JP5581659B2 - Program and information processing apparatus - Google Patents

Description

  The present invention relates to a program and an information processing apparatus.

  A technique for analyzing a process constituted by performing one or more actions, such as a medical treatment process in medicine, has been proposed. For example, in the system described in Patent Document 1, a medical process is managed by generating a matrix using a time when a medical practice is performed, a medical item, and the amount of the medical practice. In this matrix, one of the time when the medical practice is performed and the medical treatment item are used as a row, the other is used as a column, and the amount of the medical practice is used as an element of the matrix. The system described in Patent Document 1 classifies processes performed and extracts similar processes based on distances between a plurality of matrix elements respectively corresponding to a plurality of medical processes.

JP 2003-85194 A

  In a technique for analyzing a process using information that records an action actually performed in the process, an analysis focusing on the fact that a certain action is not performed is not performed. However, it may be desirable to analyze a process considering whether an action that can be performed in a process has actually been performed.

  An object of the present invention is to provide a program and an information processing apparatus that enable analysis of a process considering that an action is “not performed”.

The invention according to claim 1 is the first history information of the specified process from the first storage means storing the first history information associating the executed process and one or more actions performed in the process. And when there is an absent action that is an action not included in the first history information acquired by the acquisition step, among the actions included in the reference information representing the action that can be performed in the specified process. And outputting the absence act information indicating that the absence act is not performed in the process, and the output step is a constraint condition when performing the act included in the reference information. Based on this, it is determined whether to output the absence action information .

The invention according to claim 2 is the first history information of the specified process from the first storage means storing the first history information associating the executed process and one or more actions performed in the process. An absence step that is an act that is not included in the first history information acquired by the acquisition step among the actions included in the reference information that represents an action that can be performed in the specified process. A second step including a generation step of generating absent action information indicating that the action is not performed in the process; first history information acquired by the acquisition step; and absent action information generated by the generation step. Outputting the history information to the second storage means, causing the computer to execute the action included in the reference information, It is an action set in advance as an action that can be performed in the recording process, and is acquired from a third storage means that stores each of the preset actions in association with the constraint conditions for performing the action, Determining whether or not to generate the absence action information for the absence action according to a rule determined based on the constraint condition stored in the third storage unit in association with the absence action in the generation step; It is a featured program.

The invention according to claim 3 is the invention according to claim 1, in which the first history information and the action included in the first history information and the action included in the reference information are different from each other by the identification information. The process of the output step described in the reference information is performed by referring to information representing a correspondence relationship between the action identification information included in the first history information and the action identification information included in the reference information. Executed.

The invention according to claim 4 is the invention according to claim 1 or 2 , wherein the action included in the reference information is a plurality of the first selected from the first history information stored in the first storage means. It is an action commonly included in history information.

The invention according to claim 5 is the invention according to any one of claims 1 to 4 , wherein each of the first history information includes a medical treatment process performed on a single patient in medical treatment and the medical treatment concerned. One or more medical practices performed on the patient in the process, and the reference information represents a medical practice that can be performed on the patient of the first history information acquired by the acquisition step.

The invention according to claim 6 is the first history information of the designated process from the first storage means storing the first history information associating the executed process and one or more actions performed in the process. And when there is an action that is not included in the first history information acquired by the acquisition means, among the actions included in the reference information representing the action that can be performed in the specified process, the absence action Output means for outputting absence action information indicating that the action is not performed in the process, and the output means is configured to output the absence action information based on a restriction condition when performing an action included in the reference information. It is an information processing apparatus characterized by determining whether or not to output .

According to the invention according to claim 1 or 6 , it is possible to analyze a process considering that an action is “not performed”.

According to the invention of claim 2 , among the actions that are preset as actions that can be performed in the process and that are not performed in the process to be processed, in the rule based on the constraint condition at the time of execution of the action Absent action information can be generated and recorded only for actions that are determined to generate absent action information.

According to the invention of claim 3 , even if the action included in the history of the executed process and the action included in the reference process are described in different types of identification information, Absent action information indicating that an action is not being performed can be generated and recorded.

According to the invention of claim 4 , it is possible to generate and record absent action information indicating that an action commonly included in a plurality of process histories is not performed in a process to be processed.

According to the fifth aspect of the present invention, it is possible to generate and record absent action information indicating that a certain medical practice is not performed in a medical care process.

It is a block diagram which shows the example of schematic structure of information processing apparatus. It is a figure which shows the example of the data content of process information DB. It is a figure which shows the example of the data content of standard process information DB. It is a figure which shows the example of the data content of absent element provision rule DB. It is a figure which shows typically the example of the process information used as the process target of an absent element addition process part. It is a figure which shows typically the example of process information with an absent element. It is a figure which shows the example of the data content of process information DB with absent element. It is a flowchart which shows the example of the procedure of the process performed with information processing apparatus. It is a figure which shows the example of the result of having extracted the common pattern from the process information with an absent element. It is a figure which shows the example of the result of having extracted the common pattern from process information. It is a figure which shows the example of the table | surface which matches the general name of a chemical | medical agent, and a brand name. It is a figure which shows the other example of the data content of standard process information DB. It is a figure which shows the other example of the data content of absent element provision rule DB. It is a block diagram which shows the other example of schematic structure of information processing apparatus. It is a flowchart which shows the example of the procedure of the process which an absent element candidate list production | generation part performs. It is a figure which shows the other example of process information. It is a figure which shows the other example of process information with an absent element. It is a figure which shows the further another example of process information. It is a figure which shows the further another example of process information with an absent element. It is a figure which shows the example of the hardware constitutions of a computer.

  In FIG. 1, the example of schematic structure of the information processing apparatus by the example of embodiment of this invention is shown. The information processing apparatus 10 in the example of FIG. 1 includes a process information DB (database) 100, a standard process information DB 102, an absent element assignment rule generator 104, an absent element assignment rule DB 106, an absent element addition processor 108, and an absent element attached process information. An output unit 110, an absent element-attached process information DB 112, an input receiving unit 114, and a display unit 116 are provided.

  The process information DB 100 is a storage unit that stores process information representing a history of executed processes. The process information stored in the process information DB 100 is subject to processing by the absent element addition processing unit 108 described later. Here, the process means a set of actions performed in business or the like. Below, the example of this embodiment is demonstrated taking the medical treatment process in medicine as an example. In the example of the present embodiment, a process information management device (not shown) receives input of information regarding a medical process by doctors, nurses, laboratory technicians, and other staff who work at a medical institution and registers them in the process information DB 100. Thus, the process information DB 100 is constructed.

  FIG. 2 is an example of the data contents of the process information DB 100. In the process information DB 100, for example, information as shown in the tables of FIGS. 2A and 2B is stored.

  FIG. 2A is an example of process information that is information on the history of the implemented medical care process. In the table of FIG. 2A, the medical process name and the medical practice element name are associated with each other. The medical process name is identification information of the medical process. In the example of the present embodiment, the identification information of the patient who has undergone the medical process is used as the medical process name. The medical practice element name represents the name of the element of the medical practice performed in the medical process of the corresponding medical process name. The medical practice element name may be, for example, the name of the type of medical practice such as “medicine” or “examination”. Alternatively, it may be a name representing the details of the medical practice more than this example, that is, the name of the administered drug or the name of the examination. In the following description, the name of the medicine administered to the patient is referred to as a medical practice element name.

  In the example of this embodiment, a plurality of medical treatment processes respectively corresponding to a plurality of patients are classified according to the type of treatment performed on the patients. FIG. 2B is an example of information indicating the classification of a plurality of medical care processes. The table of FIG. 2B represents the name of the treatment (in this example, the name of the operation) performed on the patient of the medical process in association with each medical process name. Referring to FIG. 2 (b), for the patients with the medical process name “Process1” to “Process4”, an operation with the treatment name “laparoscopic cholecystectomy” is performed. It is indicated that the operation with the treatment name “Process 5” is performed on the patient with the name “Process5”, and the operation with the treatment name “heart bypass” is performed on the patient with the treatment process name “Process 6”.

  FIG. 2 conceptually shows an example of data contents stored in the process information DB 100, and a specific data structure in the process information DB 100 is not limited to the example in FIG. For example, in the process information DB 100, the information shown in the tables of FIGS. 2A and 2B may be stored together in one table.

  Referring to FIG. 1 again, the standard process information DB 102 is storage means for storing standard process information representing a process preset as a standard process. The standard process information includes information on actions set in advance as actions that can be performed in a standard process. Further, the standard process information may include a constraint condition when performing each preset action. In the example of the present embodiment, the standard process information DB 102 includes, for each treatment performed on a patient, a medical practice element name of a medical practice that is set in advance as a medical practice that can be performed in the medical treatment process of the treatment. Remember as. The standard process information is generated based on, for example, a clinical path that is a standard medical process defined for each type of injury or treatment. The clinical path is expressed, for example, in the form of a schedule of medical treatment between hospitalization and discharge of a patient who receives a specific operation. In the example of this embodiment in which the name of a drug to be administered is used as a medical practice element name, information on medication in the clinical path of the corresponding treatment (surgery) is extracted, and the drug name included in the extracted information is the standard process of the treatment Information is stored in the standard process information DB 102 as information.

  FIG. 3 shows an example of the data contents of the standard process information DB 102. The table in the example of FIG. 3 represents, for each treatment name, the medical treatment element name that can be included in the medical treatment process of the treatment, and the constraint condition when performing the medical treatment of each medical treatment element name. In the example of FIG. 3, it is shown that the medical treatment element with the medical treatment element name “Element_a”, “Element_b”, “Element_c”, and “Element_d” may be included in the medical treatment process with the treatment name “Rapacolle”. Further, the corresponding constraint condition of the medical practice element name “Element_a” is “essential”. This means that “Element_a” must be included in the medical process. The constraint condition corresponding to each of the medical practice element names “Element_b” and “Element_d” is “arbitrary”. This means that “Element_b” and “Element_d” may or may not be included in the medical process. Further, the constraint condition corresponding to the medical practice element name “Element_c” is “required only when there is Element_d”. This means that if “Element_d” is included in the medical process, “Element_c” must be included. If “Element_d” is not included, “Element_c” may or may not be included. Means good.

  Returning to the description of FIG. 1, the absent element assignment rule generation unit 104 refers to the data content of the standard process information DB 102 and generates an absent element assignment rule. Here, the absent element provision rule is that, among the medical practice elements included in the standard process information in the standard process information DB 102, the medical practice elements that are not included in the process information in the process information DB 100 are absent. Is a rule for deciding whether or not to add an absent element, which is information indicating that the process information, to the process information. The absent element assignment rule generation unit 104 acquires standard process information of a certain treatment name from the standard process information DB 102, and each of the medical practice elements included in the acquired standard process information is associated with the medical practice element. Absent element assignment rules are generated based on the conditions. As an example, FIG. 4 shows an absent element assignment rule generated using the standard process information of the treatment name “rapacolle” in the table of the example of FIG.

  With reference to FIG. 3 and FIG. 4, for the medical practice element “Element_a” whose constraint condition is “essential” in the standard process information, the absent element provision rule “add if not present” is generated. When the constraint condition is “essential”, the medical care process element must be included in the medical care process. Therefore, in this case, if the process information to be processed does not include the medical practice element, there is no rule indicating that the absence element indicating that the medical practice element is absent should be added to the process information. "Add" is generated. Also, for the medical practice elements “Element_b” and “Element_d” whose constraint condition is “arbitrary” in the standard process information, the absent element provision rule “do nothing” is generated. When the restriction condition is “arbitrary”, the medical treatment element may or may not be included in the medical treatment process. Therefore, in this case, even if the process information to be processed does not include the medical practice element, a rule “do nothing” is generated indicating that an absent element is not added to the process information for the medical practice element. . In addition, for the medical treatment element “Element_c” whose restriction condition is “required only when there is Element_d” in the standard process information, search for Element_c if there is an absent element assignment rule “Element_d. If there is no Element_c as a result of the search. "Add" is generated. The restriction condition is “required only when there is Element_d” means that the medical treatment element “Element_c” must be included in the process information only when “Element_d” is included in the process information to be processed. I must. Therefore, for “Element_c”, when “Element_d” is included in the process information to be processed and “Element_c” is not included, an absent element indicating that “Element_c” is absent is indicated as the process information. A rule representing the addition to is generated.

  It should be noted that what absent element assignment rule is generated for what constraint condition may be determined in advance by an administrator or a user and stored in a storage unit (not shown) of the information processing apparatus 10. The absent element provision rule generation unit 104 generates an absent element provision rule corresponding to the constraint condition in accordance with the information stored in the storage unit.

  Referring again to FIG. 1, the absent element assignment rule generation unit 104 registers the generated absent element assignment rule in the absent element assignment rule DB 106. For example, information of the table in the example of FIG. 4 is stored in the absent element provision rule DB 106.

  The absent element addition processing unit 108 processes the process information in the process information DB 100 and refers to the absent element assignment rule DB 106 to generate absent element-added process information that is information obtained by adding an absent element to the process information. I do. The absent element addition processing unit 108 acquires an absent element assignment rule corresponding to the process information to be processed from the absent element assignment rule DB 106, and in accordance with the acquired absent element assignment rule, a specific medical practice element in the process information to be processed An absent element which is information indicating that is absent is generated. Then, in addition to the process information to be processed, process information with absent element including the created absent element is generated.

  As an example of processing in the absent element addition processing unit 108, consider a case in which medical treatment processes “Process1” to “Process4” associated with the treatment name “rapacolle” in the process information illustrated in FIG. (A) Refer to the broken line frame in FIG. 2 (b). FIG. 5 is a diagram schematically illustrating the medical practice elements associated with the medical processes “Process1” to “Process4” illustrated in FIG. 2 in the form of a tree (tree structure). The absent element addition processing unit 108 generates and adds an absent element to each of the medical processes “Process1” to “Process4” according to the absent element assignment rule of the treatment name “Rapacolle” illustrated in FIG. Generate process information. FIG. 6 schematically shows an example of process information with an absent element generated as a result of the process of the absent element addition processing unit 108. Referring to FIGS. 4 to 6, medical treatment processes “Process2”, “Process3”, and “Process4” that do not include the medical treatment element “Element_a” (FIG. 4) in which “add if not present” is set as the absent element assignment rule. An absent element “Element_-a”, which is information indicating that the medical practice element is absent, is added to FIG. 5 (FIG. 6). Regarding the medical practice elements “Element_b” and “Element_d” (FIG. 4) that are set to “do nothing” in the absent element assignment rule, they correspond to these medical practice elements even if they are not included in the medical care process. Absent elements are not generated and added (FIG. 6). For “Element_c”, if there is an absent element assignment rule “Element_d” shown in FIG. 4, search for Element_c. If the result of the search is that there is no Element_c, the medical process corresponding to “Process1” to “Process4” Since it does not exist (FIG. 5), the absent element corresponding to “Element_c” is not generated and added (FIG. 6).

  Returning to the description of FIG. 1, the absent element addition processing unit 108 passes the generated absent element-added process information to the absent element-added process information output unit 110.

  The absent element-attached process information output unit 110 outputs and registers the absent element-added process information received from the absent element addition processing unit 108 to the absent element-added process information DB 112. FIG. 7 is an example of data contents registered in the absent element-attached process information DB 112 when the absent element-attached process information illustrated in FIG. 6 is received. In the table of FIG. 7, the medical process name and the medical practice element name (including the absent element) are associated with each other. The absent element-attached process information output unit 110 may output the received absent element-added process information to the display unit 116.

  The input receiving unit 114 receives an input such as an instruction from the user of the information processing apparatus 10. In the example of the present embodiment, the input reception unit 114 receives an instruction (for example, an instruction for a treatment name) that specifies process information to be processed by the absent element addition processing unit 108, and the absent element assignment rule generation unit 104 and The absence element addition processing unit 108 is notified. The input receiving unit 114 may be realized by an input device such as a keyboard, a mouse, or a touch panel.

  The display unit 116 displays a result of processing in the information processing apparatus 10. In the example of the present embodiment, the display unit 116 displays the process information with an absent element output from the process information output unit 110 with an absent element. At this time, the display unit 116 may graphically display the absent element-attached process information as in the example of the tree structure of FIG. 6 or may display the information in a table format as in the example of FIG. . The display unit 116 is realized by a display device such as a CRT (Cathode Ray Tube) or a liquid crystal display, for example.

  Hereinafter, an example of a procedure of processing performed by the information processing apparatus 10 will be described with reference to FIG. The flowchart in the example of FIG. 8 is started, for example, when the input receiving unit 114 receives a user input instructing generation of process information with absent elements by specifying a specific treatment name.

  First, the absent element addition processing unit 108 that has acquired an instruction input by the user from the input receiving unit 114 acquires process information to be processed from the process information DB 100 (step S10). For example, if the process information DB 100 has the data contents of the example of FIG. 2 and an instruction is given to treat a medical process whose treatment name is “rapacollect”, the medical process associated with the treatment name “rapacolle” Process information of the names “Process1” to “Process4” is acquired (see the broken line frames in FIGS. 2A and 2B). That is, in this example, in step S10, the medical care process schematically illustrated in FIG. 5 is acquired.

  Next, the absent element provision rule generation unit 104 acquires standard process information corresponding to the process information to be processed (step S12). In the example of this embodiment, the absent element assignment rule generation unit 104 acquires a treatment name designated by the user from the input reception unit 114 and acquires standard process information of the treatment name from the standard process information DB 102. If the data of the example of FIG. 3 is stored in the standard process information DB 102 and the treatment name specified by the user is “rapacolle”, the medical practice element “corresponding to“ rapacolle ”in the table of the example of FIG. Element_a ”to“ Element_b ”and the constraint conditions corresponding to each medical practice element are acquired as standard process information.

  The absent element assignment rule generation unit 104 that has acquired the standard process information generates an absent element assignment rule according to the constraint condition included in the standard process information, and registers the generated absent element assignment rule in the absent element assignment rule DB 106 ( Step S14). When the standard process information of “LAPACOLLE” in the example of FIG. 3 is acquired, the absent element assignment rule generation unit 104 generates the absent element assignment rule illustrated in FIG. 4 for each medical practice element “Element_a” to “Element_d”. . Then, each medical practice element name is associated with the absent element provision rule generated for the relevant medical practice element, and is registered in the absent element provision rule DB 106 as an absent element provision rule for the treatment name “rapacolle” of the standard process information.

  When the generation and registration of the absent element assignment rule are completed, the absent element assignment rule generation unit 104 notifies the absence element addition processing unit 108 to that effect. Upon receiving this notification, the absent element addition processing unit 108 selects process information of one medical process name from the process information to be processed (step S16). In the case of the above example where the process information in the example of FIG. 5 is the processing target, one of the medical processes “Process1” to “Process4” is selected.

  For the process information selected in step S16, the absent element addition processing unit 108 refers to the absent element assignment rule DB 106 and performs a process of adding an absent element (step S18). Hereinafter, a specific example of the processing in step S18 will be described by taking the medical care processes “Process1” and “Process2” in FIG. 5 as an example.

  When the medical care process “Process1” in FIG. 5 is selected in step S16, in step S18, the absent element addition processing unit 108 from the absent element assignment rule DB 106, the absent element assignment rule of the treatment name “rapacolle” (see FIG. 4). And the absent element assignment rule for each medical practice element “Element_a” to “Element_d” is evaluated for the medical process “Process1”. The absent element assignment rule of “Element_a” is “add if not present”, and the medical process “Process1” includes “Element_a”. Therefore, the absent element addition processing unit 108 sets the absent element for the medical practice element “Element_a”. Do not add. For “Element_b” and “Element_d”, since the absent element assignment rule is “do nothing”, additional processing of the absent element is not performed regardless of the presence or absence of the medical treatment element in the medical process “Process1”. . With respect to “Element_c”, if there is an absent element assignment rule “Element_d, search for Element_c. If there is no Element_c as a result of the search, the absent element addition processing unit 108 determines whether“ Element_d ”exists in the medical process“ Process1 ”. Confirm. Since “Element_d” is not included in the medical process “Process1”, the search for “Element_c” and the addition of an absent element are not performed. As described above, regarding the medical process “Process1”, as a result of the processing in step S18, no absent element is added to any medical practice element.

  When the medical process “Process2” in FIG. 5 is selected in step S16, the absent element provision rules (FIG. 4) of “Element_a” to “Element_d” are evaluated for the medical process “Process2” in step S18. Since the medical process “Process2” does not include the medical action element “Element_a”, the absent element addition rule “Add if absent” of the “Element_a” is followed, and the absent element addition processing unit 108 indicates that “Element_a” is absent. An absent element “Element_-a” to be represented is generated and added to the medical process “Process2”. For “Element_b”, “Element_c”, and “Element_d”, the same processing as in the case of the above-described medical care process “Process1” is performed. As a result of the processing in step S18, the process information “Process2” with absent element illustrated in FIG. 6 is generated. The process information “Process2” with absent element in FIG. 6 indicates that “Element_a” is not included (“Element_-a”) and “Element_b” is included in the medical process “Process2”.

  In addition, instead of the above-described example in which the absent element assignment rule of each medical practice element is evaluated in order, it is included in the process information of the selected medical care process among the medical practice elements for which the absent element assignment rule is set. The process of step S18 may be performed by a procedure of identifying a medical practice element that has not been identified and evaluating an absent element provision rule for the identified medical practice element.

  When the absent element addition process (step S18) is completed, the absent element-added process information output unit 110 outputs and registers the absent element-added process information generated in step S18 to the absent element-added process information DB 112 (step S20). . In step S20, when the absence element is not added in step S18 as in the example of the medical process “Process1” described above, the process information of the original medical process “Process1” is directly registered in the process information DB 112 with absent element. To do. Further, the absent element-added process information output unit 110 may further output and display the absent element-added process information on the display unit 116 in step S20.

  If all the process information to be processed has been processed after step S20 (YES in step S22), the process of the procedure in the example of FIG. 8 ends. If all the process information to be processed has not been processed (NO in step S22), the process returns to step S16, selects one of the medical process names of the unprocessed process information, and repeats the processes in and after step S18. .

  As a result of the processing of the procedure in the example of FIG. 8, for each of the medical treatment processes to be processed, the name of the medical practice element actually performed and the name of the medical practice element that should have been performed but were not performed , Process information with missing elements is generated and registered in the process information DB 112 with absent elements. For the process information with absent element in the process information DB 112 with absent element, analysis by a method conventionally used in process analysis may be performed. For example, when the process information with absent elements is analyzed using a pattern mining technique for extracting patterns that frequently appear in the data set, patterns of common medical practice element names are extracted. FIG. 9 shows a pattern extracted as a result of processing the process information with an absent element illustrated in FIGS. 6 and 7 by using a tree mining technique for extracting a subtree (subtree) that frequently appears in a tree-structured data set. An example of (subtree) is shown. As a technique for tree mining, refer to documents such as “Efficiently mining frequent trees in a forest.”, M. Zaki, 8th ACM SIGKDD Int’l Conf Knowledge Discovery and Data Mining, July, 2002.

  Referring to FIG. 9, the inside of the broken line frame L is the same as the process information with absent element illustrated in FIG. 6. The process information with absent element in the frame L is a tree in which each of “Process1” to “Process4” representing a medical process name is a root node (root), and a medical action element name associated with each medical process is a child node. As a set of When pattern extraction is performed on this set of trees using a tree mining technique, for example, two trees X and Y having “FeatureX” and “FeatureY” as roots are extracted. The tree X is a tree generated by extracting a common node “Element_b” in the trees of the medical treatment processes “Process1” and “Process2”, and has the common node “Element_b” as a child node of the root. The tree Y is a tree generated by extracting the common nodes “Element_-a” and “Element_c” in the trees of the medical processes “Process3” and “Process4”, and the common nodes “Element_-a”, It has “Element_c” as a child node of the root.

  FIG. 10 shows an example of the result of pattern extraction using the tree mining technique for process information including only history information of actually performed medical practice elements. The inside of a frame M indicated by a broken line in FIG. 10 is the same as the medical care process illustrated in FIG. Since the process information in the frame M is process information before the processing by the absent element addition processing unit 108 is executed, the absent information is not included. Referring to FIG. 10, as a result of pattern extraction, tree X ′ in which common node “Element_b” is extracted in the tree of medical processes “Process1” and “Process2”, and common node in medical processes “Process3” and “Process4” A tree Y ′ from which “Element_c” has been extracted is generated.

  Comparing the results of pattern extraction in the examples of FIGS. 9 and 10, the tree X in FIG. 9 and the tree X ′ in FIG. 10 have the same configuration. Both the tree X and the tree X ′ represent that there is a medical process having a common feature of “including a medical practice element“ Element_b ”” in the medical process to be analyzed. Y differs from the tree Y ′ in FIG. 10 in that the former has an absent element “Element_-a” and the latter does not have this. From the tree Y in FIG. 9, it can be seen that “a medical practice element“ Element_c ”is included and a medical practice element“ Element_a ”is not included” as a characteristic common to a part of the medical process to be analyzed ”. On the other hand, the tree Y ′ in FIG. 10 only shows that “includes a medical practice element“ Element_c ”” as a common feature in at least a part of the medical process to be analyzed.

  Hereinafter, modifications of the example of the above-described embodiment will be described.

  In the processing procedure described above with reference to FIG. 8, after the absent element addition processing unit 108 acquires process information to be processed in response to a user instruction, generation / registration of an absent element assignment rule using standard process information is performed. Is performed (steps S12 and S14). In the process of one modification, before the user instructs the start of the process of the absent element addition processing unit 108, an absent element provision rule may be generated and registered in the absent element provision rule DB 106 in advance. In the case of this example, the absent element addition rule generation unit 104 creates a new (or updated) when new standard process information is registered in the standard process information DB 102 or when registered standard process information is updated. With respect to the standard process information (after), the absent element assignment rule generation / registration processing described with reference to step S14 in FIG. 8 is performed. Alternatively, the process may be performed when an input of a user instructing execution of the absent element assignment rule generation / registration process is acquired via the input receiving unit 114. In the case of this example, in the information processing apparatus 10, at the time of execution of the process of the absent element addition processing unit 108, the process of the procedure in which steps S12 and S14 are omitted in the procedure illustrated in FIG.

  As another modification, the absent element addition processing unit 108 may be processed without using the absent element provision rule. In this example, in the procedure illustrated in FIG. 8, the absent element addition processing unit 108 acquires the process information to be processed (Step S10) and the corresponding standard process information (Step S12), and then Steps S16 to S22. Loop processing including In the process of adding the absent element (step S18), the absent element addition processing unit 108 includes the medical practice element included in the process information selected in step S16 and the medical practice element included in the standard process information acquired in step S12. , And an absent element is generated and added to the process information for the medical practice element that is included in the standard process information and not included in the process information. In this example, regardless of the constraints set for the medical practice element in the standard process information, the absence element of the medical practice element that is present in the standard process information but not in the process information to be processed is generated and processed. Added to the process information. In this example, the information processing apparatus 10 may not include the absent element provision rule generation unit 104 and the absent element provision rule DB 106.

  In yet another modification, the identification information of the included actions may be described in different manners in the standard process information and the process information. For example, regarding the medical care process, in the standard process, the name of the medical practice element is described by the common name of the drug, and in the process information representing the drug actually administered to the patient, the name of the medical action element is described by the product name of the drug There can be. In order to cope with such a case, in this modification, information indicating the correspondence between the action identification information in the standard process information and the action identification information in the process information is stored in the standard process information DB 102 or the process information DB 100 in advance. Remember.

  FIG. 11 shows an example of information indicating the correspondence as described above. In the table of the example of FIG. 11, the generic name of the drug and the product name of the drug with the generic name are associated with each other. The standard process information in the standard process information DB 102 includes the general name of the medicine as the medical practice element name, and the process information in the process information DB 100 includes the product name of the medicine as the medical practice element name. To do.

  FIG. 12 shows an example of standard process information including the medical practice element name of the generic name of the drug in the table of the example of FIG. The standard process information illustrated in FIG. 12 is the same as the standard process information illustrated in FIG. 3 except for the aspect of the medical practice element name. When the absent element provision rule generation unit 104 generates the absent element provision rule from the standard process information, the medical element name is replaced with reference to the information in the table of the example of FIG. For example, in the case of the standard process information in the example of FIG. 12, the absent element assignment rule generation unit 104 refers to FIGS. 3 and 4 for each of the medical practice element names “Element_A” to “Element_D” in the standard process information. Similar to the above description, an absent element provision rule corresponding to the corresponding constraint condition is generated. Then, referring to the table in the example of FIG. 11, each medical practice element name “Element_A” to “Element_D” in the standard process information and the medical practice element name (for example, “ Element_c ”), and the corresponding product name. That is, the generic names “Element_A” are replaced with the product names “Element_a1” and “Element_a2”, and the generic names “Element_B”, “Element_C”, and “Element_D” are replaced with the product names “Element_b”, “Element_c”, and “Element_d”, respectively. Replace. Then, the product name corresponding to each medical practice element name in the standard process information and the corresponding absent element provision rule are associated with each other and registered in the absent element provision rule DB 106.

  FIG. 13 shows an example of the absent element assignment rule generated / registered in this example. Referring to FIG. 13, the medical treatment element name represented by two product names “Element_a1” and “Element_a2” corresponding to the general name “Element_A” and the constraint condition “essential” of “Element_A” in the standard process information (FIG. 13) The absence element provision rule “add if not present” corresponding to 12) is associated. In addition, the product names “Element_b” and “Element_d” corresponding to the general names “Element_B” and “Element_D” respectively include the absent element assignment rule “corresponding to the constraint condition“ arbitrary ”(FIG. 12) in the standard process information. "Do nothing" is associated with each. Further, the product name “Element_c” corresponding to the general name “Element_C” is searched for Element_c if there is “Element_d” as an absent element assignment rule corresponding to the constraint condition of “Element_C” in the standard process information. "Add if there is no Element_c" is associated. Note that “Element_d” and “Element_c” included in this absent element provision rule are product names corresponding to the general names “Element_D” and “Element_C” in the standard process information.

  In the modification described with reference to FIG. 11 to FIG. 13, when a plurality of product names are associated with a general name, if one of the plurality of product names is included in the medical care process, the other product An absent element giving rule may be defined so as not to generate an absent element of a name. Further, in this modification, the absent element may be generated with a common name. In this case, for example, the absent element assignment rule is set with the product name as described above, and when the absent element is generated in the absent element addition process (step S18 in FIG. 8), the table in the example of FIG. 11 is used. The product name may be replaced with the corresponding generic name. Alternatively, for example, the absent element giving rule is generated with the general name as it is, and in the absent element addition process (step S18 in FIG. 8), the medical treatment element name (product name) included in the process information to be processed is An absent element may be generated by applying a missing element provision rule after substituting a common name with reference to the table in the example of FIG. You may make it receive selection by a user about whether an absent element is produced | generated by a common name or a product name.

  Heretofore, an example of an embodiment of the present invention and various modifications have been described. Hereinafter, examples of other embodiments of the present invention will be described.

  In FIG. 14, the example of schematic structure of the information processing apparatus 10 by the example of other embodiment of this invention is shown. The information processing apparatus 10 in the example of FIG. 14 includes the absent element candidate list generation unit 118 and the absent element candidate list DB 120 in place of the absent element provision rule generation unit 104 and the absent element provision rule DB 106. Different from the information processing apparatus 10 of FIG. In FIG. 14, the same components as those in FIG. 1 are denoted by the same reference numerals, and detailed description thereof is omitted.

  Referring to FIG. 14, the absent element candidate list generation unit 118 generates the absent element candidate list using the standard process information in the standard process information DB 102 or the process information in the process information DB 100. The absent element candidate list represents medical practice elements to be included in a medical treatment process of a certain treatment name. The generated absent element candidate list is registered in the absent element candidate list DB 120. The processing of the absent element addition processing unit 108 is performed with reference to the absent element candidate list DB 120. The absent element addition processing unit 108 acquires the absent element candidate list corresponding to the treatment name of the process information to be processed from the absent element candidate list DB 120, and is a medical practice element included in the acquired absent element candidate list. Identify medical practice elements that are not included in the process information to be processed. Then, an absent element is generated for the specified medical practice element, and added to the process information to be processed, thereby generating process information with an absent element.

  FIG. 15 shows an example of a procedure of processing performed by the absent element candidate list generation unit 118. The absent element candidate list generation unit 118 starts the procedure of the example of FIG. 15 when the designation of the treatment name is received via the input reception unit 114, for example.

  When the procedure of the example of FIG. 15 is started, the absent element candidate list generation unit 118 acquires standard process information or process information (step S30). When acquiring the standard process information, the standard process information of the designated treatment name is acquired from the standard process information DB 102. When acquiring process information, the process information of the designated treatment name is acquired from the process information DB 100. At this time, instead of acquiring all of the process information of the designated treatment name from the process information DB 100, it is possible to select and acquire process information of a patient with a good medical treatment progress (or result). In this case, for example, in the process information DB 100, information indicating the progress of medical treatment or the degree of goodness of results is registered in association with each process information, and in step S30, the degree of goodness is set in advance. The above process information is selected and acquired.

  Next, the absent element candidate list generation unit 118 generates an absent element candidate list using the standard process information or process information acquired in step S30 (step S32). When the standard process information has been acquired in step S30, for example, a list of medical practice element names included in the standard process information is set as an absent element candidate list. For example, in the case of the standard process information of the treatment name “rapacolle” in the example of FIG. 3, an absent element candidate list including “Element_a”, “Element_b”, “Element_c”, and “Element_d” is generated. Alternatively, the absent element candidate list may be generated by further considering the constraint conditions in the standard process information. For example, a list including medical practice element names other than those whose constraint condition is “arbitrary” among the medical practice element names in the standard process information may be the absent element candidate list. In this example, in the case of the standard process information in the table of the example of FIG. 3, the absent element candidate list includes “Element_a” and “Element_c”. On the other hand, if the process information has been acquired in step S30, the absent element candidate list generation unit 118 sets, for example, a ratio (for example, 85% to 95%) set in advance in the acquired process information. Ii) Specify the name of the medical practice element included in the above process information in common. Then, a list including the specified medical practice element names is generated as an absent element candidate list. A medical practice element that is performed in a medical process that is equal to or higher than a preset ratio among the clinical processes that are actually performed in the treatment of a certain treatment name is a medical practice element that should be included in the medical treatment process of the treatment with the treatment name Since it has a high probability, it is included in the absent element candidate list.

  After step S32, the absent element candidate list generation unit 118 accepts user editing of the absent element candidate list generated in step S32 (step S34). For example, the absence element candidate list and information prompting the user to delete a medical practice element name from the list or add a medical practice element name to the list are displayed on the display unit 116. Then, the user's editing instruction is received via the input receiving unit 114, and the medical practice element name is deleted or added to the list according to the received editing instruction. By step S34, the absence element candidate list is edited by a user who is a member of a medical institution such as a doctor. Note that the process of step S34 may be omitted.

  The edited absent element candidate list is registered in the absent element candidate list DB 120 (step S36). After step S36, the process of the procedure in the example of FIG.

  An example of a processing procedure of the absent element addition processing unit 108 in the example of this embodiment with reference to FIGS. 14 and 15 will be described. Referring to the flowchart of the example of FIG. 8, after acquiring the process information to be processed (step S <b> 10), instead of performing the processes of steps S <b> 12 and S <b> 14, the absent element addition processing unit 108 treats the process information to be processed. The absent element candidate list corresponding to the name is acquired from the absent element candidate list DB 120. Next, process information of one medical process name is selected from the process information to be processed (step S16), and in the absent element addition process (step S18), the medical care included in the absent element candidate list acquired as described above. For a medical practice element name that is an action element name and is not included in the process information selected in step S16, an absent element indicating that the medical practice element name is not included is generated. Then, the absent element-added process information is generated by adding the generated absent element to the selected process information. Registration of the process information with absent element (step S20) and determination of whether or not all the process information to be processed have been processed (step S22) are performed in the same manner as the process described above with reference to FIG. Just do it.

  In the example of this embodiment with reference to FIG. 14 and FIG. 15, the absent element candidate list generation unit 118 not only performs the processing of the procedure of the example of FIG. When the instruction for generating the element candidate list is received, the process of the procedure in the example of FIG. 15 is repeated for each of the standard process information registered in the standard process information DB 102 or the process information DB 100 or the treatment name corresponding to the process information. May be executed. Alternatively, for example, after the absent element addition processing unit 108 acquires the process information to be processed (step S10 in FIG. 8), the processing of the procedure in the example of FIG. 15 is executed for the treatment name of the process information to be processed. Also good.

  Also, in the example of this embodiment with reference to FIGS. 14 and 15, as in the modification described with reference to FIGS. 11 to 13, the medical practice element names may be replaced. For example, when the medical treatment element name is represented by the generic name of the drug in the standard process information and the medical practice element name is represented by the product name of the drug in the process information, the absent element candidate list generated using the standard process information 11 may be replaced with the product name using the information in the table of the example of FIG.

  The aspect of the process information processed in the examples and modifications of the various embodiments described above is not limited to the aspects illustrated in FIGS.

  For example, the medical practice element included in the process information may have a lower element (lower item). As a specific example, when an infusion containing a plurality of drugs is used in a medical practice “infusion”, “infusion” is used as a medical practice element, and the names of a plurality of drugs included in the infusion are used as process information. The case where it records as a part of is considered. FIG. 16A shows an example of process information of a medical care process composed of medical action elements having sub-elements.

  Referring to FIG. 16A, the medical process “Process1” includes medical practice elements “Element_I” and “Element_J”, “Element_I” has lower elements “SubElement_k” and “SubElement_l”, and “Element_J” It has an element “SubElement_m”. When the process information has a configuration as in the example of FIG. 16A, the standard process information is also defined as information on a medical process composed of medical action elements having lower elements. Further, the constraint condition of each lower element in the standard process information may be defined in relation to the medical practice element having the lower element. For example, when the standard process information has the contents illustrated in FIG. 16A, the constraint conditions of the lower elements “SubElement_k” and “SubElement_l” are defined as “essential as lower elements of the medical practice element“ Element_I ””. The absent element assignment rule generated correspondingly may be, for example, “add as a child node if it does not exist as a child node of the medical practice element“ Element_I ”. In addition, the absent element provision rule may be generated for higher-level medical practice elements.

  FIG. 16B shows an example of the absent element-attached process information generated when the standard process information has the contents exemplified in FIG. 16A. Referring to FIG. 16B, the medical process “Process2” has “SubElement_k” and “SubElement_-l” as subordinate elements of the medical practice element “Element_I”. Among these, “SebElement_-l” is an absent element indicating that the lower element “SubElement_l” does not exist.

  As another example of the aspect of the process information, the process information may include information regarding the time when each medical practice element is performed. The information regarding time may be, for example, the date or date when the medical practice element is performed. Alternatively, for example, in the case of process information of a hospitalized patient's medical care process, it may be information indicating on what day the medical practice element was performed from the first day of hospitalization. FIG. 17A is an example of process information including information about time. In the tree structure illustrated in FIG. 17A, in the medical treatment process “Process1”, the medical practice elements “Element_a” and “Element_b” are performed at time “Time1”, and the medical practice elements “Element_b” and “Element_c” are performed at time “Time2”. Indicates that has been done. When processing process information including time information, standard process information is also defined including time information. In this case, the constraint condition of each medical practice element is defined in relation to the time when the medical practice element is performed. For example, for each medical practice element, “required” in “time“ Time1 ”and time“ Time2 ”,“ arbitrary ”in time“ Time1 ”and time“ Time2 ”, or“ time “Time1” and time “ Constraints are defined as “required” in one of “Time2” and “arbitrary” in the other, etc. Absent element assignment rules generated according to such constraints are also defined in relation to time. For example, an absent element assignment rule whose constraint condition is “required” in “time“ Time1 ”and time“ Time2 ”is“ child node if it does not exist as a child node of “time“ Time1 ”and“ Time2 ”” It may be “Add”.

  FIG. 17B shows an example of absent element-added process information in which an absent element is added to process information including information related to time. The tree structure in the example of FIG. 17B has an absent element “Element_-a” as a child node of time “Time1”, and an absent element “Element_-b” as a child node of time “Time2”. These absence elements are that in the medical process “Process2”, the medical practice element “Element_a” was not performed at the time “Time1” and the medical practice element “Element_b” was not performed at the time “Time2”. Represents.

  In the above description, the process information of the medical care process in medicine has been given as an example of the process information. However, the processes of the above-described various embodiments and modified examples are process information representing processes other than the medical care process. May be performed in the same manner. As a process other than the medical care process, for example, a business process composed of a plurality of operations can be considered. In the case of a business process, work constituting the business process may be processed as an action element instead of the above-described medical action element.

  The information processing apparatus 10 exemplified above is typically realized by executing a program describing functions or processing contents of each unit of the information processing apparatus 10 described above on a general-purpose computer. As shown in FIG. 18, for example, the computer has a CPU (central processing unit) 80, a memory (primary storage) 82, various I / O (input / output) interfaces 84, and the like connected via a bus 86. Circuit configuration. In addition, a hard disk drive (HDD) 88, a disk drive 90 for reading various types of portable non-volatile recording media such as a CD, a DVD, and a flash memory is connected to the bus 86 via, for example, an I / O interface 84. Connected. Such a drive 88 or 90 functions as an external storage device for the memory. A program in which the processing content of the embodiment is described is stored in a fixed storage device such as the HDD 88 via a recording medium such as a CD or DVD or via a network, and is installed in a computer. The program stored in the fixed storage device is read into the memory and executed by the CPU, whereby the processing of the embodiment is realized.

  In the above, the embodiment of the example in which the information processing apparatus 10 is realized by one computer has been described. However, the various functions of the above-described example of the information processing apparatus 10 may be realized by being distributed to a plurality of computers. Good.

  DESCRIPTION OF SYMBOLS 10 Information processing apparatus, 80 CPU, 82 Memory, 84 I / O interface, 86 bus, 88 HDD, 90 Disk drive, 100 Process information DB, 102 Standard process information DB, 104 Missing element assignment rule generation part, 106 Missing element assignment Rule DB, 108 absent element addition processing unit, 110 process information output unit with absent element, 112 process information DB with absent element, 114 input reception unit, 116 display unit, 118 absent element candidate list generation unit, 120 absent element candidate list DB .

Claims (6)

An acquisition step of acquiring the first history information of the designated process from the first storage means storing the first history information that associates the executed process with one or more actions performed in the process;
When there is an absent action that is an action that is not included in the first history information acquired by the acquisition step, among the actions included in the reference information representing an action that can be performed in the specified process, the absent action is the process. An output step of outputting absentee information indicating that the action has not been performed in
To the computer ,
The output step includes
Determining whether or not to output the absence action information based on a constraint condition when performing an action included in the reference information;
A program characterized by that . An acquisition step of acquiring the first history information of the designated process from the first storage means storing the first history information that associates the executed process with one or more actions performed in the process;
Among the actions included in the reference information representing actions that can be performed in the specified process, the absent action that is not included in the first history information acquired in the acquisition step is performed in the process. A generation step for generating absence activity information indicating that the
An output step for outputting the second history information including the first history information acquired by the acquisition step and the absence act information generated by the generation step to the second storage unit;
To the computer,
The action included in the reference information is an action set in advance as an action that can be performed in the process, and each of the preset action is stored in association with a constraint condition when the action is performed. Obtained from the third storage means,
In the generation step, it is determined whether to generate the absent action information for the absent action according to a rule determined based on the constraint condition stored in the third storage unit in association with the absent action.
A program characterized by that. The action included in the first history information and the action included in the reference information are described in the first history information and the reference information by identification information of different aspects,
The process of the output step is executed with reference to information representing a correspondence relationship between the action identification information included in the first history information and the action identification information included in the reference information.
The program according to claim 1 . The action included in the reference information is an action commonly included in the plurality of first history information selected from the first history information stored in the first storage unit.
The program according to claim 1 or 2 , characterized by the above-mentioned. Each of the first history information includes a process of medical care performed on a single patient in medical care and one or more medical care actions performed on the patient in the medical care process,
The reference information represents a medical practice that can be performed on a patient of the first history information acquired by the acquisition step.
The program according to any one of claims 1 to 4 , wherein: An acquisition means for acquiring the first history information of a designated process from a first storage means storing first history information that associates an executed process with one or more actions performed in the process;
If there is an absent action that is an action that is not included in the first history information acquired by the acquisition means, among the actions included in the reference information that represents an action that can be performed in the specified process, the absent action is the process. Output means for outputting absentee action information indicating that it has not been performed in
Equipped with a,
The output means includes
Determining whether or not to output the absence action information based on a constraint condition when performing an action included in the reference information;
An information processing apparatus characterized by that.

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