia, external radiation therapy, and preparation of pathological tissue specimens. Note that medical procedures may be displayed by the fee name rather than the procedure name, such as the initial consultation fee.

The document description receiving unit 301 shown in FIG. 1 is included in, for example, a computer system 300. The document description receiving unit 301 receives, for example, electronic data of a document. If the document is paper, the description of the document may be digitized and transmitted to the document description receiving unit 301 via a document input device 401 such as a scanner. The document input device 401 may be connected to the document description receiving unit 301 by wire or wirelessly. The document input device 401 may be connected to the document description receiving unit 301 via a network. The document input device 401 may be located close to the document description receiving unit 301 or may be located remotely.

The document description receiving unit 301 stores the document description information received in the document description storage unit 306. The document description storage unit 306 is included in the computer system 300, for example. The document description receiving unit 301 may appropriately modify the format of the document when storing the document description information in the document description storage unit 306. In the example shown in FIG. 3, the format including the document description information stored in the document description storage unit 306 includes a table including information on the medical department, medical procedure category, medical procedure, receipt computer processing master code, and the body part that was the subject of the medical procedure.

The medical procedure score storage device 303 shown in FIG. 1 is included in, for example, the computer system 300. As shown in FIG. 4, the medical procedure score master stored in the medical procedure score storage device 303 assigns a medical procedure score to each medical procedure. The medical procedure scores are given a predetermined value in advance. A high score is assigned to a medical procedure that is highly involved in the treatment of the patient's injury or illness, and a low score is assigned to a medical procedure that is less involved in the treatment of the patient's injury or illness. A medical procedure that is highly involved in the treatment of the patient's injury or illness is, for example, an act of directly treating the patient's injury or illness. A medical procedure that is less involved in the treatment of the patient's injury or illness is, for example, an examination to identify the patient's injury or illness, or medication or treatment to alleviate side effects associated with an act of directly treating the patient's injury or illness.

The medical procedure scores in the medical procedure score master are set so that the medical procedures involved in the treatment of a patient's illness can be ranked. For example, by setting a high score for an injection to treat an illness and a low score for an examination to identify an illness before it has been identified, it can be determined that the patient's illness is likely to be one that can be treated by a medical procedure with a high score.

The medical procedure score in the medical procedure score master may be determined for each area to which the medical procedure is applied. For example, if the area to which the medical procedure is applied is specified, the score may be set high, and if the area to which the medical procedure is applied is not specified, the score may be set low.

The injury/illness name storage device 304 shown in FIG. 1 is included in the computer system 300, for example. As shown in FIG. 5, the injury/illness name master stored in the injury/illness name storage device 304 pre-records the injury/illness name corresponding to the medical treatment. The injury/illness name master may record the receipt computer processing master code corresponding to the major, medium, and minor categories of the injury/illness name.

The score and illness name adding unit 305 shown in FIG. 1 is included in, for example, the computer system 300. The score and illness name adding unit 305 reads the medical procedure score master from the medical procedure score storage device 303, and reads the injury/illness name master from the injury/illness name storage device 304. Based on the read medical procedure score master and injury/illness name master, the score and illness name adding unit 305 adds a medical procedure score and an injury/illness name to each medical procedure described in the document stored in the document description storage device 306, as shown in FIG. 6.

For example, the score and illness name adding unit 305 reads out the medical procedure score corresponding to the medical procedure described in the document from the medical procedure score master, and adds the medical procedure score to the medical procedure described in the document. The score and illness name adding unit 305 also reads out the name of the injury or illness corresponding to the medical procedure described in the document from the injury or illness name master, and adds the name of the injury or illness to the medical procedure described in the document.

The score and illness name adding unit 305 stores the document description to which the medical treatment score and the illness name have been added in the document description storage unit 306. The score and illness name adding unit 305 may also output the document description to which the medical treatment score and the illness name have been added to the output device 405. The output device 405 may be connected to the score and illness name adding unit 305 by wire or wirelessly. The output device 405 may be connected to the score and illness name adding unit 305 via a network. The output device 405 may be located close to the score and illness name adding unit 305 or may be located remotely. Examples of the output device 405 include a display, a printer, and an interface.

As shown in FIG. 1, the document analysis system may further include an injury/disease name analysis unit 307 that sorts injury/disease names added to the medical treatments described in the document based on the medical treatment scores added to the medical treatments described in the document. The injury/disease name analysis unit 307 is included in the computer system 300, for example.

For example, if the medical procedure score is set so that the higher the correlation with the illness name is, the illness name analysis unit 307 sorts the illness names added to the medical procedures listed on the document based on the medical procedure score.

The injury/illness name analysis unit 307 stores the sorted injury/illness names in the document description storage device 306. The injury/illness name analysis unit 307 may also output the sorted injury/illness names to the output device 405.

The document analysis system may further include an injury/illness name extraction unit 308 that extracts some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical treatment score added to the medical treatment described in the document. The injury/illness name extraction unit 308 is included in the computer system 300, for example.

For example, if it is set so that the higher the medical procedure score, the higher the correlation with the illness name, the illness name extraction unit 308 extracts some illness names with high medical procedure scores that have been added to the medical procedure written on the document. The illness name extraction unit 308 may extract illness names with high medical procedure scores from among the illness names sorted by the illness name analysis unit 307. An example of an extracted illness name is shown in FIG. 7. The illness name extraction unit 308 may add a corresponding category name to the extracted illness name. For example, the illness name extraction unit 308 may add a corresponding major category name, medium category name, and minor category name to the extracted illness name.

The injury/illness name extraction unit 308 shown in FIG. 1 stores the extracted injury/illness name in the document description storage device 306. The injury/illness name extraction unit 308 may also output the extracted injury/illness name to the output device 405.

The document analysis system may further include an injury/illness name identification unit 309 that identifies the most likely injury/illness name of the subject patient of the document from the injury/illness names added to the medical treatment described in the document based on the medical treatment score added to the medical treatment described in the document. The injury/illness name identification unit 309 is included in the computer system 300, for example.

For example, if the medical procedure score is set so that the higher the correlation with the illness name is, the illness name identification unit 309 identifies the illness name with the highest medical procedure score as the most likely illness name for the patient who is the subject of the document.

The illness/disease name identification unit 309 stores the most likely illness/disease name of the patient in question in the document description memory device 306. The illness/disease name identification unit 309 may also output the most likely illness/disease name of the patient in question to the output device 405.

Next, the document analysis method according to the first embodiment will be described. In step S101 of FIG. 8, the document description receiving unit 301 receives electronic data of document description information. The document description receiving unit 301 stores the received document description information in the document description storage device 306.

In step S103, the score and illness name adding unit 305 reads out a medical treatment score master such as that shown in FIG. 4 from the medical treatment score storage device 303. In step S104, the score and illness name adding unit 305 reads out an injury/illness name master such as that shown in FIG. 5 from the injury/illness name storage device 304.

In step S105, the score and illness name adding unit 305 adds a medical procedure score and an illness name to each medical procedure described in the document stored in the document description storage device 306 based on the read medical procedure score master and illness name master, as shown in FIG. 6.

The score and illness name adding unit 305 stores the document information to which the medical treatment score and illness name have been added in the document information storage device 306. The score and illness name adding unit 305 may also output the document information to which the medical treatment score and illness name have been added to the output device 405.

In step S106, the injury/illness name analysis unit 307 reads out the document details to which the medical procedure score and injury/illness name have been added from the document details storage device 306. The injury/illness name analysis unit 307 sorts the injury/illness names added to the medical procedures described in the document based on the medical procedure score.

The injury/illness name analysis unit 307 stores the sorted injury/illness names in the document description storage device 306. The injury/illness name analysis unit 307 may also output the sorted injury/illness names to the output device 405.

In step S107, the injury/illness name extraction unit 308 reads out the document description to which the medical procedure score and injury/illness name have been added from the document description storage device 306. Based on the medical procedure score, the injury/illness name extraction unit 308 extracts some injury/illness names from the injury/illness names added to the medical procedure described in the document, as shown in FIG. 7.

The injury/illness name extraction unit 308 stores the extracted injury/illness name in the document description storage device 306. The injury/illness name extraction unit 308 may also output the extracted injury/illness name to the output device 405.

In step S108, the injury/illness name identification unit 309 reads out the document description to which the medical procedure score and the injury/illness name have been added from the document description storage device 306. The injury/illness name identification unit 309 identifies the most likely injury/illness name of the target patient of the document from the injury/illness names added to the medical procedure described in the document based on the medical procedure score.

The illness/disease name identification unit 309 stores the most likely illness/disease name of the patient in question in the document description memory device 306. The illness/disease name identification unit 309 may also output the most likely illness/disease name of the patient in question to the output device 405.

The document analysis method according to the first embodiment is not limited to the example shown in FIG. 8. For example, the order of steps S103 to S104 is arbitrary. Steps S103 to S104 may be performed in parallel. Furthermore, steps S106 to S108 are arbitrary, and any of steps S106 to S108 may be omitted. Alternatively, the method may end at step S105.

Second Embodiment
In the document analysis system according to the second embodiment shown in Fig. 9, the document description receiving unit 301 receives document description including at least one medical department, at least one medical procedure in the medical department, and at least one medical procedure category in the medical department that includes the medical procedure. The document analysis system according to the second embodiment further includes a medical department score storage device 302 that stores a medical department score master that records the medical department score assigned to the medical procedure category of the medical department. In the document analysis system according to the second embodiment, the score and injury/illness name adding unit 305 adds a medical department score, a medical procedure score, and an injury/illness name for each medical procedure described in the document.

The medical department score storage device 302 shown in FIG. 9 is included in, for example, the computer system 300. As shown in FIG. 10, the medical department score master stored in the medical department score storage device 302 assigns a medical department score to each medical procedure category of the medical department. The medical department scores are given predetermined values. For example, for each medical department, a high score is assigned to a medical procedure category that corresponds to an action to directly treat the patient's injury or illness, and a low score is assigned to a medical procedure category that may not correspond to an action to directly treat the patient's injury or illness, such as initial and follow-up consultation fees.

For example, in medical departments that perform surgery, high scores are given to surgery, medium scores to tests and medication, and low scores to initial and follow-up consultation fees. However, in medical departments that do not normally perform surgery, such as psychiatry, high scores may be given to categories of medical procedures other than surgery. Also, in cancer treatment, medication and radiation therapy may be given the same high scores as surgery.

The medical department scores in the medical department score master are set so that when a patient visits multiple medical departments, the medical departments involved in the treatment of the patient's illness can be ranked. For example, if a patient visits an internal medicine department and a gastroenterology department, undergoes surgery in the gastroenterology department, and receives medication in the internal medicine department, the medical department scores are set so that if the score for surgery in the gastroenterology department is high and the score for medication in the internal medicine department is low, it is highly likely that the patient's illness is one that can be treated by the gastroenterology department.

The score and illness name adding unit 305 shown in FIG. 9 reads the medical department score master from the medical department score storage device 302, reads the medical procedure score master from the medical procedure score storage device 303, and reads the injury/illness name master from the injury/illness name storage device 304. Based on the read medical department score master, medical procedure score master, and injury/illness name master, the score and illness name adding unit 305 adds a medical department score, medical procedure score, and injury/illness name to each combination of medical department, medical procedure category, and medical procedure described in the document stored in the document description item storage device 306, as shown in FIG. 11.

The score and illness name adding unit 305 stores the details of the document to which the medical department score, medical procedure score, and illness name have been added in the document details storage device 306. The score and illness name adding unit 305 may also output the details of the document to which the medical department score, medical procedure score, and illness name have been added to the output device 405.

In the second embodiment, for example, if the higher the medical department score and medical procedure score, the higher the correlation with the illness name is set, the illness name analysis unit 307 sorts the illness names added to the medical procedures described in the document based on the sum of the medical department score and the medical procedure score, or the product of the medical department score and the medical procedure score.

In the second embodiment, for example, when it is set so that the higher the medical department score and medical procedure score, the higher the correlation with the illness name, the illness name extraction unit 308 extracts some illness names that are added to the medical procedure written on the document and have a high sum of the medical department score and the medical procedure score, or a high product of the medical department score and the medical procedure score. The illness name extraction unit 308 may extract illness names that are high in the sum of the medical department score and the medical procedure score, or the product of the medical department score and the medical procedure score, for the illness names sorted by the illness name analysis unit 307.

In the second embodiment, for example, if the higher the medical department score and medical procedure score are set, the higher the correlation with the illness name is set, the illness name identification unit 309 identifies the illness name with the highest sum of the medical department score and the medical procedure score, or the highest product of the medical department score and the medical procedure score, as the most likely illness name for the patient who is the subject of the document.

Next, a document analysis method according to the second embodiment will be described. Step S101 in FIG. 12 is the same as step S101 in FIG. 8. In step S102 in FIG. 12, the score and illness name adding unit 305 reads out a medical department score master such as that shown in FIG. 10 from the medical department score storage device 302.

In step S105, the score and illness name addition unit 305 adds a department score, medical procedure score, and illness name to each combination of department, medical procedure category, and medical procedure described in the document stored in the document description storage device 306 based on the read department score master, medical procedure score master, and illness name master, as shown in FIG. 11.

The score and illness name adding unit 305 stores the details of the document to which the medical department score, medical procedure score, and illness name have been added in the document details storage device 306. The score and illness name adding unit 305 may also output the details of the document to which the medical department score, medical procedure score, and illness name have been added to the output device 405.

In step S106, the injury/illness name analysis unit 307 reads out the details of the document to which the medical department score, medical procedure score, and injury/illness name have been added from the document description storage unit 306. The injury/illness name analysis unit 307 sorts the injury/illness names added to the medical procedures described in the document based on the medical department score and the medical procedure score.

In step S107, the injury/illness name extraction unit 308 reads out the details of the document to which the medical department score, medical procedure score, and injury/illness name have been added from the document description memory device 306. The injury/illness name extraction unit 308 extracts some injury/illness names from the injury/illness names added to the medical procedures described in the document based on the medical department score and the medical procedure score.

In step S108, the injury/illness name identification unit 309 reads out the details of the document to which the medical department score, medical procedure score, and injury/illness name have been added from the document description storage device 306. The injury/illness name identification unit 309 identifies the most likely injury/illness name of the patient who is the subject of the document from the injury/illness names added to the medical procedures described in the document based on the medical department score and the medical procedure score.

Third Embodiment
The document analysis system according to the third embodiment further includes an injury/illness score storage device 310 that stores an injury/illness score master that records an injury/illness name score assigned to a medical treatment for a corresponding injury/illness name, as shown in Fig. 13. The injury/illness score storage device 310 is included in the computer system 300, for example.

As shown in FIG. 14, the injury/illness score master stored in the injury/illness score storage device 310 assigns an injury/illness name score to each medical procedure for the injury/illness name. The injury/illness name score is assigned a predetermined value in advance. For example, a high score is assigned to a combination of an injury/illness name and a medical procedure that is performed frequently, and a low score is assigned to a combination of an injury/illness name and a medical procedure that is performed infrequently.

The score and illness name adding unit 305 shown in FIG. 13 adds an illness name score to the illness name added for each medical procedure described in the document, as shown in FIG. 15. In the example shown in FIG. 15, the illness name score is added to the illness name extracted by the illness name extraction unit 308, but the illness name score may also be added to the illness name before extraction.

In the third embodiment, the injury/illness name analysis unit 307 shown in FIG. 13 may sort the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, and injury/illness name score added to the medical procedures described in the document.

For example, if the higher the medical department score, medical procedure score, and injury/illness name score, the higher the correlation with the injury/illness name is set, the injury/illness name analysis unit 307 sorts the injury/illness names added to the medical procedures listed on the document based on the sum of the medical department score, medical procedure score, and injury/illness name score, or the product of the medical department score, medical procedure score, and injury/illness name score.

The injury/illness name extraction unit 308 may extract some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical department score, medical treatment score, and injury/illness name score added to the medical treatment described in the document.

For example, if the higher the medical department score, medical procedure score, and injury/illness name score, the higher the correlation with the injury/illness name is set, the injury/illness name extraction unit 308 extracts some injury/illness names that are high in the sum of the medical department score, medical procedure score, and injury/illness name score, or in the product of the medical department score, medical procedure score, and injury/illness name score, from the injury/illness names added to the medical procedures listed on the document.

The illness/injury name identification unit 309 may identify the most likely illness/injury name of the patient covered by the document from the illness/injury names attached to the medical procedures described in the document based on the medical department score, medical procedure score, and illness/injury name score attached to the medical procedures described in the document.

For example, if it is set so that the higher the medical department score, medical procedure score, and injury/illness name score, the higher the correlation with the injury/illness name, the injury/illness name identification unit 309 identifies the injury/illness name that is the highest sum of the medical department score, medical procedure score, and injury/illness name score, or the highest product of the medical department score, medical procedure score, and injury/illness name score, as the most likely injury/illness name for the patient in question.

Next, a document analysis method according to the third embodiment will be described. As shown in FIG. 16, first, steps S101 to S107 are carried out in the same manner as in the first embodiment.

In step S201, the score and illness name addition unit 305 reads an illness score master such as that shown in FIG. 14 from the illness score storage device 310, which records the illness name score assigned to the medical treatment for the illness name.

In step S202, the score and illness name addition unit 305 adds an illness name score to the illness name added to each medical treatment described in the document stored in the document description memory device 306 based on the read illness name score, as shown in FIG. 15.

The score and injury/illness name adding unit 305 stores the document description to which the injury/illness name score has been added in the document description storage device 306. The score and injury/illness name adding unit 305 may also output the document description to which the injury/illness name score has been added to the output device 405.

In step S203, the injury/illness name analysis unit 307 reads out the document details to which the medical department score, medical procedure score, injury/illness name, and injury/illness name score have been added from the document details storage device 306. The injury/illness name analysis unit 307 sorts the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, and injury/illness name score.

The injury/illness name analysis unit 307 stores the sorted injury/illness names in the document description storage device 306. The injury/illness name analysis unit 307 may also output the sorted injury/illness names to the output device 405.

In step S204, the injury/illness name extraction unit 308 reads out the document details to which the medical department score, medical procedure score, injury/illness name, and injury/illness name score have been added from the document details storage device 306. The injury/illness name extraction unit 308 extracts some injury/illness names from the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, and injury/illness name score.

The injury/illness name extraction unit 308 stores the extracted injury/illness name in the document description storage device 306. The injury/illness name extraction unit 308 may also output the extracted injury/illness name to the output device 405.

In step S205, the injury/illness name identification unit 309 reads out the document details to which the medical department score, medical procedure score, injury/illness name, and injury/illness name score have been added from the document details storage device 306. The injury/illness name identification unit 309 identifies the most likely injury/illness name of the patient who is the subject of the document from the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, and injury/illness name score.

The illness/disease name identification unit 309 stores the most likely illness/disease name of the patient in question in the document description memory device 306. The illness/disease name identification unit 309 may also output the most likely illness/disease name of the patient in question to the output device 405.

The document analysis method according to the third embodiment is not limited to the example shown in FIG. 16. For example, steps S106 and S107 may be omitted, and step S201 may be performed after step S105. Alternatively, if steps S106 and S107 are performed, in step S203, the disease name analysis unit 307 may sort the disease names based only on the disease name score, in step S204, the disease name extraction unit 308 may extract some disease names based only on the disease name score, and in step S205, the disease name identification unit 309 may identify the most likely disease name of the target patient of the document based only on the disease name score. In addition, steps S203 to S205 are optional, and any of steps S203 to S205 may be omitted. Alternatively, the process may end at step S202.

Fourth Embodiment
In the fourth embodiment, the items written on the document may further include diagnosis group classification information. As shown in Fig. 17, the document analysis system according to the fourth embodiment further includes a diagnosis group classification number score storage device 311 that stores a diagnosis group classification number score master that records the diagnosis group classification number scores assigned to the diagnosis group classification numbers for the names of injuries and illnesses. The diagnosis group classification number score storage device 311 is included in the computer system 300, for example.

As shown in FIG. 18, the diagnosis group classification number score master stored in the diagnosis group classification number score storage device 311 assigns a diagnosis group classification number score to each diagnosis group classification number for an injury or illness name. The diagnosis group classification number score is assigned a predetermined value in advance. For example, a high score is assigned to a combination of an injury or illness name and a diagnosis group classification number with a high degree of certainty, and a low score is assigned to a combination of an injury or illness name and a diagnosis group classification number with a low degree of certainty.

The score and illness name addition unit 305 shown in FIG. 17 derives a diagnosis group classification number from the diagnosis group classification information written on the document, and adds a diagnosis group classification number score from a combination of the number of days of hospitalization and points written on the document.

In the fourth embodiment, the injury/illness name analysis unit 307 may sort the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, and diagnosis group classification number score added to the medical procedures described in the document.

For example, if the higher the medical department score, medical procedure score, and diagnosis group classification number score, the higher the correlation with the illness name is set, the illness name analysis unit 307 sorts the illness names added to the medical procedures listed on the document based on the sum of the medical department score, medical procedure score, and diagnosis group classification number score, or the product of the medical department score, medical procedure score, and diagnosis group classification number score.

The injury/illness name analysis unit 307 may sort the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, injury/illness name score, and diagnosis group classification number score added to the medical procedures described in the document.

The injury/illness name extraction unit 308 may extract some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical department score, medical treatment score, and diagnosis group classification number score added to the medical treatment described in the document.

For example, if it is set so that the higher the medical department score, medical procedure score, and diagnosis group classification number score, the higher the correlation with the illness name, the illness name extraction unit 308 extracts some illness names that are high in the sum of the medical department score, medical procedure score, and diagnosis group classification number score, or the product of the medical department score, medical procedure score, and diagnosis group classification number score, from the illness names added to the medical procedures listed on the document.

The injury/illness name extraction unit 308 may extract some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical department score, medical treatment score, injury/illness name score, and diagnosis group classification number score added to the medical treatment described in the document.

The illness/injury name identification unit 309 may identify the most likely illness/injury name of the patient covered by the document from the illness/injury names attached to the medical procedures described in the document based on the medical department score, medical procedure score, and diagnosis group classification number score attached to the medical procedures described in the document.

For example, if it is set so that the higher the medical department score, medical procedure score, and diagnosis group classification number score, the higher the correlation with the illness name, the illness name identification unit 309 identifies the illness name with the highest sum of the medical department score, medical procedure score, and diagnosis group classification number score, or the highest product of the medical department score, medical procedure score, and diagnosis group classification number score, as the most likely illness name for the patient covered by the document.

The injury/illness name identification unit 309 may identify the most likely injury/illness name of the patient covered by the document from the injury/illness names attached to the medical procedures described in the document based on the medical department score, medical procedure score, injury/illness name score, and diagnosis group classification number score attached to the medical procedures described in the document.

Next, a document analysis method according to the fourth embodiment will be described. As shown in FIG. 19, first, steps S101 to S107 are carried out as in the first embodiment. Then, steps S201 to S202 are carried out as in the third embodiment.

In step S301, the score and illness name adding unit 305 reads out the diagnosis group classification number score assigned to the diagnosis group classification number for the illness name, as shown in FIG. 18, from the diagnosis group classification number score storage device 311.

In step S302, the score and illness name addition unit 305 adds the diagnosis group classification number score to the illness name added for each medical procedure described in the document stored in the document description storage device 306 based on the read diagnosis group classification number score.

The score and illness name adding unit 305 stores the document description to which the diagnosis group classification number score has been added in the document description storage device 306. The score and illness name adding unit 305 may also output the document description to which the diagnosis group classification number score has been added to the output device 405.

In step S303, the injury/illness name analysis unit 307 reads out the document details to which the medical department score, medical procedure score, injury/illness name, injury/illness name score, and diagnosis group classification number score have been added from the document details storage device 306. The injury/illness name analysis unit 307 sorts the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, injury/illness name, injury/illness name score, and diagnosis group classification number score.

The injury/illness name analysis unit 307 stores the sorted injury/illness names in the document description storage device 306. The injury/illness name analysis unit 307 may also output the sorted injury/illness names to the output device 405.

In step S304, the injury/illness name extraction unit 308 reads out the document details to which the medical department score, medical procedure score, injury/illness name, injury/illness name score, and diagnosis group classification number score have been added from the document details storage device 306. The injury/illness name extraction unit 308 extracts some injury/illness names from the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, injury/illness name, injury/illness name score, and diagnosis group classification number score.

The injury/illness name extraction unit 308 stores the extracted injury/illness name in the document description storage device 306. The injury/illness name extraction unit 308 may also output the extracted injury/illness name to the output device 405.

In step S305, the injury/illness name identification unit 309 reads out the document details to which the medical department score, medical procedure score, injury/illness name, injury/illness name score, and diagnosis group classification number score have been added from the document details storage device 306. The injury/illness name identification unit 309 identifies the most likely injury/illness name of the patient who is the subject of the document from the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, injury/illness name, injury/illness name score, and diagnosis group classification number score.

The illness/disease name identification unit 309 stores the most likely illness/disease name of the patient in question in the document description memory device 306. The illness/disease name identification unit 309 may also output the most likely illness/disease name of the patient in question to the output device 405.

The document analysis method according to the fourth embodiment is not limited to the example shown in FIG. 19. For example, steps S106 and S107 may be omitted, and step S201 may be performed after step S105. Alternatively, if steps S106 and S107 are performed, in step S303, the disease name analysis unit 307 may sort the disease names based only on the disease name score and the diagnosis group classification number score, in step S304, the disease name extraction unit 308 may extract some disease names based only on the disease name score and the diagnosis group classification number score, and in step S305, the disease name identification unit 309 may identify the most likely disease name of the target patient of the document based only on the disease name score and the diagnosis group classification number score. Also, steps S303 to S305 are optional, and any of steps S303 to S305 may be omitted. Alternatively, the process may end at step S302.

Also, steps S201 and S202 may be omitted. In this case, in step S303, the injury/illness name analysis unit 307 may sort the injury/illness names based only on the diagnosis group classification number score, in step S304, the injury/illness name extraction unit 308 may extract some injury/illness names based only on the diagnosis group classification number score, and in step S305, the injury/illness name identification unit 309 may identify the most likely injury/illness name of the subject patient of the document based only on the diagnosis group classification number score.

Fifth Embodiment
In the fifth embodiment, the items to be described on the document may further include medical fee points. As shown in Fig. 20, the document analysis system according to the fifth embodiment further includes a medical fee point score storage device 312 that stores a medical fee point score master that records the medical fee point scores assigned to the medical fee points for the medical procedure. The medical fee point score storage device 312 is included in, for example, the computer system 300. Note that the medical fee point score master and the diagnosis group classification number score master described in the fourth embodiment may be integrated together.

As shown in FIG. 21, the medical fee score master stored in the medical fee score storage device 312 assigns a medical fee score to each medical fee score for a medical procedure. The medical fee score is assigned a predetermined value. For example, a high score is assigned to a combination of a medical procedure and medical fee points with a high degree of certainty, and a low score is assigned to a combination of a medical procedure and medical fee points with a low degree of certainty.

The score and illness name addition unit 305 shown in FIG. 20 adds a medical fee point score to the combination of the illness name added for each medical procedure listed on the document and the medical fee point listed on the document.

In the fifth embodiment, the injury/illness name analysis unit 307 may sort the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, and medical fee point score added to the medical procedures described in the document.

For example, if the higher the medical department score, medical procedure score, and medical fee point score, the higher the correlation with the illness name is set, the illness name analysis unit 307 sorts the illness names added to the medical procedures listed on the document based on the sum of the medical department score, medical procedure score, and medical fee point score, or the product of the medical department score, medical procedure score, and medical fee point score.

The injury/illness name analysis unit 307 may sort the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, injury/illness name score, and medical fee point score added to the medical procedures described in the document.

The injury/illness name analysis unit 307 may sort the injury/illness names attached to the medical procedures described in the document based on the medical department score, medical procedure score, injury/illness name score, diagnosis group classification number score, and medical fee point score attached to the medical procedures described in the document.

The injury/illness name extraction unit 308 may extract some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical department score, medical treatment score, and medical fee point score added to the medical treatment described in the document.

For example, if the higher the medical department score, medical procedure score, and medical fee point score, the higher the correlation with the illness name is set, the illness name extraction unit 308 extracts some illness names that are high in the sum of the medical department score, medical procedure score, and medical fee point score, or the product of the medical department score, medical procedure score, and medical fee point score, from the illness names added to the medical procedures listed on the document.

The injury/illness name extraction unit 308 may extract some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical department score, medical treatment score, injury/illness name score, and medical fee point score added to the medical treatment described in the document.

The injury/illness name extraction unit 308 may extract some injury/illness names from the injury/illness names added to the medical treatment described in the document based on the medical department score, medical treatment score, injury/illness name score, diagnosis group classification number score, and medical fee point score added to the medical treatment described in the document.

The injury/illness name identification unit 309 may identify the most likely injury/illness name of the patient covered by the document from the injury/illness names attached to the medical procedures described in the document based on the medical department score, medical procedure score, and medical fee point score attached to the medical procedures described in the document.

For example, if it is set so that the higher the medical department score, medical procedure score, and medical fee point score, the higher the correlation with the illness name, the illness name identification unit 309 will identify the illness name with the highest sum of the medical department score, medical procedure score, and medical fee point score, or the highest product of the medical department score, medical procedure score, and medical fee point score, as the most likely illness name for the patient covered by the document.

The injury/illness name identification unit 309 may identify the most likely injury/illness name of the patient covered by the document from the injury/illness names attached to the medical treatment described in the document based on the medical department score, medical treatment score, injury/illness name score, and medical fee point score attached to the medical treatment described in the document.

The injury/illness name identification unit 309 may identify the most likely injury/illness name of the patient covered by the document from the injury/illness names attached to the medical procedures described in the document based on the medical department score, medical procedure score, injury/illness name score, diagnosis group classification number score, and medical fee point score attached to the medical procedures described in the document.

Next, a document analysis method according to the fifth embodiment will be described. As shown in FIG. 22, first, steps S101 to S107 are carried out as in the first embodiment. Then, steps S201 to S202 are carried out as in the third embodiment, and steps S301 to S302 are carried out as in the fourth embodiment.

In step S401, the score and illness name adding unit 305 reads the medical fee score attached to the medical fee points for the medical procedure from the medical fee score storage device 312, as shown in FIG. 21.

In step S402, the score and illness name addition unit 305 adds a medical fee point score to the medical procedure described in the document stored in the document description storage device 306 based on the read medical fee point score.

The score and illness name adding unit 305 stores the information on the document to which the medical fee score has been added in the document information storage device 306. The score and illness name adding unit 305 may also output the information on the document to which the medical fee score has been added to the output device 405.

In step S403, the injury/illness name analysis unit 307 reads out the document details to which the medical department score, medical procedure score, injury/illness name, injury/illness name score, diagnosis group classification number score, and medical fee point score have been added from the document details storage device 306. The injury/illness name analysis unit 307 sorts the injury/illness names added to the medical procedures described in the document based on the medical procedure score, injury/illness name, injury/illness name score, diagnosis group classification number score, and medical fee point score.

The injury/illness name analysis unit 307 stores the sorted injury/illness names in the document description storage device 306. The injury/illness name analysis unit 307 may also output the sorted injury/illness names to the output device 405.

In step S404, the injury/illness name extraction unit 308 reads out the document details to which the medical department score, medical procedure score, injury/illness name, injury/illness name score, diagnosis group classification number score, and medical fee point score have been added from the document details storage device 306. The injury/illness name extraction unit 308 extracts some injury/illness names from the injury/illness names added to the medical procedures described in the document based on the medical department score, medical procedure score, injury/illness name, injury/illness name score, diagnosis group classification number score, and medical fee point score.

The injury/illness name extraction unit 308 stores the extracted injury/illness name in the document description storage device 306. The injury/illness name extraction unit 308 may also output the extracted injury/illness name to the output device 405.

In step S405, the injury/illness name identification unit 309 reads out the document details to which the medical department score, medical procedure score, injury/illness name, injury/illness name score, diagnosis group classification number score, and medical fee point score have been added from the document details storage device 306. The injury/illness name identification unit 309 identifies the most likely injury/illness name of the patient who is the subject of the document from the injury/illness names added to the medical procedure described in the document based on the medical department score, medical procedure score, injury/illness name, injury/illness name score, diagnosis group classification number score, and medical fee point score.

The illness/disease name identification unit 309 stores the most likely illness/disease name of the patient in question in the document description memory device 306. The illness/disease name identification unit 309 may also output the most likely illness/disease name of the patient in question to the output device 405.

The document analysis method according to the fifth embodiment is not limited to the example shown in FIG. 22. For example, steps S106 and S107 may be omitted, and step S201 may be performed after step S105. Alternatively, if steps S106 and S107 are performed, in step S403, the disease name analysis unit 307 may sort the disease names based only on the disease name score, diagnosis group classification number score, and medical fee point score, in step S404, the disease name extraction unit 308 may extract some disease names based only on the disease name score, diagnosis group classification number score, and medical fee point score, and in step S405, the disease name identification unit 309 may identify the most likely disease name of the target patient of the document based only on the disease name score, diagnosis group classification number score, and medical fee point score. Also, steps S403 to S405 are optional, and any of steps S403 to S405 may be omitted. Alternatively, the process may end at step S402.

Also, steps S201 and S202 may be omitted. In this case, in step S403, the injury/illness name analysis unit 307 sorts the injury/illness names based only on the diagnosis group classification number score and the medical fee point score, in step S404, the injury/illness name extraction unit 308 extracts some injury/illness names based only on the diagnosis group classification number score and the medical fee point score, and in step S405, the injury/illness name identification unit 309 may identify the most likely injury/illness name of the patient who is the subject of the document based only on the diagnosis group classification number score and the medical fee point score.

Also, steps S301 to S302 may be omitted. In this case, in step S403, the injury/illness name analysis unit 307 may sort the injury/illness names based only on the medical fee point score, in step S404, the injury/illness name extraction unit 308 may extract some injury/illness names based only on the medical fee point score, and in step S405, the injury/illness name identification unit 309 may identify the most likely injury/illness name of the patient who is the subject of the document based only on the medical fee point score.

Although the present invention has been described above by way of an embodiment, the description and drawings forming part of this disclosure should not be understood as limiting this invention. From this disclosure, various alternative embodiments, examples and operating techniques should become apparent to those skilled in the art. It should be understood that the present invention encompasses various embodiments and the like that are not described herein.

101: Patient number, 102: Patient name, 103: Date of consultation, 105: Medical procedure category, 106: Medical procedure, 107: Medical fee points, 300: Computer system, 301: Document entry item receiving unit, 302: Medical department score storage unit, 303: Medical procedure score storage unit, 304: Illness name storage unit, 305: Illness name addition unit, 306: Document entry item storage unit, 307: Illness name analysis unit, 308: Illness name extraction unit, 309: Illness name identification unit, 310: Illness score storage unit, 311: Diagnosis group classification number score storage unit, 312: Medical fee point score storage unit, 401: Document input device, 405: Output device

Claims (48)

A document description receiving unit that receives description of a document including a description of at least one medical procedure;
a medical procedure score storage device for storing a medical procedure score assigned to the medical procedure;
an injury/disease name storage device for storing the injury/disease name corresponding to the medical treatment;
A score and disease name adding unit that adds the medical treatment score and the disease name for each medical treatment described in the document;
an injury/disease name extraction unit that extracts some injury/disease names from injury/disease names added to the medical treatment described in the document based on the medical treatment score added to the medical treatment described in the document;
A document analysis system comprising: The document analysis system according to claim 1 , wherein the medical procedure score is determined for each part of the body to which the medical procedure is applied. The document analysis system according to claim 1 , further comprising an injury/illness name analysis unit that sorts injury/illness names added to the medical treatment described in the document based on the medical treatment score added to the medical treatment described in the document . A document description receiving unit that receives description of a document including a description of at least one medical procedure;
a medical procedure score storage device for storing a medical procedure score assigned to the medical procedure;
an injury/disease name storage device for storing the injury/disease name corresponding to the medical treatment;
A score and disease name adding unit that adds the medical treatment score and the disease name for each medical treatment described in the document;
An injury/disease name identification unit that identifies the most likely injury/disease name of the target patient of the document from the injury/disease names added to the medical treatment described in the document based on the medical treatment score added to the medical treatment described in the document;
A document analysis system comprising: The document analysis system according to claim 4 , wherein the medical procedure score is determined for each part of the body to which the medical procedure is applied. The document analysis system according to claim 4, further comprising an injury/illness name analysis unit that sorts injury/illness names added to the medical treatment described in the document based on the medical treatment score added to the medical treatment described in the document . A document description receiving unit that receives description of a document including a description of at least one medical procedure;
a medical procedure score storage device for storing a medical procedure score assigned to the medical procedure;
an injury/disease name storage device for storing the injury/disease name corresponding to the medical treatment;
A score and disease name adding unit that adds the medical treatment score and the disease name for each medical treatment described in the document;
an injury/disease score storage device that stores an injury/disease name score assigned to a medical treatment for the injury/disease name;
A document analysis system comprising:
The score and illness name adding unit adds the illness name score to the illness name added for each medical treatment described in the document,
Further comprising an injury/disease name extraction unit that extracts some injury/disease names from the injury/disease names added to the medical treatment described in the document based on the medical treatment score and the injury/disease name score added to the medical treatment described in the document.
Document analysis system. The document analysis system according to claim 7 , wherein the medical procedure score is determined for each part of the body to which the medical procedure is applied. The document analysis system of claim 7, further comprising an injury/illness name analysis unit that sorts injury/illness names added to the medical treatment described in the document based on the medical treatment score and the injury/illness name score added to the medical treatment described in the document . A document description receiving unit that receives description of a document including a description of at least one medical procedure;
a medical procedure score storage device for storing a medical procedure score assigned to the medical procedure;
an injury/disease name storage device for storing the injury/disease name corresponding to the medical treatment;
A score and disease name adding unit that adds the medical treatment score and the disease name for each medical treatment described in the document;
an injury/disease score storage device that stores an injury/disease name score assigned to a medical treatment for the injury/disease name;
A document analysis system comprising:
The score and illness name adding unit adds the illness name score to the illness name added for each medical treatment described in the document,
Further, a disease name identification unit is provided that identifies the most likely disease name of the target patient of the document from the disease names added to the medical treatment described in the document based on the medical treatment score and the disease name score added to the medical treatment described in the document.
Document analysis system. The document analysis system according to claim 10 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis system of claim 10, further comprising an injury/illness name analysis unit that sorts injury/illness names added to the medical treatment described in the document based on the medical treatment score and the injury/illness name score added to the medical treatment described in the document . A document description receiving unit that receives description of a document including a description of at least one medical procedure;
a medical procedure score storage device for storing a medical procedure score assigned to the medical procedure;
an injury/disease name storage device for storing the injury/disease name corresponding to the medical treatment;
A score and disease name adding unit that adds the medical treatment score and the disease name for each medical treatment described in the document;
A document analysis system comprising:
The document further includes diagnosis group classification information,
A diagnosis group classification number score storage device is further provided for storing a diagnosis group classification number score assigned to the diagnosis group classification number for the injury or illness name,
The score and illness name adding unit derives a diagnosis group classification number from the diagnosis group classification information described in the document, and adds the illness name added to each of the medical procedures described in the document,
adding said diagnosis group classification number score;
Further comprising an injury/disease name extraction unit for extracting a part of injury/disease names from injury/disease names added to the medical treatment described in the document based on the medical treatment score and the diagnosis group classification number score added to the medical treatment described in the document.
Document analysis system. The document analysis system according to claim 13 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis system according to claim 13, further comprising an injury/illness name analysis unit that sorts injury/illness names attached to the medical treatment described in the document based on the medical treatment score and the diagnosis group classification number score attached to the medical treatment described in the document . A document description receiving unit that receives description of a document including a description of at least one medical procedure;
a medical procedure score storage device for storing a medical procedure score assigned to the medical procedure;
an injury/disease name storage device for storing the injury/disease name corresponding to the medical treatment;
A score and disease name adding unit that adds the medical treatment score and the disease name for each medical treatment described in the document;
A document analysis system comprising:
The document further includes diagnosis group classification information,
A diagnosis group classification number score storage device is further provided for storing a diagnosis group classification number score assigned to the diagnosis group classification number for the injury or illness name,
The score and illness name adding unit derives a diagnosis group classification number from the diagnosis group classification information described in the document, and adds the illness name added to each of the medical procedures described in the document,
adding said diagnosis group classification number score;
Further, a disease name identification unit is provided for identifying the most likely disease name of the subject patient of the document from the disease names added to the medical treatment described in the document based on the medical treatment score and the diagnosis group classification number score added to the medical treatment described in the document.
Document analysis system. The document analysis system according to claim 16 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis system according to claim 16, further comprising an injury/illness name analysis unit that sorts injury/illness names added to the medical treatments described in the document based on the medical treatment scores and the diagnosis group classification number scores added to the medical treatments described in the document . A document description receiving unit that receives description of a document including a description of at least one medical procedure;
a medical procedure score storage device for storing a medical procedure score assigned to the medical procedure;
an injury/disease name storage device for storing the injury/disease name corresponding to the medical treatment;
A score and disease name adding unit that adds the medical treatment score and the disease name for each medical treatment described in the document;
A document analysis system comprising:
The information contained in the document further includes medical fee points,
A medical fee score storage device is further provided for storing a medical fee score assigned to the medical fee points for the injury or illness name,
The score and illness name adding unit adds the medical fee score to the illness name added for each medical treatment described in the document,
Further comprising an injury/disease name extraction unit for extracting some injury/disease names from injury/disease names added to the medical treatment described in the document based on the medical treatment score and the medical fee point score added to the medical treatment described in the document.
Document analysis system. The document analysis system according to claim 19 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis system according to claim 19, further comprising an injury/illness name analysis unit that sorts injury/illness names attached to the medical treatment described in the document based on the medical treatment score and the medical fee point score attached to the medical treatment described in the document . A document description receiving unit that receives description of a document including a description of at least one medical procedure;
a medical procedure score storage device for storing a medical procedure score assigned to the medical procedure;
an injury/disease name storage device for storing the injury/disease name corresponding to the medical treatment;
A score and disease name adding unit that adds the medical treatment score and the disease name for each medical treatment described in the document;
A document analysis system comprising:
The information contained in the document further includes medical fee points,
A medical fee score storage device is further provided for storing a medical fee score assigned to the medical fee points for the injury or illness name,
The score and illness name adding unit adds the medical fee score to the illness name added for each medical treatment described in the document,
Further comprising an injury/disease name identification unit that identifies the most likely injury/disease name of the target patient of the document from the injury/disease names added to the medical treatment described in the document based on the medical treatment score and the medical fee point score added to the medical treatment described in the document.
Document analysis system. The document analysis system according to claim 22 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis system according to claim 22, further comprising an injury/illness name analysis unit that sorts injury/illness names attached to the medical treatment described in the document based on the medical treatment score and the medical fee point score attached to the medical treatment described in the document . A document description receiving unit receives a document description including at least one medical procedure;
A score and disease name adding unit adds the medical procedure score and the disease name for each medical procedure described in the document based on a medical procedure score master that records the medical procedure score assigned to the medical procedure and a disease name master that records the disease name corresponding to the medical procedure;
An injury/disease name extraction unit extracts some injury/disease names from the injury/disease names added to the medical treatment described in the document based on the medical treatment score added to the medical treatment described in the document;
A document analysis method, including: The document analysis method according to claim 25 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis method according to claim 25, further comprising an injury/illness name analysis unit sorting the injury/illness names attached to the medical treatments described in the document based on the medical treatment scores attached to the medical treatments described in the document . A document description receiving unit receives a document description including at least one medical procedure;
A score and disease name adding unit adds the medical procedure score and the disease name for each medical procedure described in the document based on a medical procedure score master that records the medical procedure score assigned to the medical procedure and a disease name master that records the disease name corresponding to the medical procedure;
Based on the medical treatment score added to the medical treatment described in the document, an injury/disease name identification unit identifies the most likely injury/disease name of the target patient of the document from the injury/disease names added to the medical treatment described in the document;
A document analysis method, including: The document analysis method according to claim 28 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis method according to claim 28, further comprising an injury/illness name analysis unit sorting the injury/illness names attached to the medical treatments described in the document based on the medical treatment scores attached to the medical treatments described in the document . A document description receiving unit receives a document description including at least one medical procedure;
A score and disease name adding unit adds the medical procedure score and the disease name for each medical procedure described in the document based on a medical procedure score master that records the medical procedure score assigned to the medical procedure and a disease name master that records the disease name corresponding to the medical procedure;
A document analysis method comprising:
The score and illness name adding unit further includes adding the injury/illness name score to the injury/illness name added for each medical treatment described in the document based on an injury/illness score master that records the injury/illness name score added to the medical treatment for the injury/illness name,
The method further includes: an injury/disease name extraction unit extracting a part of injury/disease names from injury/disease names added to the medical treatment described in the document based on the medical treatment score and the injury/disease name score added to the medical treatment described in the document;
Document analysis methods. The document analysis method according to claim 31 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis method of claim 31, further comprising an injury/illness name analysis unit sorting the injury/illness names attached to the medical treatment described in the document based on the medical treatment score and the injury/illness name score attached to the medical treatment described in the document . A document description receiving unit receives a document description including at least one medical procedure;
A score and disease name adding unit adds the medical procedure score and the disease name for each medical procedure described in the document based on a medical procedure score master that records the medical procedure score assigned to the medical procedure and a disease name master that records the disease name corresponding to the medical procedure;
A document analysis method comprising:
The score and illness name adding unit further includes adding the injury/illness name score to the injury/illness name added for each medical treatment described in the document based on an injury/illness score master that records the injury/illness name score added to the medical treatment for the injury/illness name,
The method further includes: based on the medical treatment score and the injury/illness name score added to the medical treatment described in the document, an injury/illness name identification unit identifies the most likely injury/illness name of the target patient of the document from the injury/illness names added to the medical treatment described in the document;
Document analysis methods. The document analysis method according to claim 34 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis method of claim 34, further comprising an injury/illness name analysis unit sorting the injury/illness names attached to the medical treatment described in the document based on the medical treatment score and the injury/illness name score attached to the medical treatment described in the document . A document description receiving unit receives a document description including at least one medical procedure;
A score and disease name adding unit adds the medical procedure score and the disease name for each medical procedure described in the document based on a medical procedure score master that records the medical procedure score assigned to the medical procedure and a disease name master that records the disease name corresponding to the medical procedure;
A document analysis method comprising:
The document further includes diagnosis group classification information,
The score and illness name adding unit derives a diagnosis group classification number from the diagnosis group classification information described in the document based on a diagnosis group classification number score master that records a diagnosis group classification number score assigned to a diagnosis group classification number for an illness name, and further includes adding the diagnosis group classification number score to the illness name added for each medical treatment described in the document,
The method further includes: extracting a part of injury or illness names from injury or illness names added to the medical treatment described in the document based on the medical treatment score and the diagnosis group classification number score added to the medical treatment described in the document;
Document analysis methods. The document analysis method according to claim 37 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis method of claim 37, further comprising an injury/illness name analysis unit sorting the injury/illness names attached to the medical treatments described in the document based on the medical treatment scores and the diagnosis group classification number scores attached to the medical treatments described in the document . A document description receiving unit receives a document description including at least one medical procedure;
A score and disease name adding unit adds the medical procedure score and the disease name for each medical procedure described in the document based on a medical procedure score master that records the medical procedure score assigned to the medical procedure and a disease name master that records the disease name corresponding to the medical procedure;
A document analysis method comprising:
The document further includes diagnosis group classification information,
The score and illness name adding unit derives a diagnosis group classification number from the diagnosis group classification information described in the document based on a diagnosis group classification number score master that records a diagnosis group classification number score assigned to a diagnosis group classification number for an illness name, and further includes adding the diagnosis group classification number score to the illness name added for each medical treatment described in the document,
The method further includes: based on the medical procedure score and the diagnosis group classification number score attached to the medical procedure described in the document, an injury/disease name identification unit identifies the most likely injury/disease name of the target patient of the document from the injury/disease names attached to the medical procedure described in the document;
Document analysis methods. The document analysis method according to claim 40 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis method of claim 40, further comprising an injury/illness name analysis unit sorting the injury/illness names attached to the medical treatments described in the document based on the medical treatment scores and the diagnosis group classification number scores attached to the medical treatments described in the document . A document description receiving unit receives a document description including at least one medical procedure;
A score and disease name adding unit adds the medical procedure score and the disease name for each medical procedure described in the document based on a medical procedure score master that records the medical procedure score assigned to the medical procedure and a disease name master that records the disease name corresponding to the medical procedure;
A document analysis method comprising:
The information contained in the document further includes medical fee points,
The method further includes, based on a medical fee score master that records a medical fee score assigned to the medical fee points for the name of the injury or illness, the score and injury or illness name adding unit adding the medical fee score to the name of the injury or illness added for each medical treatment described in the document,
The method further includes an injury/disease name extraction unit extracting a part of injury/disease names from injury/disease names added to the medical treatment described in the document based on the medical treatment score and the medical fee point score added to the medical treatment described in the document.
Document analysis methods. The document analysis method according to claim 43 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis method of claim 43, further comprising an injury/illness name analysis unit sorting the injury/illness names attached to the medical treatment described in the document based on the medical treatment score and the medical fee point score attached to the medical treatment described in the document . A document description receiving unit receives a document description including at least one medical procedure;
A score and disease name adding unit adds the medical procedure score and the disease name for each medical procedure described in the document based on a medical procedure score master that records the medical procedure score assigned to the medical procedure and a disease name master that records the disease name corresponding to the medical procedure;
A document analysis method comprising:
The information contained in the document further includes medical fee points,
The method further includes, based on a medical fee score master that records a medical fee score assigned to the medical fee points for the name of the injury or illness, the score and injury or illness name adding unit adding the medical fee score to the name of the injury or illness added for each medical treatment described in the document,
The method further includes a disease name identification unit that identifies the most likely disease name of the patient of the document from the disease names added to the medical treatment described in the document based on the medical treatment score and the medical fee point score added to the medical treatment described in the document.
Document analysis methods. The document analysis method according to claim 46 , wherein the medical procedure score is determined for each application site of the medical procedure. The document analysis method described in claim 46, further comprising an injury/illness name analysis unit sorting the injury/illness names attached to the medical treatment described in the document based on the medical treatment score and the medical fee point score attached to the medical treatment described in the document .