Information processing device, information processing method, and information processing program

Abstract

An information processing device is provided that supports the creation of a request for a change in the specifications of an electronic medical record. [Solution] The information processing device includes an acquisition unit that acquires a request form to request changes to the specifications of an electronic medical record, and a generation unit that generates a review result for the request form by inputting the request form and a prompt into a machine-learned language model.The generation unit generates review results for at least one of a review regarding patient information handover and a review regarding preventing tampering with information in the electronic medical record, thereby assisting the user in making decisions.

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] 2. Description of the Related Art There are known techniques for supporting document creation. For example, Patent Document 1 discloses an examination business document creation support device that supports the creation of examination business documents in financial institutions. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7396582 Summary of the Invention [Problem to be solved by the invention]

[0004] An example of a document other than the above-mentioned review work documents is a request for changes to the specifications of an electronic medical record. The specifications of an electronic medical record may be changed according to the requests of the medical professionals who use it. In such cases, if the specifications of the electronic medical record are changed inappropriately, there is a risk that it may lead to a medical accident. Therefore, there is a need for technology to support the creation of request documents for changes to the specifications of an electronic medical record.

[0005] The present disclosure has been made in consideration of the above-mentioned problems, and one exemplary purpose thereof is to provide a technology for supporting the creation of a request for a change in the specifications of an electronic medical record. [Means for solving the problem]

[0006] An information processing device according to an exemplary aspect of the present disclosure includes an acquisition means for acquiring a request form for requesting a change in the specifications of an electronic medical record, and a generation means for generating a review result of the request form by inputting the request form and a prompt instructing the review of the request form into a machine-learned language model, and the generation means generates review results of at least one of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record.

[0007] An information processing method according to an exemplary aspect of the present disclosure includes an acquisition process in which at least one processor acquires a request form for requesting a change in the specifications of an electronic medical record, and a generation process in which the at least one processor generates a review result of the request form by inputting the request form and a prompt instructing the processor to review the request form into a machine-learned language model, wherein in the generation process, the at least one processor generates a review result of at least one of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record.

[0008] An information processing program according to an exemplary aspect of the present disclosure is a program that causes a computer to function as an information processing device, and causes the computer to function as an acquisition means that acquires a request form to request changes to the specifications of an electronic medical record, and a generation means that generates a review result of the request form by inputting the request form and a prompt to perform a review of the request form into a machine-learned language model, and the generation means generates at least one review result of a review regarding patient information handover and a review regarding prevention of tampering with the information in the electronic medical record. [Effects of the Invention]

[0009] According to one exemplary aspect of the present disclosure, an exemplary effect is achieved in that a technology can be provided that supports the creation of a request form for requesting changes to the specifications of an electronic medical record. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a block diagram illustrating a configuration of an information processing device according to the present disclosure. [Figure 2] FIG. 1 is a flow diagram showing the flow of an information processing method according to the present disclosure. [Figure 3] 1 is a diagram illustrating an overview of an information processing system using an information processing device according to the present disclosure. [Figure 4] 1 is a block diagram illustrating a configuration of an information processing device according to the present disclosure. [Figure 5] FIG. 1 is a flow diagram showing the flow of an information processing method according to the present disclosure. [Figure 6] FIG. 1 is a block diagram illustrating a configuration of a computer that functions as an information processing device according to the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0011] The following are examples of embodiments of the present invention. However, the present invention is not limited to the exemplary embodiments shown below, and various modifications are possible within the scope of the claims. For example, embodiments obtained by appropriately combining the technologies (part or all of the products or methods) employed in the exemplary embodiments shown below may also be included in the scope of the present invention. Furthermore, embodiments obtained by appropriately omitting some of the technologies employed in the exemplary embodiments shown below may also be included in the scope of the present invention. Furthermore, the effects mentioned in the exemplary embodiments shown below are examples of effects expected in the exemplary embodiments, and do not define the scope of the present invention. In other words, embodiments that do not exhibit the effects mentioned in the exemplary embodiments shown below may also be included in the scope of the present invention.

[0012] First Exemplary Embodiment A first exemplary embodiment, which is an example of an embodiment of the present invention, will be described in detail with reference to the drawings. This exemplary embodiment is the basic form of each exemplary embodiment described later. The scope of application of each technology employed in this exemplary embodiment is not limited to this exemplary embodiment. That is, each technology employed in this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure, to the extent that no particular technical obstacles arise. Furthermore, each technology shown in the drawings referenced to explain this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure, to the extent that no particular technical obstacles arise.

[0013] (Configuration of information processing device 1) The configuration of the information processing device 1 will be described with reference to Fig. 1. Fig. 1 is a block diagram showing the configuration of the information processing device 1. As shown in Fig. 1, the information processing device 1 includes an acquisition unit 11 and a generation unit 12. The acquisition unit 11 and the generation unit 12 respectively realize an acquisition means and a generation means in this exemplary embodiment.

[0014] (Acquisition part 11) The acquisition unit 11 acquires a written request for requesting a change in the specifications of an electronic medical record. The acquisition unit 11 supplies the acquired written request to the generation unit 12.

[0015] (Generation unit 12) The generation unit 12 generates a review result of the request document by inputting the request document acquired by the acquisition unit 11 and a prompt instructing to execute a review of the request document into the machine-learned language model.

[0016] The generating unit 12 also generates at least one review result of a review regarding the handover of patient information and a review regarding prevention of tampering with information in the electronic medical record.

[0017] (Effects of information processing device 1) As described above, the information processing device 1 employs a configuration including an acquisition unit 11 that acquires a request form for requesting changes to the specifications of an electronic medical record, and a generation unit 12 that generates a review result of the request form by inputting the request form acquired by the acquisition unit 11 and a prompt instructing the execution of a review of the request form into a machine-learned language model. The generation unit 12 also generates at least one review result of a review regarding the handover of patient information and a review regarding prevention of tampering with information in the electronic medical record.

[0018] For this reason, the information processing device 1 generates review results for at least one of a review regarding patient information handover and a review regarding prevention of falsification of electronic medical record information in a request form for requesting changes to the specifications of the electronic medical record. Therefore, the information processing device 1 appropriately corrects inappropriate abstracts that could lead to medical accidents through the review, thereby supporting the creation of a request form for requesting changes to the specifications of the electronic medical record.

[0019] (Example of program implementation) When the information processing device 1 is configured by a computer including at least one processor and memory, the memory stores the following program: This program is a program that causes a computer to function as the information processing device 1, and causes the computer to function as an acquisition unit 11 that acquires a request form for requesting changes to the specifications of an electronic medical record, and a generation unit 12 that generates a review result of the request form by inputting the request form and a prompt that instructs the execution of a review of the request form into a machine-learned language model, and the generation unit 12 generates at least one review result of a review regarding the handover of patient information and a review regarding prevention of tampering with the information in the electronic medical record.

[0020] (Flow of information processing method S1) The flow of the information processing method S1 will be described with reference to Fig. 2. Fig. 2 is a flow diagram showing the flow of the information processing method S1. As shown in Fig. 2, the information processing method S1 includes an acquisition process S11 and a generation process S12.

[0021] (Acquisition process S11) In the acquisition process S11, the acquisition unit 11 acquires a request form for requesting a change in the specifications of the electronic medical record. The acquisition unit 11 supplies the acquired request form to the generation unit 12.

[0022] (Generation process S12) In the generation process S12, the generation unit 12 generates a review result of the request document by inputting the request document acquired by the acquisition unit 11 and a prompt instructing the user to review the request document into the machine-learned language model.

[0023] In addition, in the generation process S12, the generation unit 12 generates at least one review result of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record.

[0024] (Effect of information processing method S1) As described above, the information processing method S1 employs a configuration including an acquisition process S11 in which the acquisition unit 11 acquires a request form for requesting a change in the specifications of the electronic medical record, and a generation process S12 in which the generation unit 12 generates a review result of the request form by inputting the request form acquired by the acquisition unit 11 and a prompt instructing the execution of a review of the request form into a machine-learned language model. In addition, in the generation process S12, the generation unit 12 generates at least one review result of a review regarding the handover of patient information and a review regarding prevention of tampering with information in the electronic medical record.

[0025] Therefore, according to the information processing method S1, the same effects as those of the information processing device 1 described above can be obtained.

[0026] Second Exemplary Embodiment A second exemplary embodiment, which is one example of an embodiment of the present invention, will be described in detail with reference to the drawings. Components having the same functions as those described in the above exemplary embodiment will be assigned the same reference numerals, and their description will be omitted as appropriate. The scope of application of each technology employed in this exemplary embodiment is not limited to this exemplary embodiment. That is, each technology employed in this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure, to the extent that no particular technical hindrance occurs. Furthermore, each technology shown in each drawing referenced to explain this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure, to the extent that no particular technical hindrance occurs.

[0027] (Overview of information processing device 1A) The information processing device 1A is a device that reviews a request form for requesting a change in the specifications of an electronic medical record. An example of an information processing system using the information processing device 1A will be described with reference to Fig. 3. Fig. 3 is a diagram showing an overview of an information processing system 100A using the information processing device 1A.

[0028] In the information processing system 100A, a system engineer SE uses a terminal TE to create a request form WR to request changes to the specifications of an electronic medical record. As an example, the system engineer SE accepts a request for customization of an electronic medical record from a user of the electronic medical record (a medical professional such as a doctor or nurse), and creates a request form WR based on the request.

[0029] When the terminal TE creates the request statement WR, it sends the request statement WR to the file server FS. When the file server FS receives the request statement WR, it stores the request statement WR in a storage unit provided in the file server FS.

[0030] The information processing device 1A monitors whether a request form WR is stored in the storage unit of the file server FS at predetermined intervals (for example, every five minutes). If a request form WR is stored in the storage unit of the file server FS, the information processing device 1A acquires the request form WR. The information processing device 1A then reviews the request form WR. The information processing device 1A reviews the request form WR for each of one or more review items. Note that there are no particular limitations on the content reviewed by the information processing device 1A.

[0031] The information processing device 1A sends the review result RR, which is the result of the review, to the file server FS. Upon receiving the review result RR, the file server FS sends it to the terminal TE. The system engineer SE then refers to the review result RR and modifies the request document.

[0032] (Configuration of information processing device 1A) The configuration of the information processing device 1A will be described with reference to Fig. 4. Fig. 4 is a block diagram showing the configuration of the information processing device 1A. As shown in Fig. 4, the information processing device 1A includes a control unit 10, a storage unit 21, an input / output unit 22, and a communication unit 23.

[0033] (Storage unit 21) The storage unit 21 stores data referenced by the control unit 10. Examples of the storage unit 21 include, but are not limited to, a flash memory, a hard disk drive (HDD), a solid state drive (SSD), or a combination thereof.

[0034] An example of data stored in the storage unit 21 is a language model LM. The language model LM is a language model that has been trained to output a review result RR of the request form WR when a request form WR and a prompt instructing to review the request form WR are input. Note that storing the language model LM in the storage unit 21 means that parameters that define the language model LM are stored in the storage unit 21.

[0035] The language model LM may be stored in a device different from the information processing device 1A. In this case, the information processing device 1A outputs the request form WR and a prompt to instruct the device to review the request form WR via a communication unit 23 (described later). Then, the information processing device 1A obtains the review result RR from the device via the communication unit 23.

[0036] Examples of language models LM include, but are not limited to, large-scale language models (LLMs) such as BERT (Bidirectional Encoder Representations from Transformers), GPT (Generative Pre-trained Transformer), T5 (Text-to-Text Transfer Transformer), RoBERTa (Robustly optimized BERT approach), and ELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately), as well as learning models generated by transfer learning or fine-tuning using pre-trained models (e.g., ChatGPT (Chat Generative Pre-trained Transformer)).

[0037] Other examples of data stored in the storage unit 21 include a request WR, a prompt, and a review result RR, which are not shown in FIG.

[0038] (Input / output section 22) The input / output unit 22 is an interface with an input device that accepts input of data and an output device that outputs data. Examples of input devices include, but are not limited to, a microphone, a camera, an eye-gaze input device, a keyboard, and a touchpad. Examples of output devices include, but are not limited to, a speaker and a liquid crystal display.

[0039] (Communications Department 23) The communication unit 23 is an interface for transmitting and receiving data via a network. Examples of the communication unit 23 include, but are not limited to, communication chips for various communication standards such as Ethernet (registered trademark), Wi-Fi (registered trademark), and wireless communication standards for mobile data communication networks, and a USB-compliant connector.

[0040] Furthermore, the specific configuration of the network is not particularly limited, but examples include a wireless LAN (Local Area Network), a wired LAN, a WAN (Wide Area Network), a public line network, a mobile data communication network, or a combination of these networks.

[0041] (Control unit 10) The control unit 10 controls each component included in the information processing device 1A. As shown in Fig. 4, the control unit 10 also includes an acquisition unit 11, a generation unit 12, an extraction unit 13, and an output unit 14. In this exemplary embodiment, the acquisition unit 11, the generation unit 12, and the extraction unit 13 respectively realize an acquisition means, a generation means, and an extraction means.

[0042] (Acquisition part 11) The acquisition unit 11 acquires data output from the input / output unit 22 or the communication unit 23. The acquisition unit 11 stores the acquired data in the storage unit 21. As an example, the acquisition unit 11 acquires a request form WR for requesting a change in the specifications of an electronic medical record.

[0043] (Generation unit 12) The generation unit 12 generates a review result RR, which is a result of reviewing the request form WR. As an example, the generation unit 12 generates the review result RR of the request form WR by inputting the request form WR stored in the storage unit 21 and a prompt instructing to review the request form WR into the language model LM. The generation unit 12 stores the generated review result RR in the storage unit 21.

[0044] As one example, the generation unit 12 may obtain a predetermined prompt from the storage unit 21 and input the predetermined prompt to the language model LM. As another example, prompts may be stored in association with review items in the storage unit 21, and the generation unit 12 may input, for each review item, a prompt associated with the review item to the language model LM.

[0045] The generation unit 12 may also generate the review result RR using Retrieval-Augmented Generation (RAG). For example, the generation unit 12 searches a knowledge base that stores knowledge and information specific to the electronic medical record system based on the request form WR. Then, the generation unit 12 inputs the search result, the request form WR, and the prompt into a language model LM and obtains the review result RR from the language model LM.

[0046] The generating unit 12 may also generate the review result RR by inputting the review target information and prompt extracted from the request WR by the extracting unit 13 (described later) into the language model LM.

[0047] (Extraction part 13) The extraction unit 13 extracts review target information to be reviewed from the written request WR. The extraction unit 13 supplies the extracted review target information to the generation unit 12.

[0048] As an example, the extraction unit 13 extracts descriptions of predetermined items from a written request WR written in a predetermined format as review target information. For example, it is assumed that the written request WR includes the following items: - "Background" section that describes the background and purpose of the request for specification changes - "Common" items that list the check items for requesting specification changes - "Function Specifications" section detailing the changes The extraction unit 13 extracts, from the above items, the "background" items and the "functional specifications" items that are the subject of review as review subject information.

[0049] As another example, the extraction unit 13 searches for predetermined phrases in the request form WR and extracts review target information based on the search results. For example, the extraction unit 13 searches for phrases such as "background," "purpose," and "request content" in the request form WR. Then, the extraction unit 13 extracts phrases associated with the phrases found in the search as review target information.

[0050] In this way, the extraction unit 13 extracts the review target information, thereby reducing the processing load on the language model LM.

[0051] (Output unit 14) The output unit 14 outputs data to another device via the input / output unit 22 or the communication unit 23. As an example, the output unit 14 outputs the review result RR stored in the storage unit 21 to the other device via the communication unit 23.

[0052] (Flow of processing executed by information processing device 1A) The flow of the process (information processing method S1A) executed by the information processing device 1A will be described with reference to Fig. 5. Fig. 5 is a flow chart showing the flow of the information processing method S1A.

[0053] (Step S11) In step S11, the acquisition unit 11 acquires a written request WR for requesting a change in the specifications of the electronic medical record. The acquisition unit 11 stores the acquired written request WR in the storage unit 21.

[0054] (Step S21) In step S21, the extraction unit 13 extracts review target information to be reviewed from the written request WR stored in the storage unit 21. The extraction unit 13 supplies the extracted review target information to the generation unit 12.

[0055] (Step S12) In step S12, the generation unit 12 generates a review result RR of the request document WR by inputting the review target information extracted by the extraction unit 13 and a prompt to perform the review into the language model LM. The generation unit 12 stores the review result RR in the storage unit 21.

[0056] In addition, if the extraction unit 13 is unable to extract the review target information in step S21 (if step S21 is not executed), the generation unit 12 generates a review result RR of the request document WR by inputting the request document WR and a prompt instructing the review to be performed into the language model LM.

[0057] (Step S22) In step S22, the output unit 14 outputs the review results stored in the storage unit 21.

[0058] (Example 1 of review result RR) As described above, the content reviewed by the information processing device 1A is not particularly limited. As an example, the information processing device 1A may review the format of the written request WR. In this case, for example, the information processing device 1A may review whether there are any missing entries, whether prohibited characters are used, whether there are any typos, etc. as review items.

[0059] For example, the generation unit 12 inputs the request WR and the prompt "Please review the formal aspects. Please output the judgment result and advice" into the language model LM, and generates the output of the language model LM as the review result RR. For example, the generation unit 12 generates the review result RR including the following: Review item: "Is the background and reason stated?" ·Judgment result “〇” · Advice list "The background and reasons are clearly stated." With this configuration, the information processing device 1A generates a review result of the format of the written request WR, and therefore can support the creation of the written request WR.

[0060] (Example 2 of review result RR) The information processing device 1A may perform a review specific to the electronic medical record request form WR. As an example of a review specific to the electronic medical record request form WR, the information processing device 1A may perform a review related to the handover of patient information. As an example in this case, the information processing device 1A may review, as a review item, whether the impact of a change in specifications on a system in a department related to patient information that is linked to the electronic medical record (hereinafter also referred to as a "subsystem") has been taken into consideration.

[0061] For example, the generation unit 12 inputs the request WR and the prompt "Please review whether the presence or absence of related subsystems is described. Please output the determination result and advice" into the language model LM, and generates the output of the language model LM as the review result RR. For example, the generation unit 12 generates the review result RR including the following: - Review item: "Is the presence or absence of related subsystems stated?" ·Judgment result “×” Advice: "There is no description of the subsystem related to the input statement. Please check whether there is a related subsystem and enter it." With this configuration, the information processing device 1A generates a review result as to whether the handover of patient information has been taken into consideration in the written request WR, and therefore can support the creation of the written request WR.

[0062] (Example 3 of review result RR) As another example of a review specific to the electronic medical record request form WR, the information processing device 1A may perform a review regarding prevention of tampering with the information in the electronic medical record. As an example of this case, the information processing device 1A may review, as a review item, whether the impact on the progress note (PN) has been taken into consideration in response to a change in specifications.

[0063] For example, the generation unit 12 inputs the request WR and a prompt "If a display item is added, please review whether the impact on the PN has been considered. Please output the judgment result and advice" into the language model LM, and generates the output of the language model LM as the review result RR. For example, the generation unit 12 generates the review result RR including the following: Review item: "If display items are added, has the impact on PN been considered?" ·Judgment result “×” Advice: "There is no mention of adding display items, but there is a mention of information transfer settings, so please add or modify them." With this configuration, the information processing device 1A generates a review result as to whether the request form WR takes into consideration prevention of tampering of information in the electronic medical record, and therefore can support the creation of the request form WR.

[0064] (Example 4 of Review Result RR) As yet another example of a review specific to the electronic medical record request form WR, the information processing device 1A may review authority according to the occupation of the user of the electronic medical record. As an example of this case, the information processing device 1A may review, as a review item, whether authority is set according to whether the user of the electronic medical record is a doctor or a nurse.

[0065] For example, the generation unit 12 inputs the request WR and a prompt "If there are differences in functions depending on whether the user of the electronic medical record is a doctor or a nurse, please review whether the function contents are described. Please output the judgment result and advice" into the language model LM, and generates the output of the language model LM as the review result RR. For example, the generation unit 12 generates a review result RR including the following (a review result RR of a review regarding authority depending on whether the user of the electronic medical record is at least a doctor or a nurse): Review item: "If there are differences in functions depending on whether the electronic medical record user is a doctor or a nurse, are the details of the functions described?" ·Judgment result “×” Advice: "It is not stated whether there are differences in functionality depending on whether the electronic medical record user is a doctor or a nurse. Please state what functions are available to doctors and what functions are available to nurses." The occupation is not limited to the above-mentioned doctors and nurses, but may be any occupation of the user who uses the electronic medical record. For example, the occupation may be a midwife, pharmacist, radiologist, physical therapist, occupational therapist, clinical engineer, registered dietitian, medical office assistant, etc.

[0066] With this configuration, the information processing device 1A generates a review result as to whether the request form WR takes into consideration the authority according to the occupation of the user of the electronic medical record, and therefore can support the creation of the request form WR.

[0067] (Example 5 of review result RR) As yet another example of a review specific to the electronic medical record request form WR, the information processing device 1A may review the interoperability with a subsystem linked to the electronic medical record. As an example of this case, the information processing device 1A may review whether the operation of the subsystem when stopping work on the electronic medical record or closing a displayed image has been taken into consideration.

[0068] For example, the generation unit 12 inputs the request WR and the prompt "Please review whether consideration has been given to the behavior when the 'Quit' or 'Close' button is pressed. Please output the judgment result and advice." into the language model LM, and generates the output of the language model LM as the review result RR. For example, the generation unit 12 generates a review result RR (review result RR of a review regarding the interoperability with subsystems linked to the electronic medical record) that includes the following: Review item: "Have you considered the behavior when pressing the 'Stop' or 'Close' button?" ·Judgment result “×” Advice: "The input text does not include any information about what happens when the "Stop" or "Close" button is pressed, so please take this into consideration and add it to the function specifications." With this configuration, the information processing device 1A generates a review result as to whether the linkage between the electronic medical record and the subsystem is taken into consideration in the written request WR, and therefore can support the creation of the written request WR.

[0069] (Example of processing executed by the generation unit 12) As explained in the example of the review result RR above, the generation unit 12 may generate a review result RR for each review item. Alternatively, the generation unit 12 may generate review results RR for multiple review items.

[0070] For example, if the language model LM has been trained to review multiple review items (e.g., two or more of the review items in Examples 1 to 5 of the review result RR described above), the generation unit 12 inputs the request WR (or the information to be reviewed) and the prompt "Please review and output the judgment result and advice" into the language model LM. The generation unit 12 generates the output of the language model LM as the review result RR. As an example, the generation unit 12 generates at least one review result RR of a review regarding patient information handover and a review regarding preventing tampering with information in electronic medical records.

[0071] With this configuration, the information processing device 1A acquires the review results RR for a plurality of review items collectively from the language model LM, thereby reducing the processing load.

[0072] (Effects of information processing device 1A) As described above, in the information processing device 1A, the review result RR of the request document WR is generated by inputting the request document WR (or the review target information) and a prompt instructing to execute a review of the request document WR into the language model LM.

[0073] Therefore, the information processing device 1A can generate a review result RR that reviews the written request WR to determine whether it is inappropriate in terms of its format and the contents specific to the electronic medical record.

[0074] Furthermore, the information processing device 1A outputs the review result RR. Therefore, the information processing device 1A can notify the creator of the request document WR of any inappropriate points in the request document WR.

[0075] Therefore, the information processing device 1A can support the creation of a written request WR for requesting a change in the specifications of an electronic medical record.

[0076] [Software implementation example] Some or all of the functions of the information processing devices 1, 1A (hereinafter also referred to as "each of the above devices") may be realized by hardware such as an integrated circuit (IC chip), or by software.

[0077] In the latter case, each of the above devices is realized by, for example, a computer that executes instructions of a program, which is software that realizes each function. An example of such a computer (hereinafter referred to as computer C) is shown in Figure 6. Figure 6 is a block diagram showing the hardware configuration of computer C that functions as each of the above devices.

[0078] The computer C includes at least one processor C1 and at least one memory C2. The memory C2 stores a program P for causing the computer C to operate as each of the above-mentioned devices. In the computer C, the processor C1 reads and executes the program P from the memory C2, thereby realizing the functions of each of the above-mentioned devices.

[0079] The processor C1 may be, for example, a central processing unit (CPU), a graphic processing unit (GPU), a digital signal processor (DSP), a micro processing unit (MPU), a floating point number processing unit (FPU), a physics processing unit (PPU), a tensor processing unit (TPU), a quantum processor, a microcontroller, or a combination thereof. The memory C2 may be, for example, a flash memory, a hard disk drive (HDD), a solid state drive (SSD), or a combination thereof.

[0080] The computer C may further include a RAM (Random Access Memory) for expanding the program P during execution and for temporarily storing various data. The computer C may also include a communication interface for transmitting and receiving data to and from other devices. The computer C may also include an input / output interface for connecting input / output devices such as a keyboard, mouse, display, and printer.

[0081] Furthermore, the program P can be recorded on a non-transitory tangible recording medium M that can be read by the computer C. Such a recording medium M can be, for example, a tape, a disk, a card, a semiconductor memory, or a programmable logic circuit. The computer C can acquire the program P via such a recording medium M. The program P can also be transmitted via a transmission medium. Such a transmission medium can be, for example, a communication network or broadcast waves. The computer C can also acquire the program P via such a transmission medium.

[0082] Furthermore, the functions of each of the devices may be realized by a single processor provided in a single computer, by multiple processors provided in a single computer working in cooperation, or by multiple processors provided in each of multiple computers working in cooperation. Furthermore, the programs for causing each of the devices to realize the functions may be stored in a single memory provided in a single computer, or may be distributed and stored in multiple memories provided in a single computer, or may be distributed and stored in multiple memories provided in each of multiple computers.

[0083] [Appendix A] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0084] (Appendix A1) an acquisition means for acquiring a request form for requesting a change in the specifications of the electronic medical record; a generating means for generating a review result of the request document by inputting the request document and a prompt instructing the review of the request document into a machine-learned language model; Equipped with The generating means generates at least one review result of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record. Information processing device.

[0085] (Appendix A2) The system further includes an extraction unit for extracting review target information to be reviewed from the request document, the generating means generates a review result of the requirement document by inputting the review target information and the prompt into the language model. 10. The information processing device according to claim 1,

[0086] (Appendix A3) The generating means generates a review result regarding the authority of the review depending on whether the person using the electronic medical record is at least a doctor or a nurse. An information processing device according to appendix A1 or A2.

[0087] (Appendix A4) The generating means generates a review result regarding the linkage between the electronic medical record and a subsystem linked to the electronic medical record. An information processing device according to any one of appendices A1 to A3.

[0088] [Appendix B] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0089] (Appendix B1) an acquisition process in which at least one processor acquires a request for a change in the specifications of the electronic medical record; a generation process in which the at least one processor generates a review result of the request document by inputting the request document and a prompt instructing the processor to review the request document into a machine-learned language model; Including, In the generating process, the at least one processor generates a review result of at least one of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record. Information processing methods.

[0090] (Appendix B2) The at least one processor further includes an extraction process for extracting review target information to be reviewed from the request document; In the generation process, the at least one processor generates a review result of the requirement document by inputting the review target information and the prompt into the language model. 1. The information processing method described in Appendix B1.

[0091] (Appendix B3) In the generation process, the at least one processor generates a review result of a review regarding authority depending on whether the person using the electronic medical record is at least a doctor or a nurse. 1. An information processing method as described in Appendix B1 or B2.

[0092] (Appendix B4) In the generation process, the at least one processor generates a review result of a review regarding interoperability with a subsystem linked to the electronic medical record. 1. An information processing method according to any one of appendices B1 to B3.

[0093] [Appendix C] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0094] (Appendix C1) A program that causes a computer to function as an information processing device, The computer an acquisition means for acquiring a request form for requesting a change in the specifications of the electronic medical record; a generating means for generating a review result of the request document by inputting the request document and a prompt instructing the review of the request document into a machine-learned language model; It functions as The generating means generates at least one review result of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record. Information processing program.

[0095] (Appendix C2) The computer further functioning as an extraction means for extracting review target information to be reviewed from the request; the generating means generates a review result of the requirement document by inputting the review target information and the prompt into the language model. An information processing program as described in Appendix C1.

[0096] (Appendix C3) The generating means generates a review result regarding the authority of the review depending on whether the person using the electronic medical record is at least a doctor or a nurse. An information processing program according to appendix C1 or C2.

[0097] (Appendix C4) The generating means generates a review result regarding the linkage between the electronic medical record and a subsystem linked to the electronic medical record. An information processing program according to any one of appendices C1 to C3.

[0098] [Appendix D] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0099] (Appendix D1) at least one processor, an acquisition process for acquiring a request form for requesting a change in the specifications of the electronic medical record; a generation process for generating a review result of the request document by inputting the request document and a prompt instructing the user to review the request document into a machine-learned language model; Prepare, execute, In the generating process, the at least one processor generates a review result of at least one of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record. Information processing device.

[0100] The information processing device may further include a memory, and the memory may store a program for causing the at least one processor to execute each of the processes.

[0101] (Appendix D2) the at least one processor: further performing an extraction process to extract review target information to be reviewed from the request; In the generation process, the at least one processor generates a review result of the requirement document by inputting the review target information and the prompt into the language model. 10. The information processing device according to claim 9, wherein the information processing device is a device for processing information.

[0102] (Appendix D3) In the generation process, the at least one processor generates a review result of a review regarding authority depending on whether the person using the electronic medical record is at least a doctor or a nurse. An information processing device according to appendix D1 or D2.

[0103] (Appendix D4) In the generation process, the at least one processor generates a review result of a review regarding interoperability with a subsystem linked to the electronic medical record. An information processing device according to any one of appendices D1 to D3.

[0104] [Appendix E] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0105] (Appendix E1) A program that causes a computer to function as an information processing device, The computer, an acquisition process for acquiring a request form for requesting a change in the specifications of the electronic medical record; a generation process for generating a review result of the request document by inputting the request document and a prompt instructing the user to review the request document into a machine-learned language model; Execute In the generating process, the computer generates at least one review result of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record. A non-transitory recording medium on which an information processing program is recorded. [Explanation of symbols]

[0106] 1, 1A Information processing equipment 11 Acquisition Department 12 Generation part 13 Extraction part 14 Output section RR Review Results WR request form

Claims

1. an acquisition means for acquiring a request form for requesting a change in the specifications of the electronic medical record; a generating means for generating a review result of the request document by inputting the request document and a prompt instructing the review of the request document into a machine-learned language model; Equipped with The generating means generates at least one review result of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record. Information processing device.

2. The system further includes an extraction unit for extracting review target information to be reviewed from the request document, the generating means generates a review result of the requirement document by inputting the review target information and the prompt into the language model. The information processing device according to claim 1 .

3. The generating means generates a review result regarding an authority review depending on whether the person using the electronic medical record is at least a doctor or a nurse.

3. The information processing device according to claim 1.

4. The generating means generates a review result regarding the linkage between the electronic medical record and a subsystem linked to the electronic medical record.

3. The information processing device according to claim 1.

5. an acquisition process in which at least one processor acquires a request for requesting a change in the specifications of the electronic medical record; a generation process in which the at least one processor generates a review result of the request document by inputting the request document and a prompt instructing the processor to review the request document into a machine-learned language model; Including, In the generating process, the at least one processor generates a review result of at least one of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record. Information processing methods.

6. A program that causes a computer to function as an information processing device, The computer an acquisition means for acquiring a request form for requesting a change in the specifications of the electronic medical record; a generating means for generating a review result of the request document by inputting the request document and a prompt instructing the review of the request document into a machine-learned language model; It functions as The generating means generates at least one review result of a review regarding patient information handover and a review regarding prevention of tampering with information in the electronic medical record. Information processing program.

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