JP5176341B2 - Examination waiting program, apparatus and method - Google Patents

Description

The present invention relates to a diagnosis waiting time prediction program, a recording medium, an apparatus, and a method for predicting a patient waiting time using an electronic medical record system installed in a hospital facility, and in particular, a patient inspection attached to the electronic medical record. The present invention relates to a diagnosis waiting time prediction program, a recording medium, an apparatus, and a method for predicting a diagnosis waiting time with high accuracy using information.

  Outpatients who go to hospitals are very concerned about their waiting time, and they make plans based on the waiting time. It is part of patient service to communicate this waiting time to a certain degree of accuracy.

  Conventionally, patients are informed of the approximate time from the waiting number based on the experience of hospital staff such as reception office staff and nurses. However, since it is within the scope of experience of hospital staff, there may be significant deviations.

As a method for more accurately predicting the waiting time for patients waiting for medical examination in such a hospital, when an inquiry from a patient is received, the patient's average examination time of other patients waiting before that patient A method for calculating and presenting the waiting time has also been proposed (Patent Document 1).
Japanese Patent Laid-Open No. 03-065764 Japanese Patent Laid-Open No. 11-120225

  However, in such a conventional method of predicting the waiting time for the examination, the average examination time is obtained from the past examination time of each patient, and the waiting time is calculated using this value. Even for a patient, the examination time may vary depending on the content of the examination, and there is a problem that the predicted waiting time deviates greatly from the actual waiting time.

  For example, when explaining the results of a medical examination, pathological examination, etc. to a patient in the contents of a medical examination, it often takes more time than a normal medical examination, and when a medical examination including an explanation of such a medical examination is performed The problem is that the consultation time for the patient is longer than the average consultation time, and as a result, the total waiting time for the patient waiting before the target patient is not matched. There is.

An object of the present invention is to provide a diagnosis waiting time prediction program, a recording medium, a method, and an apparatus that can predict a prediction waiting time more accurately in consideration of the contents of a diagnosis such as an explanation of test results.

(program)
The present invention provides a diagnosis waiting time prediction program. The diagnosis waiting time prediction program of the present invention uses a computer,
An average consultation time setting unit that sets the average consultation time of the patient who is currently being examined and the patient who is waiting for an examination before the inquiry patient when receiving an inquiry about the examination waiting time,
Determine whether unread examination information is attached to the medical record information of the patient who is currently being examined and the patient who is waiting for examination, and if the examination result is not attached, set a coefficient with a value of 1 and the examination result Is attached, a coefficient setting unit for setting a coefficient having a value exceeding 1 corresponding to the inspection information,
A predicted waiting time calculation unit that outputs, as a predicted waiting time, a sum of times obtained by multiplying the average examination time of the patient currently being examined and the patient waiting for the examination by each coefficient at the examination start time of the patient being examined,
It is made to function as.

  Here, the average examination time setting unit obtains the average examination time of the patient who is currently being examined and the patient who is waiting for the inquiry before the inquiry patient from the database storing the past examination time and the average examination time for each patient. Set.

  The coefficient setting unit acquires and sets a coefficient corresponding to the inspection information from a coefficient database in which a coefficient having a value exceeding 1 is registered for each predetermined character included in the inspection item name and the inspection information.

  The inspection item name includes specimen inspection, physiological inspection, radiological inspection, pathological inspection, and endoscopy, and the predetermined characters included in the inspection information include malignancy, suspicion, and reexamination.

  The coefficient setting unit calculates the coefficient from the ratio of the average examination time of patients who do not have examination information obtained in the past specified period and the average examination time of patients who have examination information. To update the coefficient database.

  The predicted waiting time calculation unit outputs a predicted diagnosis start time obtained by adding a predicted wait time to the diagnosis start time of the patient currently being examined.

(recoding media)
The present invention provides a recording medium storing a diagnosis waiting time prediction program. The computer-readable recording medium storing the examination waiting time prediction program of the present invention includes a computer,
When receiving an inquiry about the waiting time for an examination, an average examination time setting unit that obtains an average examination time of a patient who is currently being examined and a patient who is waiting for an examination before an inquiry patient,
Determine whether unread examination information is attached to the medical record information of the patient who is currently being examined and the patient waiting for the examination, and if the examination information is not attached, obtain a coefficient having a value of 1 A coefficient setting unit for acquiring a coefficient having a value greater than 1 corresponding to the inspection information when the information is attached;
A predicted waiting time calculation unit that outputs the sum of times obtained by multiplying the average consultation time of the patient who is currently being examined and the patient who is waiting for the examination by each coefficient as a predicted waiting time;
To function as.

(apparatus)
The present invention provides a diagnosis waiting time prediction apparatus. The examination waiting time prediction apparatus of the present invention is
An average consultation time setting unit that obtains an average consultation time of a patient who is currently being examined and a patient who is waiting for a consultation in front of an inquiry patient when receiving an inquiry about a waiting time for a consultation;
Determine whether unread examination information is attached to the medical record information of the patient who is currently being examined and the patient waiting for the examination, and if the examination information is not attached, obtain a coefficient having a value of 1 When information is attached, a coefficient setting unit that acquires a coefficient having a value exceeding 1 corresponding to the inspection information;
A predicted waiting time calculation unit that outputs the sum of times obtained by multiplying the average consultation time of the patient currently being examined and the patient waiting for the examination by the respective coefficient as a predicted waiting time;
It is characterized by having.

(Method)
The present invention provides a diagnosis waiting time prediction method. The diagnosis waiting time prediction method of the present invention is applied to a computer,
A process of obtaining an average consultation time of a patient who is currently being examined and a patient who is waiting for a consultation before an inquiry patient when receiving an inquiry about a waiting time for a consultation;
Determine whether unread examination information is attached to the medical record information of the patient who is currently being examined and the patient waiting for the examination, and if the examination information is not attached, obtain a coefficient having a value of 1 If the information is incidental, processing for obtaining a coefficient having a value greater than 1 corresponding to the inspection information;
A process of outputting the sum of times obtained by multiplying the average examination time of the patient currently being examined and the patient waiting for the examination by the respective coefficient as a predicted waiting time;
Is executed.

  According to the present invention, in addition to the average examination time obtained from the past examination time of each individual patient, it is checked whether examination information (examination report) is attached to the electronic medical record for examination, and examination information is attached. Since it is predicted that the examination results will be explained at the time of examination, a value higher than 1 corresponding to the characters such as “malignant” and “suspect” described in the examination items and examination results It is possible to improve the accuracy of the examination waiting time by multiplying the coefficient with the average examination time of the patient and correcting it to predict the examination time reflecting the actual examination content.

In addition, the prediction accuracy of examination waiting time increases, the reputation of the hospital that the waiting time for examination can be accurately grasped increases, and it is effectively used as a choice when the patient decides the hospital, and the hospital is decided smoothly I can expect that.

  FIG. 1 is a block diagram showing an electronic medical record system including an embodiment of a diagnosis waiting time prediction apparatus according to the present invention.

  In FIG. 1, an electronic medical record system to which the present embodiment is applied connects a server 10 for performing medical assistance to a network 11 such as a LAN, and a client 14 installed in a medical examination room or a medical examination reception is connected to the network 11. It is connected.

  A card reader 15 for reading a medical card held by the patient is connected to the client 14. Further, a clinical test server 12 is connected to the network 11 as a subsystem, and a clinical test database 13 is provided in the clinical test server 12.

  The server 10 has functions of a communication unit 16 and an electronic medical record processing unit 18. The electronic medical record processing unit 18 is provided with the function of the examination waiting time prediction unit 22 according to the present embodiment.

  An electronic medical record database 20 is connected to the electronic medical record processing unit 18. In addition, a consultation time database 24, a coefficient database 26, and a coefficient calculation database 28 are connected to the diagnosis waiting time prediction unit 22 of the present embodiment.

  In the examination waiting time prediction unit 22, functions realized by executing the examination waiting time prediction program of this embodiment include an average examination time setting unit 30, a coefficient setting unit 32, a prediction waiting time calculation unit 34, and a coefficient update unit 36. Is provided.

The electronic medical record processing unit 18 provided in the server 10 supports a medical examination by a doctor.
(1) Patient selection function (2) Patient profile function (3) Order function (4) Nursing support function (5) Sentence creation printing function

  Here, the patient selection function performs support processing such as ID selection, name selection, received patient list management, reserved patient list management, and inpatient list management of a patient's examination card. The patient profile function manages the patient's address, name, date, occupation, preference, blood type, infection, medication history, insurance information, consultation history, medical history, etc. as basic information.

  The order function includes prescription order, injection order, treatment order, specimen test order, physiological function test order, pathology test order, endoscopy order, radiology test order, surgical reservation order, rehabilitation order, blood donation order, dialysis order, etc. Manage various orders.

  Nursing support manages nursing management, nursing records, work schedules, nursing diaries, nursing work, nursing plans, and the like. Further, the text creation / printing function processes creation / printing of out-of-hospital prescriptions, various instructions, medical records, and the like.

  For this reason, in the electronic medical record database 20, various kinds of information such as patient examination information, examination information, and history information are registered and managed by using data necessary for medical support by the electronic medical record processing unit 18, for example, patient ID as an index. .

  The electronic medical record processing unit 18 displays an electronic medical record processing screen on the client 14 when a login using a password by a doctor or a nurse is received from the client 14, displays a menu screen necessary for medical assistance, and selects a menu. Thus, the support screen for the corresponding patient selection, basic profile, order, etc. is developed, and the medical treatment by the doctor or nurse is supported by the client 14.

  The clinical examination server 12 provided as a subsystem for the server 10 performs necessary examinations in the clinical examination department based on the examination order for the server 10 by the client 14 and registers the examination results in the clinical examination database 13.

  The clinical test data registered in the database by the clinical test server 12 is sent to the electronic medical record database 20 of the server 10 via the network 11 and attached as unread test data to the examination information of the corresponding patient.

  The average examination time setting unit 30 provided in the examination waiting time prediction unit 22 according to the present embodiment receives the inquiry of the examination waiting time specifying the patient ID from the client 14 side. Recognize the patient waiting for the previous examination from the reception patient list, refer to the examination time database 24, and obtain and set the average examination time of each of the patient currently being examined and the patient waiting for the previous examination of the inquiry patient .

  Whether the coefficient setting unit 32 refers to the electronic medical record database 20 and includes an unread test report (test information) sent from the clinical test server 12 to the medical chart information of the patient who is currently being examined and the patient who is waiting to be examined. If the inspection report is not attached, a coefficient K = 1 is set. If the inspection report is attached, a coefficient K having a value exceeding 1 corresponding to the inspection report is set as the coefficient database 26. Get from and set.

  The predicted waiting time calculation unit 34 multiplies the respective coefficient obtained by the coefficient setting unit 32 to the average consultation time of the patient who is currently being examined and the patient waiting to be consulted before the inquiry patient set by the average consultation time setting unit 30. The sum of the calculated times is calculated as a predicted waiting time, and this predicted waiting time is added to the diagnosis start time of the patient currently being examined to obtain and output the predicted diagnosis start time.

  The predicted waiting time calculation unit 34 may output the predicted waiting time as a calculation result without calculating the predicted diagnosis start time.

  The coefficient updating unit 36 targets the patient history obtained in a past fixed period, for example, the past month, the average time of the examination time of the patient who is not attached to the examination report, and the examination of the patient who is attached to the examination report. The coefficient K is calculated from the ratio of the average time to the time, and the coefficient calculation database 28 is updated.

  FIG. 2 is a block diagram showing a hardware environment of a computer in which the diagnosis waiting time prediction program of this embodiment is executed, and is a hardware environment of the server 10 of FIG.

  2, the computer that implements the server 10 has a CPU 38, a device interface 48 for connecting RAM 42, ROM 44, hard disk drive 46, keyboard 50, mouse 52, and input / output devices such as a display 54 to the bus 40 of the CPU 38, and a network. 11 is connected to the network adapter 56.

  The hard disk drive 46 is preinstalled with the diagnosis waiting time prediction program of this embodiment.

  When the computer is started, the OS is read from the hard disk drive 46 to the RAM 42 by the boot process by executing the boot code of the ROM 44 by executing the BIOS, and executed by the CPU 38. Along with the execution of the OS, the examination waiting time prediction program of the present embodiment is read from the hard disk drive 46 to the RAM 42 and is executed by the CPU 38.

  FIG. 3 is an explanatory diagram showing the contents of the examination time database 24 of FIG. In FIG. 3, the examination time database 24 registers the examination time for each number of examinations as history information for each patient using the patient name as an index, and registers the average examination time obtained from the examination time for each number of examinations. Yes.

  For example, in the patient name “A”, since the examination times from the first to the fourth are registered, 19 minutes is registered as the average examination time by calculating the average value of these four examination times. doing. The patient name in the examination time database 24 specifically uses a patient ID.

  When the average examination time setting unit 30 in FIG. 1 receives the inquiry about the waiting time for the examination, such a consultation time database 24 is identified as the patient currently being examined and the patient waiting for the examination before the inquiry patient. The average examination time corresponding to the patient name is acquired from the examination time database 24 and set.

  FIG. 4 is an explanatory diagram showing the contents of the coefficient database 26 of FIG. In FIG. 4, the coefficient database 26 registers inspection items and coefficients. In the present embodiment, specimen examination, physiological examination, radiological examination, pathological examination, and endoscopic examination are registered as examination items.

  If an examination report with such examination items is attached to the electronic medical record information in an unread state, the examination results of the examination report will be explained to the patient during the examination. In comparison, it is predicted that the examination time will be increased by the amount that explains the test result by the test report.

  Therefore, in the present embodiment, a coefficient having a value exceeding 1 is used to prolong the average examination time obtained from the examination time database 24 of FIG. 3 by the time required for the explanation of the examination report according to the type of examination item. Registered.

  Furthermore, it is determined whether or not there are predetermined characters described in the test result, for example, “suspicious”, “malignant”, etc. as the inspection items, and “suspected” or “malignant” characters are included in these test results. In such a case, since a sufficient amount of time is required for the explanation for the patient, the higher coefficient is registered.

  Of course, the inspection items in the coefficient database 26 are examples, and other appropriate inspection items can be registered. For the characters included in the test results, in addition to “suspect” and “malignant”, register appropriate characters that are expected to extend the examination time such as “re-examination” and “careful”, and calculate the coefficient. Can be set.

  FIG. 5 is an explanatory diagram showing the contents of the coefficient calculation database 28 of FIG. The coefficient values registered in the coefficient database 26 shown in FIG. 4 are calculated by calculating the ratio between the examination time without examination results and the examination time with examination results.

  For this coefficient calculation, the coefficient calculation database 28 of FIG. 5 is used. The coefficient calculation database 28 is an example of a database for calculating the coefficient of “specimen test” among the test items in the coefficient database 26 of FIG.

  That is, the examination time data without specimen examination is registered in the database as history data for one month from the examination history, and for example, 16.75 minutes is calculated as the average time. At the same time, examination time data with sample examination is registered, and the average time is calculated as 19.50 minutes.

If the average time without the sample test and the average time with the sample test can be calculated in this way, the coefficient K in the sample test is set to K = (average time with the sample test) / (average without the sample test) as the ratio of both. time)
= 19.50 / 16.75 = 1.2 (rounded to the second decimal place)
Asking.

  The calculation based on the coefficient calculation database 28 of such coefficients is performed by calculating and updating other suspicious items, “malignant”, etc., which are predetermined characters included in other test items and test results in the same manner. Yes. In an initial stage where the examination time of the coefficient calculation database 28 shown in FIG. 5 is not obtained, predetermined initial values are registered for the coefficients in the coefficient database 26 of FIG.

  FIG. 6 is an explanatory view showing an electronic medical record screen in the present embodiment. When the client 14 in FIG. 1 logs in to the electronic medical record processing unit 18 of the server 10 using a password, an electronic medical record screen 60 as shown in FIG. 6A, for example, is displayed.

  The electronic medical record screen 60 includes a patient information display unit 62, a doctor information display unit 64, a medical record display unit 66, a medical record history display unit 68, and a tool activation unit 70.

  The patient information display unit 62 displays basic information indicating the patient profile of the patient ID, name, and address. The doctor information display unit 64 displays the ID and name of the doctor in charge. The chart display unit 66 displays a patient's past chart.

  For example, when a prescription order activation button 72 provided in the tool activation unit 70 is pressed, a prescription order screen 74 is displayed on the medical chart display unit 66 as shown in FIG. When the user enters the prescription order and presses the confirm button, the prescription order content 76 is automatically inserted and arranged in the chart display section 66 as shown in FIG.

  The medical record history display unit 68 can search and select a patient's medical record history and display the search and selection results on the medical chart display unit 66.

  The tool activation unit 70 is provided with activation buttons for activating various orders. The order activation button includes a prescription order, an injection order, a treatment order, an inspection order, and the like.

  For example, by operating the inspection order activation button 78, the inspection order opens the inspection order screen in the same manner as the prescription order screen 74 in the case of the prescription order activation button 72, and fills the inspection order on this inspection order screen and confirms it. By pressing, an examination order is transmitted to the clinical examination server 12 shown in the network 11 of FIG. 1, and necessary examinations in the examination department based on the examination order, such as specimen examination, physiological examination, radiological examination, pathological examination, Endoscopic examination is performed, and the examination result is transferred to the server 10 as an examination report, attached to the electronic chart information of the patient who has ordered the electronic medical record database 20, and the examination report is sent to the electronic chart at the next examination. Search results can be developed on the screen 60 and the test results can be explained to the patient.

  FIG. 7 is a flowchart showing the examination waiting time and prediction processing according to the present invention, and it will be described as follows with reference to FIG.

  In FIG. 7, first, in step S1, it is determined whether or not there is an inquiry input of a waiting time for examination from the client 14 side. The inquiry about the examination waiting time is made from the client 14 arranged at the examination reception.

  When a patient who wants to know the waiting time for a diagnosis is inquired to the person in charge of the examination, the person in charge reads the examination card of the inquired patient with the card reader 15 and sends an inquiry request for the examination waiting time to the server 10. To do.

  If it is determined in step S1 that the inquiry request for the waiting time for examination from the client 14 side is input, the process proceeds to step S2, and the examination start time Ts of the patient currently being examined in the consultation department inquired is obtained from the examination time database 24, for example. After the reading, in step S3, the average examination time of the patient i waiting for the examination in front of the inquired patient is obtained from the examination time database 24 and set as the waiting time Ti.

  For example, if the patient D inquires about the waiting time for the examination in the examination time database 24 of FIG. 3, the patient currently being examined is A, and there are two patients B and C waiting for the examination before D. become. For this reason, in step S2, for example, Ts = 10: 30 is read as the examination start time Ts of the patient A who is currently being examined, and then in front of the patient D who inquired about the examination time in step S3. The number of the human patient is set to i = 1, 2, 3 with the counter i, the average consultation time 19 minutes of the patient A who is currently being examined with i = 1 is obtained from the examination time database 24, and the waiting time T1 = 19 minutes Set as.

  Subsequently, the process proceeds to step S4, and it is determined whether or not examination data (examination report) is attached to the electronic chart of the patient A with i = 1. If the inspection data is attached, the process proceeds to step S5, the coefficient database 26 in FIG. 4 is referred to, and the coefficient K1 corresponding to the inspection item is acquired and set.

  In this case, in addition to the inspection item, whether or not there is a character such as “suspect” or “malignant” in the inspection result character described in the inspection report, and the character extracted by the morphological analysis of the inspection report document When the determination is made by matching and a “suspect” or “malignant” character is matched, a coefficient corresponding to the matched character is obtained and set instead of the coefficient of the inspection item.

  On the other hand, if no inspection data is attached to the electronic medical record in step S4, the coefficient K1 is set to K1 = 1 in step S6.

  Subsequently, in step S7, it is checked whether or not all previous patients have been processed. At first, since the processing of the patient A currently being examined has been completed, the process returns to step S2 and the same processing is performed for the next patient B. Repeatedly, the waiting time T2 = 17 minutes and the coefficient K2 are obtained.

  Similarly, an average examination time T3 = 23 and a coefficient K are obtained for the next patient C. In this case, if there is no examination data for patients B and C, coefficients K2 = 1 and K3 = 1 are set in step S6.

When the process is completed for all the previous patients in step S7, the process proceeds to step S8 to calculate a predicted diagnosis start time Tp. The calculation of the predicted diagnosis start time Tp is performed by the following equation.

For example, the patient D in the consultation time database 24 in FIG. 3 makes an inquiry about the waiting time, and the average consultation time T1 = 19 minutes, K = 1.2, patient B for the patient A currently being examined by the processing up to step S7. Assuming that waiting time T2 = 17 minutes, coefficient K2 = 1, waiting time T3 = 23 minutes for patient C, coefficient K = 1, and patient A's examination start time is 10:30, examination starts The predicted time Tp is Tp = 10: 30 + {(1.2 × 19) + (1 × 17) + (1 × 23)}
= 10: 30 + 62.8 = 11: 32 can be calculated.

  The predicted examination start time Tp calculated in this way is displayed on the display of the client 14 operated by the person in charge of the examination reception, for example. As a result, the person in charge of the medical examination can return the predicted medical examination start time to the patient.

  Here, in step S8, the diagnosis start predicted time Tp is calculated, but the waiting time tp from the diagnosis start time of the patient currently being examined may be calculated by the following equation.

  When it is desired to calculate the examination waiting time tp, it is desirable to obtain and notify the examination waiting time as viewed from the present time obtained by subtracting the elapsed time from the diagnosis starting time of the patient who is currently being examined from the predicted waiting time tp.

  Next, when it is determined in step S9 that a predetermined coefficient update period, for example, once a day, has been reached, the process proceeds to step S10, for example the past month registered in the coefficient calculation database 28 shown in FIG. 4 is calculated from the ratio of the average examination time obtained for each of the examination time without examination results and the examination time with examination results based on the history data of The coefficient database 26 is updated.

  As a result, the coefficient Ki used for the prediction calculation of the examination waiting time reflects an optimum value based on the history data of the latest examination time, and the examination waiting time can be predicted and calculated with higher accuracy. Such processes of steps S1 to S11 are repeated until a stop instruction is issued in the server 10.

  The present invention provides a diagnosis waiting time prediction program executed in the hardware environment of the computer of FIG. 2 constituting the server 10 of FIG. This examination waiting time prediction program has the contents shown in the flowchart of FIG.

  The present invention also provides a recording medium storing a diagnosis waiting time prediction program having the contents of the flowchart of FIG. Here, the recording medium is a portable storage medium such as a CD-ROM, floppy disk (R), DVD disk, magneto-optical disk, IC card, or other storage device such as a hard disk drive provided inside or outside the computer system. In addition, a database or other computer system that holds a program via a line and the database, and further a transmission medium on the line are included.

  In the above embodiment, when the examination report attached to the electronic medical record of the patient waiting for the examination who is in front of the patient who has made the inquiry about the examination waiting time is attached, the coefficient shown in FIG. The coefficient K for correcting the average examination time is read from the database 26 and set, but even if an examination report is attached to the electronic medical record, the examination report is not necessarily opened and explained at the examination. Therefore, for the patient who is currently being examined, the examination is performed with reference to the coefficient database 26 only when the doctor searches for the examination report on the electronic medical record screen 60 shown in FIG. A coefficient corresponding to a predetermined character included in the item or search result may be acquired and set. By doing in this way, the error of the prediction time when it is not attached at the time of a medical examination can be eliminated even if an inspection report is attached.

  Further, in the above embodiment, the waiting time for waiting for examination corrected by the coefficient according to the examination item is output, but the waiting time for the estimated waiting time for the total of the average waiting time not corrected by the coefficient is set as the minimum waiting time. The examination waiting time corrected by the coefficient may be set as the maximum waiting time, and the examination waiting time may be calculated and output as a time range from the minimum waiting time to the maximum waiting time.

  In addition, with respect to the examination waiting time corrected by the coefficient according to the examination item, an error between the predicted examination waiting time obtained from the past history and the actual examination waiting time may be obtained, and the estimated examination time may be corrected by this error. . The correction due to the error between the predicted waiting time and the actual waiting time may be performed for each patient, or a value obtained statistically for all patients may be used.

The present invention includes appropriate modifications that do not impair the object and advantages thereof, and is not limited by the numerical values shown in the above embodiments.

The block diagram which showed the electronic medical chart system provided with embodiment of the examination waiting time prediction apparatus by this invention The block diagram which showed the hardware environment of the computer with which the examination waiting time prediction program of this invention is performed Explanatory drawing which showed the contents of the examination time database of FIG. Explanatory diagram showing the contents of the coefficient database of FIG. Explanatory drawing showing the contents of the coefficient calculation database of FIG. Explanatory drawing which showed the electronic medical record screen in this embodiment The flowchart which showed the examination waiting time prediction process by this invention

Explanation of symbols

10: server 11: network 12: clinical test server 13: clinical test database 14: client 15: card reader 16: communication unit 18: electronic medical record processing unit 20: electronic medical record database 22: medical examination waiting time prediction unit 24: medical examination time database 26: Coefficient database 28: Coefficient calculation database 30: Average consultation time setting unit 32: Coefficient setting unit 34: Predictive waiting time calculation unit 36: Coefficient update unit 38: CPU
42: RAM
44: ROM
46: Hard disk drive 48: Device interface 50: Keyboard 52: Mouse 54: Display 56: Network adapter 60: Electronic medical record screen 62: Patient information display unit 64: Doctor information display unit 66: Medical record display unit 68: Medical record history display unit 70 : Tool activation unit 72: Prescription order activation button 74: Prescription order screen 76: Prescription order content 78: Inspection order activation button

Claims (6)

Computer
When a consultation waiting time is received, the patient name is used as an index and the examination time database storing the examination time and the average examination time for each visit of the patient is used as the previous examination for the patient who is currently being examined and the inquiry patient. Average consultation time setting unit to obtain the average consultation time of waiting patients,
When said test information unread is attached to the patient and medical record information of the patient of the examination waiting currently examination in the from the coefficient database engaging speed that corresponds to the test item name of the inspection information is registered A coefficient setting unit that acquires and sets the coefficient corresponding to the inspection information ,
The coefficient read from the coefficient setting unit corresponding to the examination item name described in the medical record information of the patient who is currently being examined and the patient who is awaiting examination is the average examination time for each patient who is currently being examined and who is awaiting the examination. A diagnostic waiting time prediction program that functions as a predicted waiting time calculation unit that outputs a total sum of times multiplied as predicted waiting times.
The coefficient setting unit has a value exceeding 1 corresponding to the examination item of the examination information when unread examination information is attached to the medical chart information of the patient currently being examined and the patient waiting for the examination. The coefficient corresponding to the inspection information is acquired and set from a coefficient database in which a coefficient is registered, and a coefficient having a value of 1 is set when the inspection result is not attached. The diagnosis waiting time prediction program described.
When a consultation waiting time is received, the patient name is used as an index and the examination time database storing the examination time and the average examination time for each visit of the patient is used as the previous examination for the patient who is currently being examined and the inquiry patient. An average consultation time setting unit for obtaining an average consultation time of a waiting patient;
When said test information unread is attached to the patient and medical record information of the patient of the examination waiting currently examination in the from the coefficient database engaging speed that corresponds to the test item name of the inspection information is registered A coefficient setting unit that acquires and sets the coefficient corresponding to the inspection information ;
The coefficient read from the coefficient setting unit corresponding to the examination item name described in the medical record information of the patient who is currently being examined and the patient who is awaiting examination is the average examination time for each patient who is currently being examined and who is awaiting the examination. examination latency prediction apparatus is characterized in that a forecasted waiting time calculating unit for outputting as a prediction waiting the sum of time obtained by multiplying respectively.
The coefficient setting unit has a value exceeding 1 corresponding to the examination item of the examination information when unread examination information is attached to the medical chart information of the patient currently being examined and the patient waiting for the examination. 4. The coefficient corresponding to the inspection information is obtained and set from a coefficient database in which coefficients are registered, and a coefficient having a value of 1 is set when the inspection result is not attached. The examination waiting time prediction apparatus of description.
It is an operation method of a diagnosis waiting time prediction device including an average diagnosis time setting unit, a coefficient setting unit, and a prediction waiting time calculation unit, and when the average diagnosis time setting unit receives an inquiry about a diagnosis waiting time, A step of setting an average consultation time of a patient who is currently being examined and a patient who is waiting for a consultation in front of an inquiry patient from a consultation time database storing a consultation time and an average consultation time for each visit of the patient with the patient name as an index ,
The coefficient setting unit, the unread examination information of the patient and medical record information of the patient of the examination waiting currently examination in it is determined whether it is attached, if the test information is attached, the examination information step of setting to obtain the coefficients corresponding to the inspection item,
The coefficient set by the coefficient setting unit corresponding to the examination items described in the medical record information of the patient who is currently being examined and the patient who is awaiting examination is multiplied by the average examination time of the patient who is currently awaiting the examination and the patient who is awaiting the examination, respectively. A step of outputting the total time as a predicted waiting time ;
The operation method of the examination waiting time prediction apparatus for executing
The coefficient setting unit has a value exceeding 1 corresponding to the examination item of the examination information when unread examination information is attached to the medical chart information of the patient currently being examined and the patient waiting for the examination. 6. The coefficient corresponding to the inspection information is acquired and set from a coefficient database in which a coefficient is registered, and a coefficient having a value of 1 is set when the inspection result is not attached. The operation method of the examination waiting time prediction apparatus of description.

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