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JP-2026075959-A - Method for generating inference models, server equipment, computer programs, and methods for supporting information provision.

JP2026075959AJP 2026075959 AJP2026075959 AJP 2026075959AJP-2026075959-A

Abstract

[Challenge] To increase motivation for providing support information to patients. [Solution] Prescription information PR related to the prescription of medication to a patient is transmitted from the client device 11 to the server device 12. Based on the prescription information PR, the server device 12 infers an index value related to at least one of the implementation and effectiveness of providing support information to the patient. Inference result information RS associated with the index value is transmitted from the server device 12 to the client device 11. The client device 11 is provided with the inference result information RS. [Selection Diagram] Figure 2

Inventors

  • 島吉 翔太
  • 細川 雅矢
  • 池田 元子
  • 川渕 将太

Assignees

  • 株式会社カケハシ

Dates

Publication Date
20260511
Application Date
20241023

Claims (7)

  1. A method for generating an inference model using a computing device, We prepare training data in which features extracted from support information provided to patients are associated with indicator values related to at least one of the implementation and effectiveness of the provision of said support information. Machine learning is performed using the training data so that an inference model is constructed that extracts the features from prescription information related to drug prescriptions for input patients and infers the index value. Methods for generating inference models.
  2. The inference model is generated for each of several drugs with different prescription volume scales. A method for generating an inference model according to claim 1.
  3. A server device capable of communicating with client devices, An interface for receiving prescription information related to the prescription of medications to patients from the client device, A processor that infers an index value related to at least one of the implementation and effectiveness of providing support information to the patient based on the prescription information, and causes the client device to provide the inference result information associated with the index value, It is equipped with Server device.
  4. The processor changes the manner in which the inference result information is provided according to the index value. The server device according to claim 3.
  5. The processor modifies the inference model used to infer the index value according to the type of drug extracted from the prescription information. The server device according to claim 3 or 4.
  6. A computer program that can be executed by a processor installed in a server device capable of communicating with a client device, By being executed, the server device will Prescription information related to the prescription of medication to patients is received from the client device. Based on the aforementioned prescription information, infer an indicator value related to at least one of the implementation and effectiveness of providing support information to the patient, The client device is provided with inference result information associated with the aforementioned index value. Computer program.
  7. A method for supporting the provision of information to a patient, which is performed by a client device and a server device, Prescription information relating to the prescription of medication for the aforementioned patient is transmitted from the client device to the server device. In the server device, based on the prescription information, an index value relating to at least one of the implementation and effectiveness of providing support information to the patient is inferred, The server device transmits the inference result information associated with the aforementioned index value to the client device. In the aforementioned client device, the inference result information is provided by Methods for providing information.

Description

This disclosure relates to a method for generating inference models using a computing device. This disclosure also relates to a server device capable of communicating with client devices. This disclosure also relates to computer programs executable by the processor installed in the server device. This disclosure also relates to a method for assisting in the provision of information to patients, which is performed by the server device and the client devices. Patent Document 1 discloses a system that infers the content of guidance to be provided to a patient based on information regarding the patient's health status and information regarding medications prescribed to the patient. Japanese Patent Publication No. 2021-168052 This illustrates the configuration of a support system according to one embodiment.Figure 1 illustrates the functional configuration of the client and server devices.Figure 1 illustrates the functional configuration of the inference model generation device.Figure 3 illustrates the processing flow executed by the processor.Figure 2 shows an example of the screen displayed on the client device.Figure 2 shows another example of the screen displayed on the client device. An example of an embodiment will be described in detail below with reference to the attached drawings. In the drawings referenced below, the scale has been changed as necessary to make the elements shown recognizable. As used in this disclosure, the term "medical institution" refers to an institution where medical professionals provide information about pharmaceuticals to patients. Examples of "medical institutions" include hospitals, clinics, medical offices, pharmacies, drugstores, and other similar facilities. Examples of "medical professionals" include physicians, nurses, pharmacists, care managers, and registered dietitians. Figure 1 illustrates the configuration of a support system 10 according to one embodiment. The support system 10 includes a client device 11 and a server device 12. The client device 11 is a device that provides users with health advice to support the maintenance of patients' health. Health advice is an example of support information. "User" may include both healthcare professionals and patients. There may be multiple client devices 11. The client device 11 may be a stationary device installed in a specific location, or a portable device that can be carried by the user. The server device 12 is installed at a location separate from the client device 11. The client device 11 and the server device 12 are configured to enable bidirectional data communication via the communication network 20. As illustrated in Figure 2, the client device 11 is equipped with a communication interface 111. On the other hand, the server device 12 is equipped with a communication interface 121. Both communication interface 111 and communication interface 121 are hardware interfaces configured to enable the bidirectional data communication described above. The client device 11 comprises a processor 112 and a user interface 113. The user interface 113 is a hardware interface that mediates the exchange of information between the user and the processor 112, and also receives user instructions to cause the client device 11 to perform predetermined operations. The processor 112 and the user interface 113 may be mounted in a common enclosure, or they may be provided in a distributed manner across separate enclosures. The predetermined operation performed by the client device 11 includes the transmission of prescription information PR to the server device 12. Prescription information PR includes information related to the prescription of medication to the patient. Examples of information related to the prescription of medication include the following items. However, not all of the listed items need to be included in prescription information PR. - Date the medication was prescribed - Date the medication was dispensed based on the prescription - Date the medication history was finalized - Date medication guidance was provided - Name, ingredients, therapeutic classification, dosage form, dose, administration, and number of days prescribed for the medication - Identification information of the medical institution - Identification information of the prescription - Identification information of the healthcare professional - Identification information of the patient - Patient's age, sex, and measurable biometric parameters - Patient's medical history, medication history, and use of over-the-counter (OTC) medications and health foods The server device 12 comprises a processor 122 and an inference model 123. The inference model 123 is a computer algorithm executable by the processor 122. The inference model 123 is configured to take prescription information PR as input and output indicator values related to the effectiveness of health advice to patients as inference results. The indicator values may include items related to improving patient me