JP2020204799A - Treatment selection support device - Google Patents

Abstract

To support decision making when a doctor selects treatment to be performed for a patient.SOLUTION: A treatment selection support device according to an embodiment comprises: an extraction unit; a first specification unit; a second specification unit; and an output unit. The extraction unit extracts, from a medical record that is a record related to one or more types of treatment and examinations performed for a plurality of patients in the past, one or more similar patients similar to a patient to be treated. The first specification unit specifies, from the medical record, the condition of each of the one or more similar patients before and after the one or more types of treatment performed for the one or more similar patients. Based on a change in the condition of each of the one or more similar patient before and after the one or more types of treatment, the second specification unit specifies, of the one or more types of treatment performed for the one or more similar patients, one or more types of treatment affecting the change in the condition of any one of the one or more similar patients. The output unit outputs the one or more types of treatment specified by the second specification unit.SELECTED DRAWING: Figure 1

Description

Embodiments of the present invention relate to a treatment selection support device.

Conventionally, a technique for assisting a doctor or the like in creating a medical treatment plan has been known. For example, there is a technique capable of extracting past medical records similar to the medical records of a patient to be treated. However, in such a conventional technique, it may be difficult for a doctor or the like to grasp which treatment included in the past medical records has affected the change in the patient's condition. For this reason, the choice of treatment for a patient may depend on the individual medical knowledge and past experience of the physician. Inexperienced doctors may also take some time to choose treatment.

Japanese Unexamined Patent Publication No. 2001-118014

A challenge to be solved by the present invention is to assist physicians in making decisions when choosing treatments for patients.

The treatment selection support device according to the embodiment includes an extraction unit, a first specific unit, a second specific unit, and an output unit. The extraction unit extracts one or more similar patients similar to the patient to be treated from the medical records which are records related to one or more treatments and tests received by the plurality of patients in the past. The first specific part identifies the condition of each of the one or more similar patients before and after the one or more treatments received by the one or more similar patients from the medical records. The second specific part received one or more similar patients based on the change before and after one or more treatments of each condition of one or more similar patients identified by the first specific part. Or, of the plurality of treatments, identify one or more treatments that have affected changes in the condition of any one or more similar patients. The output unit outputs one or more treatments identified by the second specific unit.

FIG. 1 is a block diagram showing an example of the configuration of the treatment selection support system according to the first embodiment. FIG. 2 is a diagram showing an example of a list of patients to be treated according to the first embodiment. FIG. 3 is a diagram showing an example of a medical record database according to the first embodiment. FIG. 4 is a diagram showing an example of a severity classification guideline according to the first embodiment. FIG. 5 is a diagram showing an example of extraction conditions for similar patients according to the first embodiment. FIG. 6 is a diagram showing an example of a specific result of each body of one or a plurality of similar patients according to the first embodiment. FIG. 7 is a diagram showing an example of a specific result of a physical condition of a patient to be treated according to the first embodiment. FIG. 8 is a diagram showing an example of a calculation result of the degree of recovery of a similar patient according to the first embodiment. FIG. 9 is a diagram showing an example of a method for evaluating the treatment content received by a similar patient according to the first embodiment. FIG. 10 is a diagram showing an example of calculation of the number of similar patients for each combination of the treatment according to the first embodiment and the body after the treatment. FIG. 11 is a diagram showing an example of the initial display of the treatment selection support screen according to the first embodiment. FIG. 12 is a diagram showing an example of displaying detailed information on the treatment selection support screen according to the first embodiment. FIG. 13 is a diagram showing an example of display change on the treatment selection support screen according to the first embodiment. FIG. 14 is a diagram showing another example of changing the display of the treatment selection support screen according to the first embodiment. FIG. 15 is a flowchart showing an example of the flow of the treatment selection support process executed by the treatment selection support device according to the first embodiment. FIG. 16 is a block diagram showing an example of the configuration of the treatment selection support system according to the second embodiment. FIG. 17 is a diagram showing an example of daily changes in the condition of the patient to be treated according to the second embodiment from the first day of hospitalization to the present. FIG. 18 is a state transition diagram showing changes in the condition of the patient to be treated according to the second embodiment. FIG. 19 is a diagram showing an example of a method for identifying changes in the condition of similar patient candidates according to the second embodiment. FIG. 20 is a diagram showing an example of the initial display of the treatment selection support screen according to the second embodiment. FIG. 21 is a flowchart showing an example of the flow of the treatment selection support process executed by the treatment selection support device according to the second embodiment. FIG. 22 is a diagram showing an example of a medical record database according to the first modification. FIG. 23 is a block diagram showing an example of the configuration of the treatment selection support system according to the modified example 2.

Hereinafter, embodiments of the treatment selection support device will be described in detail with reference to the drawings.

(First Embodiment)
FIG. 1 is a block diagram showing an example of the configuration of the treatment selection support system S1 according to the present embodiment. As shown in FIG. 1, the treatment selection support system S1 includes a treatment selection support device 100 and an electronic medical record storage device 400. The treatment selection support device 100 is connected to the electronic medical record storage device 400 via a network 300 such as an in-hospital LAN (Local Area Network).

The electronic medical record storage device 400 is installed as a part of an electronic medical record system introduced in, for example, a hospital or the like, and stores medical data generated by the electronic medical record system. The electronic medical record storage device 400 is realized by a computer device such as a DB (Database) server, and stores vital data in a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory or a storage circuit such as a hard disk or an optical disk. Let me.

The treatment selection support device 100 is, for example, a server device or a PC (Personal Computer) installed in a medical institution such as a hospital, and includes a NW (network) interface 110, a storage circuit 120, an input interface 130, and a display 140. , And a processing circuit 150.

The NW interface 110 is connected to the processing circuit 150 and controls the transmission and communication of various data performed between the treatment selection support device 100 and the electronic medical record storage device 400. The NW interface 110 is realized by a network card, a network adapter, a NIC (Network Interface Controller), or the like.

The storage circuit 120 stores various types of information used in the processing circuit 150 in advance. In the present embodiment, the storage circuit 120 stores a list of patients to be treated, a medical record database (DB), and a severity classification guideline. Further, the storage circuit 120 stores various programs.

The treatment target patient list is a list of information about patients receiving treatment at a medical institution in which the treatment selection support device 100 is installed.

FIG. 2 is a diagram showing an example of the treatment target patient list 1201 according to the present embodiment. As shown in FIG. 2, the treatment target patient list 1201 is associated with, for example, a patient ID (patient identification information), age, gender, and disease name. The disease name included in the treatment target patient list 1201 is, for example, the main disease name of the patient as shown in FIG. 2, but a secondary disease name may also be associated with the disease name.

The main disease name shall be the name of the disease that caused the hospitalization in the inpatients, and the name of the disease that was mainly treated or tested in the outpatients. The name of the secondary disease shall be the name of the disease that the patient is suffering from, in addition to the name of the main disease.

The medical record database is a database in which records relating to one or more tests and treatments received by a plurality of patients in the past are registered. The plurality of patients registered in the medical record database is an example of a plurality of patients who have received one or more treatments in the past in this embodiment. In addition, when a plurality of patients registered in the medical record database are collectively referred to as a patient group. The examination and treatment records registered in the medical record database are an example of medical records in the present embodiment.

FIG. 3 is a diagram showing an example of the medical record database 1202 according to the present embodiment. The medical record database 1202 is associated with, for example, a patient ID, age, gender, disease name, treatment date and time, treatment content, test content, test date and time, and test result. The disease name registered in the medical record database 1202 is, for example, the main disease name of the patient as shown in FIG. 3, but a secondary disease name may also be registered.

The treatment in the present embodiment includes, but is not limited to, medication, surgery, radiation therapy, and the like. Further, in the present embodiment, the test includes, for example, a blood test, imaging of a medical image, blood pressure measurement, temperature measurement, and the like, but the test is not limited thereto. Generally, blood pressure measurement, temperature measurement, etc. may be recorded as a nursing record, but in the present embodiment, the results of pressure measurement, temperature measurement, etc. are also registered in the medical record database 1202 as test results.

The medical record registered in the medical record database 1202 may be a past medical record at a medical institution where the treatment selection support device 100 is installed, or a past medical record at another medical institution.

Further, in the present embodiment, the record related to one or more treatments received by the patient to be treated is also registered in the medical record database 1202, but the record of the patient to be treated is different from the past patient. It may be registered in a different database.

In FIG. 3, the medical record database 1202 is described as one table-type database, but the data retention format is not limited to this. For example, the medical record database 1202 may be composed of a plurality of tables associated with each other by patient IDs.

Further, FIG. 4 is a diagram showing an example of the severity classification guideline 1203 according to the present embodiment. As shown in FIG. 4, the severity classification guideline 1203 is information in which a plurality of disease names and corresponding conditions of each of a plurality of stages of the severity of the disease names are associated with each other. The configuration of the severity classification guideline 1203 shown in FIG. 4 is an example, and is not limited to this. Further, in the present embodiment, the severity is an example of condition information indicating the condition of the patient.

Returning to FIG. 1, the input interface 130 is, for example, a mouse, a keyboard, or the like, receives various input operations from the operator, converts the received input operations into electrical signals, and outputs the received input operations to the processing circuit 150. Further, the processing circuit of the electric signal that receives the electric signal corresponding to the input operation from the external input device provided separately from the treatment selection support device 100 and outputs the electric signal to the processing circuit 150 is also the input interface 130. Included in the example. The operator of the treatment selection support device 100 of the present embodiment is, for example, a doctor or the like.

The display 140 is a liquid crystal display or a CRT (Cathode Ray Tube) display. The display 140 is an example of a display unit in the present embodiment. The input interface 130 and the display 140 may be integrated. For example, the input interface 130 and the display 140 may be realized by a touch panel.

The processing circuit 150 is a processor that realizes a function corresponding to each program by reading a program from the storage circuit 120 and executing the program. The processing circuit 150 of the present embodiment has an acquisition function 151, a reception function 152, an extraction function 153, a first specific function 154, a first calculation function 155, a second specific function 156, and a setting function. It includes 157, a second calculation function 158, a screen configuration function 159, and an output function 160. The acquisition function 151 is an example of an acquisition unit. The reception function 152 is an example of the reception unit. The extraction function 153 is an example of an extraction unit. The first specific function 154 is an example of the first specific unit. The first calculation function 155 is an example of the first calculation unit. Further, the first calculation function 155 may be simply referred to as a calculation unit. The second specific function 156 is an example of the second specific part. The setting function 157 is an example of a setting unit. The second calculation function 158 is an example of the second calculation unit. The screen configuration function 159 is an example of the screen configuration unit. The output function 160 is an example of an output unit.

Here, for example, the acquisition function 151, which is a component of the processing circuit 150, the reception function 152, the extraction function 153, the first specific function 154, the first calculation function 155, and the second specific function 156. The setting function 157, the second calculation function 158, the screen configuration function 159, and the output function 160 are stored in the storage circuit 120 in the form of a program that can be executed by a computer. The processing circuit 150 reads each program from the storage circuit 120 and executes each read program to realize a function corresponding to each program. In other words, the processing circuit 150 in the state where each program is read out has each function shown in the processing circuit 150 of FIG. In FIG. 1, a single processing circuit 150 is used to set the acquisition function 151, the reception function 152, the extraction function 153, the first specific function 154, the first calculation function 155, and the second specific function 156. Although each processing function of the function 157, the second calculation function 158, the screen configuration function 159, and the output function 160 has been described as being realized, a plurality of independent processors are combined to form a processing circuit 150, and each processor May realize each processing function by executing each program.

The word "processor" used in the above description means, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an integrated circuit for a specific application (Application Specific Integrated Circuit: ASIC), or a programmable logic device (for example, a programmable logic device). It means a circuit such as a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA). Instead of storing the program in the storage circuit 120, the program may be directly incorporated in the circuit of the processor. In this case, the processor realizes the function by reading and executing the program embedded in the circuit.

The acquisition function 151 acquires various information from the electronic medical record storage device 400 via the network 300 and the NW interface 110.

For example, the acquisition function 151 acquires the patient ID, age, gender, and disease name of the patient being treated at the medical institution where the treatment selection support device 100 is installed from the electronic medical record storage device 400, and acquires the patient ID, age, gender, and disease name of the storage circuit 120. Register in the treatment target patient list 1201.

In addition, the acquisition function 151 acquires records related to medical treatments given to a plurality of patients in the past from the electronic medical record storage device 400, and registers them in the medical treatment record database 1202 of the storage circuit 120. When the medical record database 1202 is a past medical record in another medical institution, the acquisition function 151 may acquire the medical record from an external device and register it in the medical record database 1202 of the storage circuit 120.

The reception function 152 receives various operations by the operator via the input interface 130. For example, the reception function 152 accepts an operation of an operator who selects any one treatment target patient from the treatment target patient list displayed on the display 140 by the output function 160 described later. The reception function 152 sends the patient ID of the selected patient to be treated to the extraction function 153 and the first specific function 154.

Further, for example, the reception function 152 accepts an operation of an operator who selects either one or a plurality of bodies displayed on the display 140 by the output function 160 described later. Further, the reception function 152 accepts an operation of an operator who selects either one or a plurality of treatments displayed on the display 140 by the output function 160 described later. In addition, the reception function 152 accepts the operation of the operator who requests the display of detailed information. The reception function 152 sends the contents of the received operation to the output function 160.

The extraction function 153 extracts one or more similar patients similar to the patient to be treated from the medical record database 1202. In the present embodiment, the similar patient is a patient whose age, sex, and disease name are similar to those of the patient to be treated.

FIG. 5 is a diagram showing an example of extraction conditions for similar patients according to the present embodiment. In the example shown in FIG. 5, among the patients registered in the treatment target patient list 1201, patients with patient ID "001", age "72 (years)", gender "male", and main disease name "chronic heart failure" are treated targets. Selected as a patient. In this case, the extraction function 153 determines, for example, among the patients registered in the medical record database 1202, patients whose age, gender, and disease name match those of the patients to be treated as similar patients. The age is not limited to the patient who completely matches the patient to be treated, and may be the same as long as it is the same age as the patient to be treated.

In the example shown in FIG. 5, the extraction function 153 refers to a patient in his 70s with a gender “male”, a main disease name “chronic heart failure”, a patient ID “101” and a patient ID “104”, and a patient ID “001”. Extract as similar patients to the patients to be treated. In the present embodiment, when a plurality of similar patients are collectively referred to as a similar patient group.

Note that similar patients are not limited to patients whose age, gender, and disease name are similar to those of the patients to be treated. For example, a patient whose sample test result, vital data, medical image of a lesion, etc. are similar to the patient to be treated may be regarded as a similar patient.

The extraction function 153 sends the patient ID of the extracted similar patient to the first specific function 154.

Returning to FIG. 1, the first specific function 154 is based on the medical records registered in the medical record database 1202, and the conditions of each of the similar patients before and after one or more treatments received by one or more similar patients. Identify the current condition of the patient to be treated.

The details of the method for identifying the body will be described with reference to FIGS. 6 and 7. FIG. 6 is a diagram showing an example of a specific result of each body of one or a plurality of similar patients according to the present embodiment.

The table on the left side of FIG. 6 is an example of test results before and after treatment of similar patients acquired by the first specific function 154 from the medical record database 1202. In addition, the table on the right side of FIG. 6 is an example of specific results of the condition (severity) corresponding to the test results before and after the treatment of similar patients.

For example, the test result of NT-proBNP (N-terminal proB-type natriuretic peptide) before treatment of a similar patient with patient ID "101" in FIG. 6 is "900", and the test result of blood pressure is "180". In addition, the test result of NT-proBNP after treatment of a similar patient with patient ID "101" is "100", and the test result of blood pressure is "120".

In the present embodiment, "before treatment" is before the treatment date and time when the treatment registered in the medical record database 1202 (for example, "administration of anticoagulant") is performed. Further, "after treatment" is after the treatment date and time when the treatment registered in the medical record database 1202 was performed. When a plurality of treatments are given to one patient, the first specific function 154 acquires the test results before and after the treatment for each treatment. When a plurality of treatments are in one set (combination), the time before the start of the one set of treatment may be "before treatment" and the time after the end of the plurality of treatments may be "after treatment".

Further, the test result to be acquired does not have to be the result of all the tests received by the similar patient. For example, among the test results registered in the medical record database 1202, the result of the important test in the main disease name of the similar patient. If it is good. An important test in the name of the main disease of a similar patient is, for example, the test result used in the corresponding condition of the severity registered in the severity classification guideline 1203.

The first specific function 154 identifies the condition of each similar patient before and after treatment based on the test results before and after treatment acquired from the medical record database 1202 and the severity classification guideline 1203. For example, in the first specific function 154, the “pre-treatment” NT-proBNP test results and blood pressure test results of a similar patient with patient ID “101” are registered in the severity classification guideline 1203 shown in FIG. Determine which of the multiple severity conditions apply.

In the example shown in FIG. 6, it is assumed that the “pre-treatment” NT-proBNP test result and the blood pressure test result of a similar patient with patient ID “101” satisfy the corresponding condition of “severity 3”. In this case, the first specific function 154 determines the "pre-treatment" severity of a similar patient with patient ID "101" to be "1".

In this embodiment, the condition of similar patients and patients to be treated is represented by severity. Therefore, the first specific function 154 identifies the “pre-treatment” condition of a similar patient with the patient ID “101” as “3”.

Further, in the example shown in FIG. 6, the test result of NT-proBNP and the test result of blood pressure of a similar patient with patient ID "101" "after treatment" shall satisfy the corresponding condition of "severity 1". In this case, the first specific function 154 identifies the “pre-treatment” condition of a similar patient with patient ID “101” as “1”.

FIG. 7 is a diagram showing an example of a specific result of a physical condition of a patient to be treated according to the present embodiment. The first specific function 154 identifies the current condition of the patient to be treated based on the latest test result of the patient to be treated obtained from the medical record database 1202 and the severity classification guideline 1203. The method of specifying the condition of the patient to be treated is the same as the method of specifying the condition of a similar patient.

The first specific function 154 sends the combination of the treatment received by the similar patient and the condition of the similar patient after the treatment to the first calculation function 155 and the second calculation function 158 as a specific result. In addition, the first specific function 154 sends the current condition of the patient to be treated to the screen configuration function 159.

Returning to FIG. 1, the first calculation function 155 calculates the amount of change in the condition of similar patients before and after treatment. In the present embodiment, the amount of change in the condition of a similar patient before and after treatment is referred to as the degree of recovery. More specifically, the first calculation function 155 calculates the degree of recovery of similar patients before and after treatment based on the difference in the condition of one or more similar patients before and after the treatment specified by the first specific function 154. To do.

FIG. 8 is a diagram showing an example of a calculation result of the degree of recovery of a similar patient according to the present embodiment. As shown in FIG. 8, the first calculation function 155 calculates the result of subtracting the value indicating the post-treatment condition from the value indicating the condition after treatment of each similar patient as the degree of recovery of the condition of each similar patient. To do. If the post-treatment condition is better than the pre-treatment condition, the degree of recovery is positive (positive number). In addition, when the condition after treatment is worse than that before treatment, the degree of recovery becomes negative (negative number). If there is no change in the condition before and after the treatment, the degree of recovery will be "0".

The first calculation function 155 associates the one or more treatments received by each similar patient with the degree of recovery of each similar patient before and after each of the one or more treatments, and the second specific function 156 and It is sent to the setting function 157.

Returning to FIG. 1, the second specific function 156 is one or more based on the change before and after one or more treatments of each condition of one or more similar patients identified by the first specific function 154. Among one or more treatments received by a similar patient in the above, identify one or more treatments that have affected changes in the condition of any one or more similar patients.

More specifically, the second specific function 156 was received by one or more similar patients based on the degree of recovery calculated by the first calculation function 155 and the medical records registered in the medical record database 1202. Among one or more treatments, identify the treatment that contributed to the recovery of the condition of one or more similar patients. For example, the second specific function 156 refers to the treatment in which the recovery degree of the similar patient is positive (positive number) before and after the treatment among one or more treatments received by each similar patient. Identify as a treatment that has contributed to the recovery of.

FIG. 9 is a diagram showing an example of a method for evaluating the treatment content received by a similar patient according to the present embodiment. In the examples shown in the upper and middle rows of FIG. 9, among one or more treatments received by each similar patient, the treatment in which the degree of recovery of each similar patient before and after the treatment is positive is "administration of anticoagulant. "And" administration of diuretics ". The second specific function 156 identifies these treatments as treatments that have contributed to the recovery of similar patients and sends the specific results to the setting function 157 and the output function 160.

Returning to FIG. 1, the setting function 157 is such that the larger the number of one or more similar patients whose condition has recovered after receiving the treatment, among the one or more treatments received by one or more similar patients. Each one or more treatments is prioritized so that the treatment has a higher priority. The priority is also called the recommendation level. When one similar patient receives treatment multiple times and recovers multiple times, the setting function 157 counts the one similar patient as the number of people who recovered (frequency). Is also good.

For example, in the examples shown in the middle and lower rows of FIG. 9, "administration of anticoagulant" contributed to recovery twice, and "administration of diuretic" contributed to recovery once. In this case, the setting function 157 sets the priority of "administration of anticoagulant" to the highest "1" and the priority of "administration of diuretic" to the next highest "2".

In addition, the setting function 157 may set a priority other than the treatment that contributed to the recovery of the condition. For example, the setting function 157 sets the priority of the treatment in which the condition did not change before and after the treatment after the treatment that contributed to the recovery of the condition, and the treatment in which the condition deteriorated frequently before and after the treatment. The priority may be set next. In addition, the setting function 157 may set a priority for each of one or more treatments so that the higher the frequency of deterioration of the condition before and after the treatment, the lower the priority of the treatment.

The setting function 157 sends a priority to each of the set one or more treatments to the output function 160.

Returning to FIG. 1, the second calculation function 158 calculates the number of similar patients for each combination of one or more treatments and the condition after the treatment. Specifically, the second calculation function 158 obtains the combination of the treatment received by the similar patient and the condition of the similar patient after the treatment from the first specific function 154, and is the treatment received by the similar patient. The number of similar patients corresponding to the combination with the condition of similar patients after the treatment is calculated.

FIG. 10 is a diagram showing an example of calculation of the number of similar patients for each combination of the treatment according to the present embodiment and the body after the treatment. For example, in the example shown in FIG. 10, among similar patients whose condition after treatment was "1", the number of similar patients treated with "administration of anticoagulant" was "40" and "diuresis". The number of similar patients treated with "drug administration" is "10". The second calculation function 158 calculates the total number of similar patients. In the example shown in FIG. 10, the total number of similar patients is 150.

Further, the calculation target of the second calculation function 158 is not limited to these, and various statistical information may be calculated regarding the treatment or the condition of a similar patient. For example, the second calculation function 158 may calculate the percentage of similar patients who have recovered to the condition "1", which is the best condition after the treatment, for each condition before the treatment.

The second calculation function 158 sends the calculated number of similar patients for each combination of the treatment and the condition after the treatment and the total number of similar patients to the screen configuration function 159 and the output function 160.

Returning to FIG. 1, the screen configuration function 159 determines the screen configuration of the treatment selection support screen displayed on the display 140. More specifically, the screen configuration function 159 determines the initial display of the treatment selection support screen. For example, in the screen configuration function 159, the number of similar patients corresponding to the combination of the treatment received by the similar patient whose condition after treatment is better than the current condition of the patient to be treated and the condition of the similar patient after the treatment is The most common combination is determined as the first highlighting target in the initial display of the treatment selection support screen.

In the example shown in FIG. 10, the post-treatment condition of a similar patient is "1" and "2", which is better than the current condition "3" of the patient to be treated. In addition, among the combinations of the treatment with the condition "1" or "2" after the treatment, the number of similar patients corresponding to the combination of "administration of anticoagulant" and the condition "1" is the largest. In this case, the screen configuration function 159 determines the combination of "administration of anticoagulant" and the condition "1" as the first highlighting target in the initial display of the treatment selection support screen.

In addition, the screen configuration function 159 is a combination of the condition "1" which is the first highlighting target and the treatment other than the treatment of the first highlighting target, in which the number of corresponding similar patients is other than "0". Is determined as the second highlighting target. In the example shown in FIG. 10, the screen configuration function 159 determines "administration of a diuretic" as the second highlighting target. When there are a plurality of combinations in which the number of corresponding similar patients is other than "0", the screen configuration function 159 sets the third highlighting target, the fourth highlighting target, and the like in descending order of the number of corresponding similar patients. You may decide. Alternatively, the screen configuration function 159 may determine all of the plurality of combinations as a plurality of second highlighting targets when there are a plurality of combinations in which the number of corresponding similar patients is other than “0”.

The screen composition function 159 is a combination of the treatment received by the similar patient determined as the first highlighting target and the condition of the similar patient after the treatment, and the treatment received by the similar patient determined as the second highlighting target. The combination of similar patient's condition after the treatment is sent to the output function 160.

The output function 160 outputs one or more treatments identified by the second specific function 156. For example, the output function 160 outputs one or more of the treatments received by one or more similar patients that have contributed to the recovery of the condition of one or more similar patients. Hereinafter, the output function 160 will be specifically described with reference to FIGS. 11 to 14.

FIG. 11 is a diagram showing an example of the initial display of the treatment selection support screen 1401 according to the present embodiment. As shown in FIG. 11, the output function 160 displays the current condition of the patient to be treated, one or more treatments received by the similar patient, and the condition of the similar patient after the treatment as a treatment selection support screen 1401. Display (output) on 140.

In addition, the output function 160 displays one or more treatments received by similar patients on the display 140 in descending order of priority set by the setting function 157. For example, as described in FIG. 9, the highest priority treatment is "administration of anticoagulants" and the next highest priority treatment is "administration of diuretics". Therefore, the output function 160 displays "administration of anticoagulant" at the top, and then "administration of diuretic". "Administration of anticoagulants" and "administration of diuretics" are treatments identified as treatments that have contributed to the recovery of similar patients by the second specific function 156.

Further, in the present embodiment, treatments that do not contribute to the recovery of similar patients are also displayed. For example, the output function 160 also displays “beta inhibitor administration” and “cardiac stimulant administration” in which the degree of recovery of similar patients became “0” or negative before and after treatment. For example, when the setting function 157 sets the priority, the output function 160 displays the treatments that do not contribute to the recovery of similar patients in the order of the priority.

In addition, the output function 160 displays the condition of a similar patient after treatment on the treatment selection support screen 1401. In the example shown in FIG. 11, the output function 160 displays the medical condition after the treatment in the order of the good condition, but the display order is not limited to this.

In addition, the output function 160 highlights the combination of the treatment received by the similar patient determined as the first highlighting target by the screen configuration function 159 and the condition of the similar patient after the treatment. In the example shown in FIG. 11, the output function 160 highlights the combination of the first highlighting target “administration of anticoagulant” and the body “1” by surrounding it with a thick outline. In addition, the output function 160 displays the "administration of the blood coagulation inhibitor" to be highlighted first and the condition "1" in association with each other with a thick arrow. In addition, the output function 160 displays the second highlighting target “administration of diuretic” and the condition “1” in association with each other with a normal arrow. The display of the second highlighting target has a display mode in which the degree of highlighting is lower than that of the first highlighting target.

In addition, the output function 160 displays on the display 140 the proportion of similar patients who have reached each of the one or more bodies in the total number of one or more similar patients. For example, in the example shown in FIG. 11, the output function 160 has a total number of similar patients “150” and the number of similar patients “1” to “4” after treatment, respectively, “50”, “ "50 people", "20 people", and "30 people" are displayed. In FIG. 11, the output function 160 displays the ratio with the total number of similar patients as the denominator and the number of bodies after each treatment as the numerator, but the number of bodies after each treatment in the total number of similar patients is displayed. The numerical value after the calculation of the ratio may be displayed.

Further, the output function 160 displays one or a plurality of bodies and a breakdown of one or a plurality of similar patients who have reached the body for each treatment on the display 140 in association with each other. For example, in the example shown in FIG. 11, the output function 160 is among similar patients who received the first highlighted object “1” and the first highlighted object treatment “administration of anticoagulant”. , The number of similar patients "40" who reached the condition "1" is displayed in association with each other. In addition, the output function 160 determines the number of similar patients "10" who have reached the condition "1" among similar patients who have received "administration of a diuretic", which is the treatment to be highlighted second. Displayed in association with the container "1".

Further, in the example shown in FIG. 11, the output function 160 indicates the current condition of the patient to be treated, the treatment “administration of anticoagulant” for the first highlighting target, and the treatment “diuresis” for the second highlighting target. "Administration of drug" is displayed in association with an arrow. The initial display of the treatment selection support screen 1401 shown in FIG. 1 is an example, and the present invention is not limited to this. For example, the output function 160 may display not only the combination of the treatment and the body to be highlighted, but also each treatment and the treated body of a similar patient who received the treatment in association with each other.

Further, the output function 160 may display more detailed information than the example shown in FIG. FIG. 12 is a diagram showing an example of displaying detailed information on the treatment selection support screen 1401 according to the present embodiment. The treatment selection support screen 1401 shown in FIG. 12 includes a first region 1401a in which the current condition of the patient to be treated and one or more treatments received by the similar patient and the condition of the similar patient after the treatment are displayed, and the treatment. Alternatively, it has a second region 1401b on which statistical information about the condition is displayed and a third region 1401c on which detailed information on similar patients is displayed.

The output function 160 displays, for example, the same contents as in FIG. 11 in the first area 1401a.

Further, in the output function 160, in the second region 1401b, the proportion of similar patients who recovered from the condition "2" to the condition "4" to the condition "1" which is the first highlighting target, and the condition "2". -Displays the ratio of each medication in similar patients who have recovered from the condition "4" to the condition "1" which is the first highlighting target. These statistical information are calculated by, for example, the second calculation function 158. The content of the statistical information displayed in the second region 1401b shown in FIG. 12 is an example, and is not limited to this.

In addition, the output function 160 displays detailed information about the similar patient who has recovered to the condition “1” which is the first highlighting target after the treatment in the third region 1401c. The detailed information is, for example, patient ID, main disease name, age, and gender, but is not limited thereto. Further, although FIG. 12 illustrates two similar patients, the output function 160 may display detailed information of all similar patients who have recovered to the condition “1” after treatment.

Further, FIG. 13 is a diagram showing an example of display change on the treatment selection support screen 1401 according to the present embodiment. The output function 160 is selected by the operator, as shown in FIG. 13, for example, when the reception function 152 receives an operation of an operator who selects one or a plurality of bodies displayed on the display 140. The body and the treatment received by one or more similar patients before reaching the body are displayed in association with each other.

Specifically, in the example shown in FIG. 13, the operator selects the body “2” displayed on the treatment selection support screen 1401 with a mouse or the like. In this case, the output function 160 has the condition "2" selected by the operator, the treatment "administration of anticoagulant" and "administration of diuretic" received by similar patients before reaching the condition "2". Is linked with an arrow and displayed. Further, in this case, the output function 160 displays "20" and "30", which are the breakdown of the number of patients received by similar patients who have become "2" after the treatment, together with the arrows. Of the similar patients who became "2" after treatment, the number of patients who received "administration of diuretics" was larger than that of patients who received "administration of anticoagulants", so the output function 160 is , "Administration of diuretic" and the condition "2" are displayed by associating them with a thick arrow as the first highlighting target. In addition, the output function 160 displays the “administration of the anticoagulant” and the condition “2”, which have the next largest number of similar patients, by associating them with a normal arrow as the target of the second highlighting.

Further, the output function 160 may change the display of the second region 1401b or the third region 1401c according to the body selected by the operator. Further, only the first region 1401a may be displayed on the treatment selection support screen 1401.

Further, FIG. 14 is a diagram showing another example of changing the display of the treatment selection support screen 1401 according to the present embodiment. The output function 160 includes, for example, the selected treatment and the selected treatment, as shown in FIG. 14, when the reception function 152 receives an operation of an operator who selects one or a plurality of treatments displayed on the display 140. The condition of a similar patient after receiving the treatment is linked and displayed.

Specifically, in the example shown in FIG. 14, the operator selects the treatment “administration of anticoagulant” displayed on the treatment selection support screen 1401 with a mouse or the like. In this case, the output function 160 displays the “administration of the anticoagulant” and the condition of a similar patient after the “administration of the anticoagulant” by linking them with an arrow. Further, when any treatment was selected by the operator, the output function 160 was selected as the number of similar patients who received the selected treatment (“65” in the example shown in FIG. 14). The breakdown of the number of similar patients after receiving treatment for each body (in the example shown in FIG. 14, body 1 “40”, body 2 “20”, body 3 “5”) is displayed with arrows.

The content displayed by the output function 160 is not limited to the examples shown in FIGS. 11 to 14. Further, the screen layout and highlighting display mode of the treatment selection support screen 1401 shown in FIGS. 11 to 14 are examples, and the present invention is not limited to these.

In addition, the output function 160 displays the selection screen of the patient list 1201 to be treated on the display 140. As described above, the operator selects one of the patients to be treated from the selection screen.

Next, the details of the flow of the treatment selection support process executed by the treatment selection support device 100 configured as described above will be described.

FIG. 15 is a flowchart showing an example of the flow of the treatment selection support process executed by the treatment selection support device 100 according to the present embodiment. Before the start of the processing of this flowchart, it is assumed that the acquisition function 151 acquires various information from the electronic medical record storage device 400 and stores it in the treatment target patient list 1201 and the medical record database 1202.

First, the reception function 152 accepts the selection of the patient to be treated by the operator (S1). The reception function 152 sends the patient ID of the selected patient to be treated to the extraction function 153 and the first specific function 154.

Next, the extraction function 153 extracts one or a plurality of similar patients similar to the treatment target patient selected by the operator from the medical record database 1202 (S2). The extraction function 153 sends the extracted patient IDs of one or more similar patients to the first specific function 154.

Next, the first specific function 154 identifies the pre- and post-treatment conditions of one or more similar patients based on the pre- and post-treatment test results obtained from the medical record database 1202 and the severity classification guideline 1203 (). S3). The first specific function 154 sends the combination of the treatment received by the similar patient and the condition of the similar patient after the treatment to the first calculation function 155 and the second calculation function 158 as a specific result.

In addition, the first specific function 154 identifies the current condition of the patient to be treated based on the test results before and after the treatment acquired from the medical record database 1202 and the severity classification guideline 1203 (S4). The first specific function 154 sends the current condition of the patient to be treated to the screen configuration function 159.

Next, the first calculation function 155 determines the degree of recovery of the similar patient before and after the treatment based on the condition of the similar patient before the treatment specified by the first specific function 154 and the condition of the similar patient after the treatment. Is calculated (S5). The first calculation function 155 associates the one or more treatments received by each similar patient with the degree of recovery of each similar patient before and after each of the one or more treatments, and the second specific function 156 and It is sent to the setting function 157.

Next, the second specific function 156 is a treatment in which the recovery degree of the similar patient is positive before and after the treatment among one or more treatments received by each similar patient, which contributes to the recovery of the similar patient. (S6). The second specific function 156 sends the specific result to the setting function 157.

The setting function 157 has a higher priority among one or more treatments received by a plurality of similar patients, as the frequency of recovery of the condition of the similar patients after receiving the treatment is higher. , Set the priority of treatment information (S7).

Next, the second calculation function 158 calculates the number of similar patients for each combination of the treatment specified by the first specific function 154 and the condition after the treatment (S8). The second calculation function 158 sends the calculated number of similar patients for each combination of the treatment and the condition after the treatment and the total number of similar patients to the screen configuration function 159 and the output function 160.

Next, the screen configuration function 159 determines the combination of the treatment and the condition to be highlighted in the initial display (S9).

For example, in the screen configuration function 159, the number of similar patients corresponding to the combination of the treatment received by the similar patient whose condition after treatment is better than the current condition of the patient to be treated and the condition of the similar patient after the treatment is The most common combination is determined as the first highlighting target in the initial display of the treatment selection support screen 1401. In addition, the screen configuration function 159 sets a combination of the body as the first highlighting target and the treatment other than the treatment of the first highlighting target in which the number of corresponding similar patients is other than “0”. Determined as the highlighting target of 2.

The screen configuration function 159 sends the determined combination of the treatment and the condition to be highlighted to the output function 160.

Next, the output function 160 displays the current condition of the patient to be treated, one or more treatments received by the similar patient, and the condition of the similar patient after the treatment on the display 140 as the treatment selection support screen 1401. (S10).

Further, as shown in FIG. 11, in the initial display of the treatment selection support screen 1401, the output function 160 shows the combination of the treatment and the condition of the first highlighting target determined by the screen configuration function 159 in a thick line. Display by linking with arrows. In addition, the output function 160 displays the combination of the treatment and the condition of the second highlighting target determined by the screen configuration function 159 in association with a normal line arrow.

Next, the reception function 152 determines whether or not the operation of the operator requesting the display of detailed information has been accepted (S11). When the reception function 152 determines that the operation requesting the display of detailed information has been accepted (S11 “Yes”), the reception function 152 sends the acceptance of the operation to the output function 160. In this case, as shown in FIG. 12, the output function 160 displays statistical information and detailed information of similar patients on the treatment selection support screen 1401 (S12). After the processing of S12, the process proceeds to the processing of S13.

If the reception function 152 determines that the operation requesting the display of detailed information is not accepted (S11 “No”), the reception function 152 proceeds to the process of S13 as it is.

Next, the reception function 152 determines whether or not the operator has accepted the body selection operation (S13). When the reception function 152 determines that the body selection operation by the operator has been accepted (S13 “Yes”), the reception function 152 sends the acceptance of the operation to the output function 160. In this case, as shown in FIG. 13, the output function 160 links and displays the body selected by the operator and the treatment received by a similar patient before reaching the body (S14). After the processing of S14, the process proceeds to the processing of S15.

If it is determined that the reception function 152 does not accept the body selection operation by the operator (S13 “No”), the reception function 152 proceeds to the process of S15 as it is.

Next, the reception function 152 determines whether or not the operator has accepted the treatment selection operation (S15). When the reception function 152 determines that the treatment selection operation by the operator has been accepted (S15 “Yes”), the reception function 152 sends the acceptance of the operation to the output function 160. In this case, as shown in FIG. 14, the output function 160 links and displays the treatment selected by the operator and the post-treatment condition of a similar patient who received the treatment (S16).

Further, when the reception function 152 determines that the body selection operation by the operator is not accepted (S15 “No”), the output function 160 does not change the screen display. At this point, the processing of this flowchart ends.

As described above, the treatment selection support device 100 of the present embodiment has one or more similarities based on the change in physical condition before and after one or more similar treatments received by one or more similar patients similar to the patient to be treated. Of the one or more treatments received by the patient, the one or more treatments that affected the change in condition are identified and output. Therefore, according to the treatment selection support device 100 of the present embodiment, there is a possibility that the condition of the treatment target patient may be affected by outputting the treatment that affects the change in the condition of the similar patient similar to the treatment target patient. Since it becomes possible for the doctor to easily grasp the high treatment, it is possible to assist the doctor in making a decision when selecting the treatment to be given to the patient.

For example, in the past, when a doctor selects a treatment to be given to a patient, he / she grasps the patient's condition based on medical knowledge and past experience, and then selects the treatment to be performed next. However, in such a method, the understanding of the patient's condition and the choice of treatment depend on the medical knowledge and experience of the individual doctor. For this reason, when selecting treatment for a patient, the medical knowledge and past experience of the individual doctor may cause omission in the treatment options available for the patient. In addition, inexperienced doctors may take a long time to investigate, examine, and make trial and error before selecting treatment, and it may take time to decide on treatment.

On the other hand, according to the treatment selection support device 100 of the present embodiment, among the treatments performed in the past, the treatments having a change in the condition of a patient similar to the treatment target patient are automatically identified and output. Therefore, it is possible to present treatments that the individual doctor has no medical knowledge or experience in the past as options, and it is possible to reduce omission of possible treatment options for the patient. Further, according to the treatment selection support device 100 of the present embodiment, it is possible to reduce the time and load required for the doctor to investigate, examine, and trial and error to select the treatment by the above-described configuration. Further, according to the treatment selection support device 100 of the present embodiment, the doctor or the like can grasp or avoid the high-risk treatment by outputting not only the treatment in which the condition of the similar patient is restored but also the treatment in which the condition is deteriorated. Can be facilitated.

In addition, the treatment selection support device 100 of the present embodiment calculates the degree of recovery of each of one or more similar patients before and after treatment based on the difference in the condition of one or more similar patients before and after treatment, and the recovery is performed. Based on the degree, one or more of the treatments received by one or more similar patients that contributed to the recovery of the condition is identified. In addition, the treatment selection support device 100 of the present embodiment outputs one or more treatments that have contributed to the recovery of the condition. Therefore, according to the treatment selection support device 100 of the present embodiment, the doctor can provide a treatment that is likely to contribute to the recovery of the condition of the patient to be treated by outputting the treatment that contributes to the recovery of the condition of the similar patient. Etc. can be grasped more easily.

Further, according to the treatment selection support device 100 of the present embodiment, among the treatments received by similar patients, the frequency of recovery of the condition of the similar patient after receiving the treatment is higher than that of the condition before receiving the treatment. The higher the priority, the higher the priority of the treatment, and the treatments are displayed on the display 140 in descending order of priority. Therefore, according to the treatment selection support device 100 of the present embodiment, the treatment that is likely to contribute to the recovery of the condition of the treatment target patient is preferentially displayed, and therefore it is recommended to apply it to the treatment target patient. The doctor can easily grasp the treatment.

Further, according to the treatment selection support device 100 of the present embodiment, since the condition of one or a plurality of similar patients after receiving one or a plurality of treatments is displayed on the display 140, the condition of the patient to be treated after the treatment is displayed. It can be easily estimated by the doctor.

Further, the treatment selection support device 100 of the present embodiment receives an operation of an operator who selects either one or a plurality of bodies displayed on the display 140, and reaches the body selected by the operator and the body. The treatment previously received by one or more similar patients is linked and displayed. Therefore, according to the treatment selection support device 100 of the present embodiment, when there is a target body of the patient to be treated, the doctor or the like can easily grasp the treatment candidate to be selected in order to become the body. Can be done.

Further, the treatment selection support device 100 of the present embodiment receives an operation of an operator who selects either one or a plurality of treatments displayed on the display 140, and receives the treatment selected by the operator and the treatment. After that, the condition of one or more similar patients is linked and displayed. Therefore, according to the treatment selection support device 100 of the present embodiment, when a doctor or the like is considering the implementation of a certain treatment, it is possible to easily grasp the change in the physical condition when the treatment is performed. For example, even a treatment that contributes to the recovery of the condition of some similar patients may not be effective in the recovery of the condition of some other patients. According to the treatment selection support device 100 of the present embodiment, by grasping the tendency of changes in the physical condition of similar patients after treatment, it can be used as a material for determining the selection of treatment to be given to the treatment target patient.

In addition, the treatment selection support device 100 of the present embodiment displays the proportion of similar patients who have reached each of the one or more bodies among the identified one or more similar patients on the display 140. Therefore, according to the treatment selection support device 100 of the present embodiment, the doctor should give priority to the patient to be treated by letting the doctor grasp the information on the rate of change of the similar patient to each body after the treatment. It can make it easier to determine treatment.

Further, the treatment selection support device 100 of the present embodiment displays one or more bodies and a breakdown of the number of similar patients who have reached the body for each treatment on the display 140 in association with each other. Therefore, according to the treatment selection support device 100 of the present embodiment, it is possible to present the treatment options to be given to the patient to be treated in order for the doctor or the like to reach the target body, together with the actual results.

In the present embodiment, the first specific function 154 specifies the body based on the severity classification guideline 1203, but the method for specifying the body is not limited to this. For example, the first specific function 154 may calculate the condition using the condition classification model generated by machine learning.

Further, on the treatment selection support screen 1401 of the present embodiment, all the treatments received by similar patients are displayed, but only the treatments that have contributed to recovery may be displayed. In other words, the output function 160 does not have to display the treatment in which the patient's condition has deteriorated and the treatment in which the patient's condition has not changed. For example, in the example shown in FIG. 11, the output function 160 may display only two treatments, "administration of anticoagulant" and "administration of diuretic".

Alternatively, the output function 160 may change the display mode so that the treatment that contributed to recovery, the treatment in which the patient's condition has deteriorated, and the treatment in which the patient's condition has not changed can be distinguished. Further, the output function 160 may prevent the operator from selecting the treatment in which the patient's condition has deteriorated or the treatment in which the patient's condition has not changed. The output function 160 may gray out, for example, a display indicating the treatment in which the patient's condition has deteriorated or the treatment in which the patient's condition has not changed on the treatment selection support screen 1401.

Further, when a plurality of treatments such as administration of a plurality of types of drugs are set as one set, the output function 160 may display the one set of treatments as one treatment on the treatment selection support screen 1401. ..

Further, in the present embodiment, the first specific function 154 specifies the condition before and after the treatment based on the treatment date and time registered in the medical record database 1202, but the criteria before and after the treatment are limited to this. It is not something that is done. For example, in the first specific function 154, the condition at the time of admission of a past patient may be specified as the condition before treatment, and the condition at the time of discharge may be specified as the condition after treatment. Alternatively, in the first specific function 154, the condition before the elapse of the unit time in consideration of the treatment period of the past patient may be specified as the pre-treatment condition, and the condition after the elapse of the unit time may be specified as the post-treatment condition. good.

(Second Embodiment)
In the first embodiment described above, patients whose age, sex, and disease name match those of the patients to be treated are extracted as similar patients. In this second embodiment, in addition to the extraction conditions of the first embodiment, the extraction conditions of similar patients are that the treatment received and the changes in physical condition are similar to those of the patient to be treated.

FIG. 16 is a block diagram showing an example of the configuration of the treatment selection support system S2 according to the present embodiment. The treatment selection support system S2 of the present embodiment includes the treatment selection support device 100 and the electronic medical record storage device 400 as in the first embodiment. The electronic medical record storage device 400 has the same function as that of the first embodiment.

The treatment selection support device 100 of the present embodiment has an NW interface 110, a storage circuit 120, an input interface 130, a display 140, and a processing circuit 150, as in the first embodiment.

The processing circuit 150 includes an acquisition function 151, a reception function 152, a first extraction function 1153, a first specific function 1154, a second extraction function 2153, a first calculation function 1155, and a second. It includes a specific function 156, a setting function 157, a second calculation function 158, a screen configuration function 159, and an output function 1160.

The acquisition function 151, the reception function 152, the second specific function 156, the setting function 157, the second calculation function 158, and the screen configuration function 159 have the same functions as those in the first embodiment.

The first extraction function 1153 extracts similar patient candidates from the medical record database 1202 by the same method as the method in which the extraction function 153 in the first embodiment extracts similar patients. In the present embodiment, the similar patient candidate is, but is not limited to, a patient whose age, sex, and disease name are similar to those of the patient to be treated. For example, a patient whose sample test result, vital data, medical image of a lesion, etc. are similar to the patient to be treated may be a candidate for a similar patient.

The first specific function 1154 of the present embodiment is provided with the functions of the first embodiment, and a plurality of similarities specified by the first extraction function 1153 from the medical records registered in the medical record database 1202. Identify the condition of each candidate patient for each predetermined period. The predetermined period is, for example, one day, but is not limited to this.

In addition, the first specific function 1154 identifies the condition of the patient to be treated for each predetermined period from the first day of medical treatment or the first day of hospitalization to the present.

FIG. 17 is a diagram showing an example of daily changes in the condition of the patient to be treated according to the present embodiment from the first day of hospitalization to the present. The condition of the patient to be treated shown in FIG. 17 was "4" on the first day of hospitalization, and then changed to "3".

Returning to FIG. 16, the second extraction function 2153 extracts, among the similar patient candidates extracted by the first extraction function 1153, patients whose treatment and physical changes are similar to those of the patient to be treated as similar patients. To do.

A similar patient in the present embodiment is a patient whose treatment and physical changes received are similar to those of the treatment and physical changes received by the patient to be treated. More specifically, in the similar patient in the present embodiment, among the similar patient candidates extracted by the first extraction function 1153, the change in the treatment and the condition received is the change in the treatment and the condition received by the patient to be treated. Similar patients.

For example, the second extraction function 2153 generates a state transition diagram (state transition model) such as a finite automaton based on the condition of the patient to be treated specified by the first specific function 1154 for each predetermined period.

FIG. 18 is a state transition diagram showing changes in the condition of the patient to be treated according to the present embodiment. Circles in the figure represent the patient's physical condition, and arrows represent transitions. The thick line circle represents the initial state, and the double line circle represents the acceptance state (end state). In the example shown in FIG. 18, the state transition diagram shows the changes in the condition of the patient to be treated shown in FIG. 17 from the condition “4” to the current condition “3”. In the second extraction function 2153, by inputting the daily condition of the similar patient candidate into the state transition diagram shown in FIG. 18, whether or not the change in the condition of the similar patient candidate is similar to the change in the condition of the patient to be treated. To judge.

FIG. 19 is a diagram showing an example of a method for identifying a change in the condition of a similar patient candidate according to the present embodiment. The upper part of FIG. 19 shows the condition of similar patient candidates for each predetermined period. The second extraction function 2153 inputs the condition of a similar patient candidate for each predetermined period into the state transition diagram shown in FIG.

The lower part of FIG. 19 shows the result of inputting the condition of a similar patient candidate for each predetermined period into the state transition diagram. As shown in the lower part of FIG. 19, since the patients with patient IDs “101” and “103” have changed from the condition “4” to the condition “3”, they are accepted by the state transition diagram shown in FIG. To. The second extraction function 2153 extracts the accepted patient from the similar patient candidates.

The second extraction function 2153 further determines whether or not the treatment received by the patient extracted from similar patient candidates using the state transition diagram is similar to the treatment received by the patient to be treated.

Specifically, the second extraction function 2153 receives the patient extracted from similar patient candidates during the period when the patient changes from the condition "4" to the condition "3" based on the medical record registered in the medical record database 1202. It is determined whether or not the treatment is consistent with the treatment received during the period when the patient to be treated changes from the condition "4" to the condition "3". The second extraction function 2153 is performed from the similar patient candidate when the treatment received by the patient extracted from the similar patient candidate during the physical condition change and the treatment received by the treated patient during the physical condition change match. It is judged that the treatment received by the extracted patient and the treatment received by the patient to be treated are similar, and the patient is extracted as a similar patient.

The second extraction function 2153 is received by the patient extracted from the similar patient candidates when the treatment received in the past by the patient extracted from the similar patient candidates and the treatment received in the past by the treatment target patient match. It may be judged that the treatment received is similar to the treatment received by the patient to be treated.

In addition, the second extraction function 2153 identifies the body in the acceptance state in the state transition diagram as the pre-treatment body among the bodies in each predetermined period, and treats it after the period in which it is in the acceptance state. The condition of the period after the treatment is specified as the condition after treatment.

For example, in the example shown in FIG. 19, since the patient with the patient ID “101” is in the acceptance state with the condition “3” on the second day, the second day is before the treatment. If the patient ID "101" is treated after the examination on the second day, the condition "2" on the third day becomes the condition after the treatment. In addition, since the patient with the patient ID "103" is in the acceptance state with the condition "3" on the second day, the third day is before the treatment. Further, for example, when the treatment is performed on the patient with the patient ID "103" on the 4th day, the condition "1" on the 5th day becomes the condition after the treatment.

In addition, the second extraction function 2153 sets the period from when the condition of the similar patient candidate satisfies the start condition of the state transition diagram (state “4” in the example of FIG. 18) to the acceptance state. The change in the condition of the patient is identified as a similar period similar to the change in the condition of the patient to be treated.

Further, in the above example, the second extraction function 2153 uses a state transition diagram to extract a patient whose physical condition is similar to that of the patient to be treated from similar patient candidates, but the extraction method is limited to this. It's not something. For example, the second extraction function 2153 searches for a patient who has been in the condition "4" among the calculation results of the condition of the similar patient candidate, and the condition "3" is further after the condition "4" from the search result. You may search for patients who have become ".

The first calculation function 1155 of the present embodiment has the functions of the first embodiment, and based on the pre- and post-treatment conditions specified by the second extraction function 2153, the pre- and post-treatment conditions of similar patients. Calculate the amount of change in.

The output function 1160 of the present embodiment includes the functions of the first embodiment, and includes the past conditions of the patient to be treated and similar patients, the treatment received by the patient to be treated and similar patients in the past, and the treatment target. The current condition of the patient, one or more treatments received by the similar patient, and the condition of the similar patient after the treatment are displayed (output) on the display 140.

FIG. 20 is a diagram showing an example of the initial display of the treatment selection support screen 11401 according to the present embodiment. Since the past condition and the treatment received in the past are common to the patient to be treated and the similar patient, the output function 1160 summarizes the past history of the patient to be treated and the similar patient as shown in FIG. To display. In the example shown in FIG. 20, the past condition of the patient to be treated and the similar patient is the condition at the time of admission, but the condition immediately before the treatment may be used. In addition, if the patient to be treated is not hospitalized, the condition at the time of the first outpatient examination may be used. The display example of FIG. 20 is an example, and the present invention is not limited to this.

Next, the details of the flow of the treatment selection support process executed by the treatment selection support device 100 configured as described above will be described.

FIG. 21 is a flowchart showing an example of a flow of treatment selection support processing executed by the treatment selection support device 100 according to the present embodiment.

The process of accepting the selection of the patient to be treated in S1 is the same as that in the first embodiment. Next, the first extraction function 1153 extracts one or a plurality of similar patient candidates having similar age, sex, and disease name to the treatment target patients selected by the operator from the medical record database 1202 (S201). ..

Next, the first specific function 1154 is provided with the functions of the first embodiment, and a plurality of similar patients identified by the first extraction function 1153 from the medical records registered in the medical record database 1202. The condition of each candidate for each predetermined period is specified (S202).

The specific treatment of the current condition of the patient to be treated with S4 is the same as in the first embodiment.

Next, the second extraction function 2153 extracts, among similar patient candidates, patients whose treatment and physical changes are similar to those of the patient to be treated as similar patients (S203). In addition, the second extraction function 2153 is, for example, the period immediately before the period in which the body is in the accepting state after the treatment in the state transition diagram among the bodies in the predetermined period. Identify the condition as a pretreatment condition.

Next, the first calculation function 155 determines the degree of recovery of the similar patient before and after the treatment based on the condition of the similar patient before the treatment and the condition of the similar patient after the treatment specified by the second extraction function 2153. Is calculated (S204).

The process is the same as in the first embodiment, from the specific treatment of the treatment in which the degree of physical recovery is positive before and after the treatment of S6 to the treatment of determining the combination of the treatment to be highlighted in S9 and the physical condition.

Next, the output function 1160 is the past condition of the treated patient and the similar patient, the treatment received in the past by the treated patient and the similar patient, the current condition of the treated patient, and 1 or the similar patient received. The plurality of treatments and the condition of a similar patient after the treatment are displayed on the display 140 as the treatment selection support screen 1401 (S205).

The first execution is from the process of determining whether or not the operation requesting the display of detailed information of S11 is accepted to the process of displaying the condition of the selected treatment of S16 and the similar patient who received the treatment after the treatment. Similar to form. At this point, the processing of this flowchart ends.

In this embodiment, one or more similar patients are patients whose treatment and physical changes received are similar to the treatment and physical changes received by the patient being treated. Therefore, according to the treatment selection support device 100 of the present embodiment, the doctor provides the treatment target patient with the treatment results of similar patients who have undergone a treatment course close to that of the treatment target patient in the past. It can be easier to choose a treatment.

In addition, the treatment selection support device 100 of the present embodiment includes the past conditions of the treatment target patient and one or more similar patients, the treatment received by the treatment target patient and one or more similar patients in the past, and the treatment target patient. The current condition of the patient, one or more treatments received by one or more similar patients, and the condition of one or more similar patients after treatment are displayed on the display 140. Therefore, according to the treatment selection support device 100 of the present embodiment, by displaying the past treatment history and changes in the physical condition of the patient to be treated and one or a plurality of similar patients, the doctor or the like can display the history up to the present. With that in mind, we can help you choose the right treatment.

Further, according to the treatment selection support device 100 of the present embodiment, the degree of the effect of the past treatment can be easily determined by displaying the treatment received by the treatment target person in the past and the condition before and after the treatment. It can be grasped and can help to quickly select the next treatment.

(Modification example 1)
In the first embodiment described above, the extraction function 153 extracts one or more similar patients similar to the patients to be treated from the medical record database 1202, but further limits the patients to be extracted as similar patients. You may.

For example, the extraction function 153 may extract one or more similar patients similar to the patient to be treated from the one or more patients in charge of the specific doctor from the medical record database 1202.

FIG. 22 is a diagram showing an example of the medical record database 1202 according to this modified example. As shown in FIG. 22, the medical record database 1202 contains information indicating the patient's physician. For example, the extraction function 153 may extract similar patients from the patients in charge of the doctor A in charge. The target doctor may be selectable by the operator on the display 140, for example.

According to the configuration of this variant, only one or more similar patients who are similar to the patient to be treated are extracted from one or more patients in charge of a specific doctor, so that only the treatment results of an experienced senior doctor are used. It can be displayed. Therefore, according to the treatment selection support device 100 of this modified example, it is supported that the doctor or the like who is the operator selects the treatment for the patient to be treated by referring to the past treatment results of the senior doctor who serves as a model. can do.

In addition, this modification may be applied not only to the first embodiment but also to the second embodiment.

(Modification 2)
In the first embodiment and the second embodiment described above, the operator operates the treatment selection support device 100, but the treatment selection support device 100 executes the process according to the operation input from the other terminal device. It may be something to do.

FIG. 23 is a block diagram showing an example of the configuration of the treatment selection support system S3 according to this modified example. As shown in FIG. 23, the treatment selection support system S3 of this modified example includes a treatment selection support device 100, an electronic medical record storage device 400, and a terminal device 500.

The terminal device 500 is, for example, a tablet terminal, a personal computer, or the like. The terminal device 500 is connected to the treatment selection support device 100 and the electronic medical record storage device 400 via the network 300.

The terminal device 500 includes an input circuit and a display (not shown). The input circuit converts the input operation received from the operator into an electric signal and outputs it to the treatment selection support device 100.

The display of the terminal device 500 displays various data output from the treatment selection support device 100. For example, the display of the terminal device 500 displays the treatment selection support screen 1401 output by the output function 160 of the treatment selection support device 100.

According to at least one embodiment described above, it is possible to assist a doctor in making a decision when choosing a treatment to be given to a patient.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, as well as in the scope of the invention described in the claims and the equivalent scope thereof.

100 Treatment selection support device 120 Storage circuit 140 Display 150 Processing circuit 151 Acquisition function 152 Reception function 153 Extraction function 154,1154 First specific function 155, 1155 First calculation function 156 Second specific function 157 Setting function 158 Second Calculation function 159 Screen configuration function 160, 1160 Output function 300 Network 1153 First extraction function 2153 Second extraction function 1201 Treatment target patient list 1202 Medical record database 1203 Severity classification guideline 1401, 11401 Treatment selection support screen S1 to S3 Treatment selection support system

Claims (10)

An extraction unit that extracts one or more similar patients similar to the patient to be treated from medical records that are records related to one or more treatments and tests received by a plurality of patients in the past.
From the medical record, a first specific part that identifies the condition of each of the one or more similar patients before and after the one or more treatments received by the one or more similar patients.
The one or more received by the one or more similar patients based on the change before and after the one or more treatments of each condition of the one or more similar patients identified by the first specific part. Of the treatments of the above, a second specific part identifying one or more treatments that affected changes in the condition of any one or more similar patients.
An output unit that outputs the one or more treatments specified by the second specific unit, and
Treatment selection support device equipped with. A calculation unit for calculating the degree of recovery of each of the one or more similar patients before and after the treatment based on the difference in the condition of the one or more similar patients before and after the treatment is further provided.
The second specific part is for recovering the condition of the one or more similar patients among the one or more treatments received by the one or more similar patients based on the degree of recovery and the medical record. Identify one or more treatments that have contributed,
The output unit outputs one or more treatments that have contributed to the recovery of the condition of the one or more similar patients.
The treatment selection support device according to claim 1. Of the one or more treatments received by the one or more similar patients, the greater the number of the one or more similar patients whose condition has recovered after receiving the treatment, the higher the priority of the treatment. As described above, a setting unit for setting the priority for each of the one or more treatments is further provided.
The output unit displays the one or more treatments on the display unit in descending order of priority.
The treatment selection support device according to claim 1 or 2. The output unit further displays on the display unit the condition of the one or more similar patients after receiving the one or more treatments.
The treatment selection support device according to claim 3. Further provided, a reception unit that accepts an operation of an operator who selects either one or a plurality of objects displayed on the display unit.
The output unit links and displays the body selected by the operator and the treatment received by the one or more similar patients before reaching the body.
The treatment selection support device according to claim 4. Further provided, a reception unit for receiving an operation of an operator for selecting one or a plurality of the treatments displayed on the display unit.
The output unit links and displays the treatment selected by the operator and the condition of the one or more similar patients after receiving the treatment.
The treatment selection support device according to claim 4 or 5. The output unit displays on the display unit the proportion of similar patients who have reached each of the one or more bodies among the one or more similar patients identified by the first specific unit.
The treatment selection support device according to any one of claims 4 to 6. The output unit displays on the display unit in association with the one or more bodies and the breakdown of the number of the one or more similar patients who have reached the body for each of the one or more treatments.
The treatment selection support device according to any one of claims 4 to 7. The one or more similar patients are patients whose treatment and physical changes received are similar to the treatment and physical changes received by the treated patient.
The treatment selection support device according to any one of claims 1 to 8. The output unit includes the past conditions of the treatment target patient and the one or more similar patients, the treatment received in the past by the treatment target patient and the one or more similar patients, and the current state of the treatment target patient. The body, one or more treatments received by the one or more similar patients, and the body of the one or more similar patients after the treatment are displayed on the display unit.
The treatment selection support device according to claim 9.

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