JP7198959B1 - Information processing method, computer program and information processing device - Google Patents

Abstract

An information processing method, a computer program, and an information processing apparatus that are expected to support analysis of healthcare data are provided. In an information processing method according to an embodiment, an information processing device acquires healthcare data, acquires information on the usage status of a product related to healthcare from the acquired healthcare data, and acquires the information. A keyword related to the usage status is acquired from the natural language information included in the healthcare data obtained, and the usage status and the keyword are output in association with each other. The product is a pharmaceutical, the healthcare data includes information on prescription of the pharmaceutical, the information processing device determines the prescription status of the pharmaceutical for each patient from the healthcare data, Based on the prescription status of the drug in units, the prescription status for each drug or for each efficacy of the drug may be aggregated, and the aggregated prescription status and the keyword may be output in association with each other. [Selection drawing] Fig. 4

Description

The present invention relates to an information processing method, a computer program, and an information processing apparatus for performing information processing related to healthcare.

In recent years, due to advances in technologies such as data analysis and AI (Artificial Intelligence), utilization of so-called big data has attracted attention. Big data related to healthcare includes, for example, data such as receipt data, DPC data, and electronic medical record data.

In Patent Document 1, an input layer that converts a one-hot vector that expresses terms of receipt data into a hidden vector of another dimension by an input layer matrix as an input vector, and a hidden vector that is the same as a one-hot vector by an output layer matrix Using a model having an output layer that converts to a dimensional output vector, update the input layer matrix and the output layer matrix so that the logarithmic probability value of another term that co-occurs with the term of the receipt data is increased, and the term expression A matrix is generated to generate an expression vector for each term, and if the degree of similarity between the expression vector of a term belonging to a specific classification calculated from the classification information and the expression vector of each term is greater than or equal to a predetermined threshold, the term is added to the classification. Healthcare data analyzers have been proposed that additionally generate extended classification information.

Japanese Patent Application Laid-Open No. 2021-22186

Examples of products related to health care include pharmaceuticals. Pharmaceutical companies that manufacture and sell pharmaceuticals use big data related to healthcare to analyze, for example, the market share of their own products or the sales status of competing products, and use the analysis results to promote sales of their own products. is expected.

The present invention has been made in view of such circumstances, and its object is to provide an information processing method, a computer program, and an information processing apparatus that can be expected to support analysis of healthcare data. It is in.

In an information processing method according to an embodiment, an information processing device acquires healthcare data including information on prescription of a drug, determines the prescription status of the drug for each patient from the acquired healthcare data, Based on the prescription status of the drug for each patient, the prescription status for each drug or for each efficacy of the drug is aggregated, and from the natural language information included in the acquired healthcare data, related to the prescription status A keyword is acquired, and the tabulated prescription status and the keyword are output in association with each other, and the prescription status includes a change from another drug to the drug and a change from the drug to another drug.

According to one embodiment, it can be expected to assist in the analysis of healthcare data.

1 is a schematic diagram for explaining an overview of an information processing system according to an embodiment; FIG. 1 is a block diagram showing the configuration of an information processing apparatus according to an embodiment; FIG. 4 is a flow chart showing the procedure of processing performed by the information processing apparatus according to the embodiment; FIG. 4 is a schematic diagram showing a display example of an analysis screen displayed by the information processing apparatus according to the present embodiment; FIG. 4 is a schematic diagram showing a display example of an analysis screen displayed by the information processing apparatus according to the present embodiment;

A specific example of an information processing system according to an embodiment of the present invention will be described below with reference to the drawings. The present invention is not limited to these examples, but is indicated by the scope of the claims, and is intended to include all modifications within the scope and meaning equivalent to the scope of the claims.

<System Overview>
FIG. 1 is a schematic diagram for explaining an outline of an information processing system according to this embodiment. In the information processing system according to the present embodiment, a doctor or the like prescribes a drug to a patient at one or more medical facilities such as a hospital, and data related to this prescription record is sent from the computer or the like of each medical facility to the server device 3. sent. The server device 3 according to the present embodiment has a medical DB (database) 3a for recording data related to healthcare, receives data transmitted from each hospital, and records and accumulates the data in the medical DB 3a. .

In this embodiment, healthcare data accumulated in the medical DB 3a may include, for example, receipt data, DPC (Diagnosis Procedure Combination) data, electronic medical record data, and the like. Receipt data is a statement of medical fees, and includes information such as the name of the patient's injury or disease, medical treatment performed by the medical facility, and information on the amount billed for each medical treatment. In each medical facility, rezept data is created for each patient, for example, once a month, and transmitted to the server device 3 . DPC data is nationwide standardized data of medical information, and is data composed of a plurality of files such as Form 1, E file, F file, D file, and H file. These multiple files of DPC data may contain various information such as patient gender, date of birth, date of admission and discharge, disease name and surgery information, for example. The electronic medical record data is data written (inputted) by a doctor or the like regarding details of a patient's diagnosis, test results, prescribed medicines, progress after medical examination, and the like.

In the present embodiment, the receipt data and the DPC data are so-called structured data, which are data shaped so that the type and arrangement of included data have a predetermined structure. On the other hand, in the present embodiment, the electronic medical record data is unstructured data, and is natural language data including information such as sentences input by a doctor or the like.

The server device 3 records health care data including receipt data, DPC data, electronic medical record data, etc. created in the medical facility in the medical DB 3a, and transmits the recorded health care data in response to a request from the information processing device 1. Provide accordingly. The information processing device 1 is, for example, a device used by a user who performs analysis related to pharmaceutical marketing in a pharmaceutical company or the like. An application program for using the information processing system according to the embodiment is installed. Further, the information processing device 1 may be a virtual information processing device built in a cloud environment, for example. The same applies to the server device 3 as well.

The information processing device 1 communicates with the server device 3 via the network at a predetermined cycle such as once a day, once a week, or once a month, or in response to an operation by the user. to acquire healthcare data recorded in the medical DB 3 a of the server device 3 . The information processing device 1 aggregates information such as receipt data or DPC data included in the acquired health care data, for example, to obtain information such as chronological changes in prescription amounts of pharmaceuticals, or the market share of proprietary pharmaceuticals and competing pharmaceuticals. etc. are visualized in a graph or the like and provided to the user. In the present embodiment, data is aggregated and analyzed for each drug, but the present invention is not limited to this. For example, data may be aggregated and analyzed for each efficacy of the drug.

Further, the information processing apparatus 1 according to the present embodiment extracts keywords related to drug prescription from natural language data such as sentences written by a doctor or the like based on, for example, electronic medical record data included in acquired healthcare data. is extracted, and one or more extracted keywords are presented to the user in association with the usage status (prescription status) of the drug. In the present embodiment, the drug use status includes, for example, a new prescription for a patient, a prescription of a company's own drug for a patient previously prescribed a competing drug, and a discontinuation of a drug prescription for a patient. , a competing drug is prescribed to a patient for whom an in-house drug was prescribed, and a change (increase or decrease) in the amount of drug prescribed to a patient. For example, for a usage situation in which a competing drug is prescribed to a patient to whom the company's own drug was prescribed, the information processing apparatus 1 extracts and displays keywords from the electronic medical chart data corresponding to this situation, thereby allowing the user It can be expected to analyze the causes of switching from in-house drugs to competing drugs.

<Device configuration>
FIG. 2 is a block diagram showing the configuration of the information processing device 1 according to this embodiment. The information processing apparatus 1 according to the present embodiment includes a processing unit 11, a storage unit (storage) 12, a communication unit (transceiver) 13, a display unit (display) 14, an operation unit 15, and the like. The information processing device 1 according to the present embodiment can be configured using a general-purpose information processing device such as a personal computer or a tablet terminal device. In this embodiment, one information processing apparatus 1 performs the processing, but a plurality of information processing apparatuses may perform the processing in a distributed manner.

The processing unit 11 includes an arithmetic processing unit such as a CPU (Central Processing Unit), an MPU (Micro-Processing Unit), a GPU (Graphics Processing Unit) or a quantum processor, a ROM (Read Only Memory) and a RAM (Random Access Memory). It is configured using The processing unit 11 reads out and executes the program 12a stored in the storage unit 12, thereby acquiring the healthcare data recorded in the medical DB 3a of the server device 3, and extracting pharmaceuticals from the acquired healthcare data. Various processes such as extracting the usage status and related keywords are performed.

The storage unit 12 is configured using, for example, a large-capacity storage device such as a hard disk. The storage unit 12 stores various programs executed by the processing unit 11 and various data required for processing by the processing unit 11 . In the present embodiment, the storage unit 12 stores a program 12a executed by the processing unit 11. FIG. The storage unit 12 is also provided with a healthcare data storage unit 12b that stores healthcare data acquired from the medical DB 3a of the server device 3 .

In the present embodiment, the program (computer program, program product) 12a is provided in a form recorded in a recording medium 99 such as a memory card or an optical disk, and the information processing apparatus 1 reads out the program 12a from the recording medium 99 and stores it in the storage unit. 12. However, the program 12a may be written in the storage unit 12 at the manufacturing stage of the information processing device 1, for example. Further, for example, the program 12a may be distributed by a remote server device or the like and acquired by the information processing device 1 through communication. For example, the program 12 a may be recorded in the recording medium 99 and read by a writing device and written in the storage unit 12 of the information processing device 1 . The program 12 a may be provided in the form of distribution via a network, or may be provided in the form of being recorded on the recording medium 99 .

The healthcare data storage unit 12b temporarily or permanently stores the healthcare data acquired by the information processing device 1 from the medical DB 3a of the server device 3, as required. Further, the information processing apparatus 1 does not store the healthcare data itself in the healthcare data storage unit 12b, but rather various information extracted from the healthcare data, or information generated based on the extracted information. may be stored.

The communication unit 13 communicates with various devices via a network N including the Internet, a LAN (Local Area Network), a mobile phone communication network, or the like. In the present embodiment, the communication unit 13 communicates via the network N with one or more server devices 3 having the medical DB 3a. The communication unit 13 transmits the data given from the processing unit 11 to other devices, and gives the data received from the other devices to the processing unit 11 .

The display unit 14 is configured using a liquid crystal display or the like, and displays various images, characters, etc. based on the processing of the processing unit 11 . The operation unit 15 receives a user's operation and notifies the processing unit 11 of the received operation. For example, the operation unit 15 receives a user's operation using an input device such as mechanical buttons or a touch panel provided on the surface of the display unit 14 . Further, for example, the operation unit 15 may be an input device such as a mouse and a keyboard, and these input devices may be detachable from the information processing apparatus 1 .

Further, in the information processing apparatus 1 according to the present embodiment, the processing unit 11 reads out and executes the program 12a stored in the storage unit 12, whereby the healthcare data acquisition unit 11a, the usage information acquisition unit 11b, the keyword The acquisition unit 11c, the display processing unit 11d, and the like are implemented in the processing unit 11 as software functional units. In this figure, as functional units of the processing unit 11, functional units related to processing for supporting analysis of healthcare data are illustrated, and functional units related to other processing are omitted.

The healthcare data acquisition unit 11a communicates with the server device 3 through the communication unit 13 to perform processing for acquiring healthcare data recorded in the medical DB 3a by the server device 3 . The healthcare data acquisition unit 11a sends healthcare data to the server device 3 at predetermined intervals, such as once a day, once a week, or once a month, or in response to a user's operation. The health care data is obtained by requesting transmission and receiving the health care data transmitted by the server device 3 in response to this request by the communication unit 13 . The healthcare data acquisition unit 11a stores the acquired healthcare data in the healthcare data storage unit 12b.

The usage status information acquisition unit 11b performs a process of acquiring information on the usage status of one or more medicines based on the healthcare data acquired by the healthcare data acquisition unit 11a. In the present embodiment, the usage information acquisition unit 11b extracts information about one patient to whom the target drug is prescribed based on, for example, the receipt data and DPC data included in the healthcare data, Acquire information such as the prescription date and prescription amount of the target drug. The usage status information acquisition unit 11b similarly acquires information such as prescription dates and prescription amounts for all patients to whom the target drug is prescribed. Next, the usage status information acquisition unit 11b determines the usage status of each patient to whom the target drug was prescribed. In this embodiment, which of the following usage conditions (1) to (4) applies to each patient is determined based on information such as the prescription date and prescription amount of the target drug obtained from healthcare data. is determined by the usage information acquisition unit 11b.

(1) New prescription: When this drug is newly prescribed to a patient to whom the target drug has not been prescribed.
(2) Switching from a competing drug: when the target drug is prescribed to a patient who was prescribed a competing drug.
(3) Prescription discontinuation (withdrawal): When the prescription of this drug is discontinued for a patient to whom the target drug was prescribed.
(4) Competitor switch: When a competing drug is prescribed to a patient for whom the subject drug was prescribed.

Furthermore, the usage status information acquisition unit 11b adds the following two usage statuses (5) and (6) to the above four usage statuses (1) to (4) to obtain a total of six usage statuses. You may determine whether each patient corresponds about.
(5) Dose increase: When the prescription amount of this drug is increased for a patient to whom the target drug was prescribed.
(6) Reduced dose: When the prescribed amount of this drug is reduced for a patient to whom the target drug was prescribed.

The usage status determined by the usage status information acquisition unit 11b is not limited to the above (1) to (6), and may be any status. The usage status information acquisition unit 11b stores information such as the result of determination as to which costume status each patient corresponds to, and the total number of patients corresponding to each usage status, as usage status information in the healthcare data storage unit. 12b.

The keyword acquisition unit 11c acquires keywords related to each of the usage conditions determined by the usage condition information acquisition unit 11b based on the electronic medical record data included in the healthcare data acquired by the healthcare data acquisition unit 11a. process. In the information processing system according to the present embodiment, identification information such as a patient ID is uniquely attached to each patient, and the receipt data, DPC data, and electronic medical record data included in the healthcare data are based on the patient ID. are tied together. For example, the keyword acquisition unit 11c acquires information such as the patient ID of a patient corresponding to a certain usage status from the receipt data or DPC data included in the healthcare data, and extracts the electronic medical record data to which the acquired patient ID is attached. . The keyword acquisition unit 11c extracts one or more keywords from natural language data such as sentences written in the extracted electronic medical record data.

The extraction of keywords from the natural language data by the keyword acquisition unit 11c may be performed by any method. For example, the keyword acquisition unit 11c extracts words or short sentences that are candidates for keywords by performing syntactic analysis, morphological analysis, and/or lexical analysis on sentences of the electronic medical record data, and extracts these candidate electronic It is possible to measure the frequency of appearance or the number of times of appearance in the medical record data, and finally extract as keywords the top several candidates with high appearance frequency or the candidates whose number of appearances exceeds a threshold.

Further, for example, the keyword acquisition unit 11c may acquire keywords from electronic medical record data using a machine learning model that performs prior language processing, ie, so-called AI (Artificial Intelligence). Transformer, BERT (Bidirectional Encoder Representations from Transformers), GPT-3 (Generative Pre-trained Transformer-3), etc. are adopted as machine learning models. Machine learning is performed in advance so as to output keywords related to the usage of .

The keyword acquisition unit 11c acquires keywords from the electronic medical record data of all applicable patients for the above plurality of usage situations. The keyword acquisition unit 11c aggregates, for example, how many patients' electronic medical chart data each keyword is included in, for a plurality of acquired keywords. The keyword acquisition unit 11c stores the keywords acquired from the electronic medical record data in the healthcare data storage unit 12b in association with the usage status, and stores information such as the results of counting the keywords in the healthcare data storage unit 12b. can be done.

The display processing unit 11 d performs processing for displaying various information such as images and characters on the display unit 14 . In the present embodiment, the display processing unit 11d displays, for example, the usage status acquired by the usage status information acquisition module 11b and the keyword acquired by the keyword acquisition module 11c in association with each other. In addition, the display processing unit 11d may display information such as changes in prescription amounts of medicines or information such as share of the company's medicines in a graph.

<Healthcare data analysis support processing>
The information processing apparatus 1 according to the present embodiment updates healthcare data recorded in the medical DB 3a of the server device 3 at a predetermined cycle such as once a day, once a week, or once a month. Perform the processing to acquire. The period for acquiring healthcare data may be set by the user or predetermined by the designer of the system. Further, the information processing apparatus 1 may acquire healthcare data according to user's operation instead of the predetermined period. The information processing apparatus 1 may acquire only the healthcare data recorded after the point of time when it was acquired last time, that is, the difference data, among the healthcare data recorded in the medical DB 3a. Further, the information processing device 1 may extract and acquire health care data related to pharmaceuticals to be analyzed by the user, for example.

In the information processing system according to the present embodiment, the health care data recorded in the medical DB 3a includes receipt data and/or DPC data, and electronic medical record data. In the present embodiment, the receipt data and DPC data include identification information such as a patient ID that identifies a patient, identification information such as the name of a drug prescribed for this patient or a drug ID, and the year that this drug was prescribed. The date and the prescribed amount of this medicine are stored in association with each other. The receipt data and the DPC data may contain various information other than these. The patient identification information, the drug identification information, the prescription date, and the correspondence information of the prescription amount are extracted to generate structured data, which is used in subsequent processing. The structured data may be generated by another device such as the server device 3 instead of the information processing device 1 .

The information processing device 1 that has generated the above-described structured data from the receipt data or DPC data included in the healthcare data acquired from the server device 3 combines the currently generated structured data with the health data acquired in the past (at least the previous time). Based on the structured data generated from the care data, the usage status of the drug to be analyzed is determined for each patient. For example, the information processing device 1 may store past structured data in the healthcare data storage unit 12b, and generate past structured data from the past healthcare data stored in the healthcare data storage unit 12b. You may Further, for example, the information processing device 1 may generate structured data based on currently acquired health care data and stored past health care data, and the health care data including the past may be stored in the server. It may be acquired from the device 3 to generate structured data. Information processing apparatus 1 according to the present embodiment, based on these structured data, each patient included in the healthcare data is the use status of the above (1) to (4) or (1) to (6) Determine which of the following applies.

(1) New prescription The information processing apparatus 1, for example, for a patient for whom neither the target drug nor the competing drug of this drug was prescribed in the past, when the target drug is newly prescribed, of drug use can be determined as “new prescription”. The information processing apparatus 1 can also determine the usage status as "new prescription" even when the target drug is prescribed to a newly registered patient, for example.

(2) Switching from competition The information processing device 1, for example, for a patient to whom a competing drug of the target drug was prescribed in the past, the prescription of this competing drug is discontinued and the target drug is newly prescribed. If so, the subject drug usage for this patient can be determined to be "switched from competitor".

(3) Prescription discontinuation The information processing device 1, for example, for a patient to whom the target drug was prescribed in the past, when the prescription of the target drug is discontinued and no competing drug is prescribed for the target drug , it is possible to determine the use status of the target drug for this patient as "prescription discontinued".

(4) Switching to Competing The information processing device 1, for example, for a patient to whom the target drug was prescribed in the past, when the prescription of the target drug is discontinued and a new competing drug is prescribed, this For a patient, the subject drug usage can be determined as "switching to competitor."

(5) Increased amount The information processing device 1, for example, for a patient to whom the target drug was prescribed in the past, is currently prescribed the same drug, and if the prescribed amount is increased compared to the previous time, For this patient, the usage status of the target drug can be determined as "increase".

(6) Weight reduction The information processing device 1, for example, for a patient to whom the target pharmaceutical was prescribed in the past, is currently prescribed the same pharmaceutical, and if the prescribed amount is reduced compared to the previous time, For this patient, the usage status of the target drug can be determined to be "reduced".

In the information processing system according to the present embodiment, it is assumed that the pharmaceuticals to be analyzed are set in the information processing apparatus 1 in advance by the user. Competing drugs may be set in advance by the user, for example, or, for example, drugs other than the drug to be analyzed may be treated as competing drugs. Further, for example, the information processing apparatus 1 may hold list information of drugs with the same efficacy, and other drugs with the same efficacy as the drug to be analyzed may be used as competing drugs.

By performing the above processing by the information processing device 1, each patient included in the receipt data or DPC data is classified into the usage status of (1) to (4) or (1) to (6) above. becomes. However, in the information processing system according to the present embodiment, there may be a patient whose drug use status does not correspond to any of the above (1) to (6). For example, if the same drug is currently prescribed to a patient who has been prescribed the target drug in the past, and the prescribed amount is the same as the previous time, this patient is any of the above (1) to (6). does not apply to For such a patient, the information processing apparatus 1 may, for example, exclude this patient from subsequent processing, may set the usage status to "others", or may set the status of use to "maintain the status quo" for example. usage may be assigned.

Next, the information processing apparatus 1 extracts electronic medical chart data corresponding to each patient classified into a plurality of usage conditions from the health care data acquired this time. For example, the information processing device 1 selects one patient from the patients classified as "new prescription", acquires identification information such as a patient ID for this patient from the structured data, and obtains identification information that is the same as the acquired identification information. The electronic medical record data with identification information is extracted from the health care data acquired this time. The information processing apparatus 1 similarly acquires electronic medical record data for other patients classified as "new prescription", and also for other usage conditions such as "switching from competition" and "prescription discontinuation". Acquire electronic medical record data. Note that when there are multiple pieces of electronic medical record data for one patient in the health care data acquired this time, the information processing apparatus 1 may acquire, for example, the newest electronic medical record data. You may acquire chart data.

For the same patient, the patient ID included in the health care data and the patient ID included in the electronic medical chart data do not need to match completely. For example, when the patient ID is represented by a numerical value, the number of digits of the numerical value may be different between the patient ID of healthcare data and the patient ID of electronic medical record data. In this case, the information processing apparatus 1 may determine whether or not the patient is the same patient by performing an operation or the like to appropriately align the number of digits. Also, for example, when the patient ID is represented by a character string and a numerical value, the numerical value may be the same, but part or all of the character string may be different. In this case, the information processing apparatus 1 may appropriately replace or delete part or all of the character strings and compare the patient IDs. The information processing apparatus 1 stores in advance conditions, arithmetic expressions, or the like for determining whether or not the patients are the same patient based on the patient ID. The information processing device 1 may have, for example, a table that stores the correspondence between the patient ID of healthcare data and the patient ID of electronic medical record data for each patient.

The electronic medical record data of the information processing system according to the present embodiment includes identification information such as a patient ID that identifies a patient, and natural language data such as diagnostic results or comments in sentences entered by a doctor or the like for this patient. and are included. The information processing apparatus 1 according to the present embodiment extracts, for example, a plurality of words or short sentences that are keyword candidates from the natural language data of the electronic medical record data, and the frequency or number of times each extracted candidate appears in the electronic medical record data. is measured, and a plurality of candidates with high frequencies or times are extracted as final keywords.

The information processing apparatus 1 extracts keywords from the electronic medical record data for each patient, and totalizes the keywords for each usage situation. For example, the information processing device 1 counts how many patients' electronic medical chart data contain each keyword extracted from the electronic medical chart data of patients classified as "new prescription". The information processing apparatus 1 similarly aggregates keywords for other usage situations such as "switching from competition" and "stopping prescription". The information processing apparatus 1 collectively displays the keyword and the aggregated result of the keyword for each patient's usage status on the display unit 14 for the target medicine.

FIG. 3 is a flow chart showing the procedure of processing performed by the information processing apparatus 1 according to the present embodiment. The healthcare data acquisition unit 11a of the processing unit 11 of the information processing apparatus 1 according to the present embodiment acquires healthcare data stored in the medical DB 3a by, for example, periodically communicating with the server device 3. (Step S1). In this step S1, the healthcare data acquisition unit 11a may acquire only the healthcare data stored in the medical DB 3a after the previous acquisition of healthcare data. The healthcare data acquisition unit 11a stores the healthcare data acquired in step S1 in the healthcare data storage unit 12b of the storage unit 12 (step S2). The healthcare data acquisition unit 11a may extract necessary information from the acquired healthcare data and store it in the healthcare data storage unit 12b. It may be stored in the healthcare data storage unit 12b.

The usage information acquisition unit 11b of the processing unit 11 acquires the receipt data and/or the DPC data from the healthcare data acquired in step S1 (step S3). The usage information acquisition unit 11b extracts patient identification information, drug identification information, prescription date and prescription amount correspondence information from the acquired receipt data and/or DPC data, and generates structured data (step S4). The usage information acquisition unit 11b selects a drug to be analyzed for each patient based on the structured data generated from the health care data acquired this time and the structured data generated from the health care data acquired previously. is determined (step S5). Based on the drug use status of each patient determined in step S5, the use status information acquisition unit 11b aggregates the use status of a plurality of patients who used the drug (step S6).

The keyword acquisition unit 11c of the processing unit 11 acquires electronic medical record data from the healthcare data acquired in step S1 (step S7). The keyword acquisition unit 11c extracts one or more keywords from the natural language data included in the electronic medical chart data acquired in step S7 (step S8). At this time, the keyword acquisition unit 11c can extract, as keywords, several high-ranking keywords with high frequency of appearance for one piece of electronic medical record data, for example. The keyword acquisition unit 11c aggregates the keywords extracted in step S8 for each drug usage situation aggregated in steps S3 to S6 (step S9). For example, the keyword acquisition unit 11c can count and rank the number of extractions of each keyword for each usage status of medicines.

The processing unit 11 associates the usage status and the keyword acquired from the healthcare data and stores them in the healthcare data storage unit 12b (step S10). The display processing unit 11d of the processing unit 11 displays, on the display unit 14, an analysis screen showing, for example, the usage status and the correspondence between the keywords in a tabular form (step S11), and ends the processing.

FIG. 4 is a schematic diagram showing a display example of an analysis screen displayed by the information processing apparatus 1 according to the present embodiment. The information processing apparatus 1 according to the present embodiment performs processing for displaying, on the display unit 14, an analysis screen summarizing the usage status and keyword information regarding the drug to be analyzed based on the healthcare data recorded in the medical DB 3a. . In the illustrated analysis screen, the information processing apparatus 1 displays, for example, a title character string "analysis of usage status of drug A" at the top of the screen of the display unit 14, and "usage status" and "keyword" below the title character string. are shown in tabular form. "Medicine A" included in the title string is, for example, identification information such as the name or ID of the drug set by the user as the drug to be analyzed, and can be changed according to user settings.

In the illustrated analysis screen, the information processing apparatus 1 handles four types of "use status": "new prescription", "switching from competition", "discontinuation of prescription", and "switching to competition". The information processing device 1 displays the number of corresponding patients and a list of a plurality of keywords extracted from the electronic medical record data of these patients in association with each usage situation. Further, for example, the information processing apparatus 1 arranges and displays a plurality of keywords extracted from electronic medical record data of a plurality of patients from top to bottom in descending order of the number of applicable patients.

In the illustrated example, it is shown that the number of applicable patients is 123 with respect to the usage status of "new prescription". In addition, from the electronic medical record data of patients with "new prescription", the keywords "hormone therapy effect weakening" were extracted for 36 patients, the keywords "tumor growth" were extracted for 15 patients, and the keywords "hot flashes" were extracted for 15 patients. It is shown that the keyword "strengthening" was extracted for 9 patients.

Similarly, for the usage of "switch from competition", the number of applicable patients is shown to be 87. In addition, from the electronic medical record data of patients "switching to competitors", the keyword "progress to stage 3" was extracted for 17 patients, and the keyword "expecting improvement in hair loss" was extracted for 11 patients. , the keywords “resistance development” were extracted for 6 patients.

Similarly, it is shown that the number of patients corresponding to the use of "prescription discontinued" is 71 patients. In addition, from the electronic medical record data of patients who "discontinued prescription", the keyword "progress to stage 4" was extracted for 11 patients, the keyword "hair loss" was extracted for 9 patients, and the keyword "due to moving" was extracted for 9 patients. It is shown that the keyword "change of address" was extracted for four patients.

Similarly, for the usage status of "switch to competitor", the number of applicable patients is shown to be 103. In addition, from the electronic medical record data of patients "switching to competitors", the keywords "progress to stage 4" were extracted for 22 patients, and the keywords "hair loss" were extracted for 13 patients. It is shown that the keyword "change of address due to moving" was extracted for three patients.

By displaying such an analysis screen on the display unit 14 by the information processing device 1, the user can identify, for example, the factors that lead to the prescription of the company's own drug, or the factors that lead to the prescription of a competing drug, using keywords corresponding to the usage situation. can be expected to be analyzed from Note that the keywords shown in this figure are only examples, and any keywords may be included in the electronic medical chart data, and the information processing apparatus 1 may extract and display any keywords from the electronic medical chart data. .

In this example, the information processing apparatus 1 displays the number of patients corresponding to each usage status and each keyword, but the present invention is not limited to this. Information other than the number of patients may be displayed, such as displaying the ratio of patients corresponding to the usage status. In this example, the information processing apparatus 1 displays the correspondence between usage states and keywords in a tabular format, but the present invention is not limited to this.

FIG. 5 is a schematic diagram showing a display example of an analysis screen displayed by the information processing apparatus 1 according to the present embodiment. The information processing apparatus 1 according to the present embodiment stores the information on the drug usage status and keywords acquired in the above-described process in the healthcare data storage unit 12b. The information processing device 1 reads the past information stored in the healthcare data storage unit 12b, and displays on the display unit 14 an analysis screen that compares past keywords and current keywords corresponding to the drug usage. may

In the illustrated analysis screen, the information processing apparatus 1 acquires healthcare data once a month, for example, and uses the usage status and keyword information based on the healthcare data acquired one month ago. , usage status and keyword information based on the latest (currently) acquired healthcare data are displayed side by side in a tabular form. Note that the keywords of one month ago shown in the analysis screen of FIG. 5 are the same as the keywords shown in FIG. 4, so description thereof will be omitted.

In the example shown in FIG. 5, it is shown that the number of applicable patients is 101 with respect to the usage status of the "current" "new prescription". In addition, from the electronic medical record data of "current" "new prescription" patients, the keyword "hormone therapy effect weakening" was extracted for 28 patients, and the keyword "expected tumor contraction effect" was extracted for 10 patients. It is shown that the keyword "prolonged survival" was extracted for 8 patients.

In this example, an arrow mark pointing upward, an arrow mark pointing rightward, or an arrow mark pointing downward is attached to each keyword of "present". In this example, the information processing apparatus 1 arranges and displays the keywords in a so-called ranking format in which a plurality of keywords are arranged and displayed in order of the number of corresponding patients. An arrow mark attached to each keyword indicates whether the ranking has increased, maintained, or decreased compared to one month ago.

Similarly, for the "current" "switch from competition" usage, the number of applicable patients is shown to be 99. In addition, from the electronic medical record data of patients who are “currently” “switching to competitors”, the keyword “progress to stage 2” was extracted for 20 patients, and the keyword “expecting improvement in hair loss” was extracted for 15 patients. Patients were extracted, showing that the keyword "progress to stage 3" was extracted for 14 patients.

Similarly, it is shown that the number of applicable patients is 60 for the usage status of "prescription discontinued" of "current". In addition, from the electronic medical record data of the “current” “prescription discontinued” patients, the keyword “to ACP at the request of the patient” was extracted for 16 patients, and the keyword “recommendation of wig” was extracted for 11 patients. It shows that the keyword “progress to stage 5” was extracted for 9 patients.

Similarly, for the "current" "switch to competitor" usage, the number of applicable patients is shown to be 92. In addition, from the electronic medical record data of the "current" "switch to competitor" patients, the keyword "to ACP at the request of the person" was extracted for 13 patients, and the keyword "recommended wig" was extracted for 10 patients. , and the keyword "progress to stage 5" was extracted for 7 patients.

By displaying such an analysis screen on the display unit 14 by the information processing device 1, the user can know the change of the keyword related to the usage status of the drug. etc. can be expected to be analyzed. Note that in the example shown in this figure, the analysis screen displays keywords at two points in time, the present and one month ago, but the present invention is not limited to this. The information processing device 1 may display keywords for three or more time points, for example. Further, the one or more points in time at which the information processing apparatus 1 displays the keyword is not limited to one month ago or the present, and any point in time may be adopted, and the user can select the point in time to display the keyword. configuration.

In this example, the information processing apparatus 1 indicates the change in the rank of the keyword with an arrow mark, but the present invention is not limited to this. You may express the change of rank by a different display method. Further, the information processing apparatus 1 may display, for example, changes in ranking of keywords in the form of a graph.

<Others>
In addition to the analysis screens shown in FIGS. 4 and 5, the information processing apparatus 1 according to the present embodiment aggregates the usage status and keywords for each facility such as a hospital where medicines are prescribed, and uses them for each facility. The status and keywords may be displayed in association with each other (illustration is omitted). In this case, the healthcare data that the information processing device 1 acquires from the medical DB 3a of the server device 3 includes identification information such as a facility ID that indicates which facility, such as a hospital, has prescribed medicines for each patient. be The information processing device 1 classifies the medical insurance claim data, DPC data, electronic medical record data, etc. included in the healthcare data acquired from the medical DB 3a for each facility based on the facility ID, etc., and determines the usage status and keywords for each facility. Tally. The information processing apparatus 1 creates a table in which, for example, the usage status items are arranged in the vertical direction and the facility names are arranged in the horizontal direction. can display one or more keywords obtained from

In addition, the information processing apparatus 1 may aggregate the usage status and keywords for each region where facilities such as hospitals that have prescribed medicines exist, and display the usage status and keywords in association with each region (the illustration shows omitted). In this case, the health care data includes information such as an address or region ID indicating in which region a facility such as a hospital is located, or the health care data includes identification information such as a facility ID. At the same time, the information processing apparatus 1 holds information such as a table that stores information on areas where each facility is located. The information processing apparatus 1 classifies the medical insurance claim data, DPC data, electronic medical record data, and the like included in the healthcare data acquired from the medical DB 3a for each region where the facility exists, and aggregates the usage status and keywords for each region. For example, the information processing apparatus 1 creates a table in which the usage status items are arranged vertically and the region names are arranged horizontally, and the table is displayed on the display unit 14, and the electronic medical record data is displayed in the place corresponding to the usage status and the region name. can display one or more keywords obtained from Various regions can be adopted, such as prefectures such as Tokyo and Osaka Prefecture, municipalities such as Nagoya City and Fukuoka City, regions such as Kanto and Kansai regions, or countries such as Japan and the United States. .

Further, the information processing apparatus 1 may perform a process of proposing a message for sales promotion of medicines to the user, for example, based on the usage status and keywords acquired from the healthcare data. The information processing apparatus 1 selects the usage situation with the largest number of corresponding patients from the usage situations such as "new prescription" and "switching from competition", and selects from among the plurality of keywords extracted for this usage situation Select the keyword with the largest number of relevant patients. The information processing device 1 includes, for example, a database that stores one or more messages in association with drug usage and keywords, and retrieves one or more messages by referring to the database based on the selected usage and keywords. The acquired message can be displayed on the display unit 14 . Alternatively, the information processing device 1 has a learning model that undergoes machine learning so as to receive the input of the usage status and keywords and generate a message, and the selected usage status and keywords are input to the learning model, and the learning model generates You may acquire and display the message output by

<Summary>
In the information processing system according to the present embodiment having the above configuration, the information processing device 1 acquires the healthcare data recorded in the medical DB 3a by the server device 3, and uses the healthcare-related product such as pharmaceuticals from the healthcare data. Information about the situation is acquired, keywords related to the usage status are acquired from the natural language data included in the healthcare data, and the acquired usage status and information related to the keyword are displayed (output) on the display unit 14 . As a result, in the information processing system according to the present embodiment, it is possible to associate the usage status of products related to healthcare with keywords and present them to the user. Therefore, it can be expected to support the analysis of healthcare data by the user. .

In addition, in the information processing system according to the present embodiment, medical products, for example, are handled as products related to healthcare, and healthcare data includes information on prescription of pharmaceuticals to patients. The information processing device 1 determines the prescription status (usage status) of medicines for each patient from the acquired health care data, and aggregates the prescription status for each medicine or for each efficacy of the medicine based on the prescription information for each patient. , the tabulated prescription status and keywords are associated with each other and output. As a result, in the information processing system according to the present embodiment, it is expected that the user will analyze changes in the prescription status of drugs for patients and the like for each drug or for each efficacy.

In addition, in the information processing system according to the present embodiment, the prescription status determined by the information processing apparatus 1 for medicines includes a new prescription of the target medicine for the patient, a change from a competing drug (another drug) to the target drug, and a target drug. Includes drug discontinuation and conversion of the target drug to a competing drug. As a result, in the information processing system according to the present embodiment, it is expected that the user will be able to analyze the factors for determining or changing the medicine to be prescribed to the patient.

Further, in the information processing system according to the present embodiment, electronic medical record data is included in healthcare data as natural language data. The information processing apparatus 1 acquires keywords corresponding to drug prescription statuses from electronic medical record data, and aggregates and outputs a plurality of keywords acquired from the electronic medical chart data of multiple patients for each prescription status. Thus, in the information processing system according to the present embodiment, keywords can be obtained from natural language data input by a doctor or the like and presented to the user.

Further, in the information processing system according to the present embodiment, the correspondence between the prescription status and the keyword at a plurality of points in time such as the present and one month ago are displayed in comparison. As a result, the information processing system according to the present embodiment can be expected to support analysis of changes in drug prescription status and changes in factors of prescription status.

Further, in the information processing system according to the present embodiment, the information processing device receives settings related to competing drugs from the user. As a result, in the information processing system according to the present embodiment, for example, when determining "switching from competition" or "switching to competition" as the usage status of the company's pharmaceuticals, etc., information is processed as which pharmaceutical is a competitive pharmaceutical. The user can decide whether the device 1 makes the decision.

Further, in the information processing system according to the present embodiment, the information processing apparatus 1 compares and displays the prescription status and keywords for each facility such as a hospital that has prescribed the medicine or for each region where this facility exists. As a result, in the information processing system according to the present embodiment, it is expected that the user will be able to verify the drug prescription status and the like for each facility or each region.

In the information processing system according to the present embodiment, an example of a configuration in which pharmaceuticals are handled as products related to healthcare has been described, but products related to healthcare are not limited to pharmaceuticals. Health care products may be various products such as medical equipment, nursing care products, or life insurance. In addition, in the information processing system according to the present embodiment, the information processing device 1 displays an analysis screen that summarizes the results of usage status determination, keyword extraction, etc. for each drug, but the present invention is not limited to this. For example, the results of usage status determination, keyword extraction, and the like may be summarized for each efficacy of the drug and displayed on the analysis screen.

The embodiments disclosed this time are illustrative in all respects and should be considered not restrictive. The scope of the present invention is indicated by the scope of the claims rather than the above-described meaning, and is intended to include all modifications within the scope and meaning equivalent to the scope of the claims.

The matters described in each embodiment can be combined with each other. Also, the independent claims and dependent claims described in the claims can be combined with each other in all possible combinations regardless of the form of citation. Furthermore, although the scope of claims uses a format in which claims refer to two or more other claims (multi-claim format), it is not limited to this. It may also be described using a format for describing multiple claims (multi-multiclaim) that refers to at least one multiple claim.

1 Information processing device (computer)
3 server device 3a medical DB
REFERENCE SIGNS LIST 11 processing unit 11a health care data acquisition unit 11b usage information acquisition unit 11c keyword acquisition unit 11d display processing unit 12 storage unit 12a program (computer program)
12b healthcare data storage unit 13 communication unit 14 display unit 15 operation unit N network

Claims (9)

The information processing device
Obtain healthcare data , including information on drug prescribing ,
Determining the prescription status of the drug for each patient from the acquired healthcare data,
Aggregate the prescription status for each drug or for each efficacy of the drug based on the prescription status for the drug for each patient,
obtaining keywords related to the prescription status from the natural language information included in the obtained healthcare data;
Output the aggregated prescription status and the keyword in association with each other,
The prescription status includes a change from another drug to the drug, and a change from the drug to another drug.
Information processing methods. The prescribing status includes new prescriptions of the drug to the patient and discontinuation of the drug.
The information processing method according to claim 1 . The natural language information includes electronic medical record information,
The information processing device is
obtaining a keyword corresponding to the prescription status from the electronic medical record;
aggregating and outputting the keywords related to a plurality of patients for each prescription status;
The information processing method according to claim 1 . The information processing device associates and outputs the prescription status and the keyword at a plurality of time points;
The information processing method according to claim 1 . The information processing device receives settings related to the different drug,
The information processing method according to claim 1 . The information processing device outputs the prescription status and the keyword for each facility where the drug is used or for each region where the facility exists.
The information processing method according to claim 1 . The information processing device outputs a message related to sales promotion of the drug based on the prescription status and the keyword.
The information processing method according to claim 1 . to the computer,
Obtain healthcare data , including information on drug prescribing ,
Determining the prescription status of the drug for each patient from the acquired healthcare data,
Aggregate the prescription status for each drug or for each efficacy of the drug based on the prescription status for the drug for each patient,
obtaining keywords related to the prescription status from the natural language information included in the obtained healthcare data;
Execute a process of correlating and outputting the aggregated prescription status and the keyword ,
The prescription status includes a change from another drug to the drug, and a change from the drug to another drug.
computer program. a first acquisition unit that acquires healthcare data including information on prescription of pharmaceuticals ;
a determination unit that determines the prescription status of the medicine for each patient from the acquired healthcare data;
an aggregating unit that aggregates the prescription status for each drug or for each efficacy of the drug based on the prescription status for the drug for each patient;
a second acquisition unit that acquires a keyword related to the prescription status from natural language information included in the acquired healthcare data;
an output unit that outputs the aggregated prescription status and the keyword in association with each other ,
The prescription status includes a change from another drug to the drug, and a change from the drug to another drug.
Information processing equipment.

Images