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WO2025220757A1 - Procédé de fourniture d'informations à l'aide d'un système d'informations centré sur l'homme - Google Patents

Procédé de fourniture d'informations à l'aide d'un système d'informations centré sur l'homme

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Publication number
WO2025220757A1
WO2025220757A1 PCT/KR2024/005016 KR2024005016W WO2025220757A1 WO 2025220757 A1 WO2025220757 A1 WO 2025220757A1 KR 2024005016 W KR2024005016 W KR 2024005016W WO 2025220757 A1 WO2025220757 A1 WO 2025220757A1
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data
prescription
categories
flow chart
information
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Korean (ko)
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박행운
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Individual
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/231—Hierarchical techniques, i.e. dividing or merging pattern sets so as to obtain a dendrogram
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/02—Reservations, e.g. for tickets, services or events
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics

Definitions

  • the present invention relates to integrating different systems using a human information system (HIS) and providing information to users based on big data of the integrated system.
  • HIS human information system
  • it relates to providing a human-centered information system that classifies and integrates data contained in multiple incompatible medical systems, and provides information on user instructions by considering the categorized data and the user's task.
  • systems management information systems
  • Japanese Patent Publication No. 7329763 (August 10, 2023) deals with an information output system and program for hospital use.
  • the present invention seeks to provide a human-centered information system that includes a function for processing data generated from a system used in each organization (e.g., a medical organization) and classifying the data into categories.
  • a human-centered information system that includes a function for processing data generated from a system used in each organization (e.g., a medical organization) and classifying the data into categories.
  • the present invention seeks to provide a human-centered information system that provides information by considering tasks and instructions conveyed by a user.
  • the present invention seeks to provide an HIS adapted to integrate systems of medical organizations.
  • the present invention seeks to provide a HIS adapted to integrate the systems of agricultural organizations.
  • a method for providing information using a human-centered information system (HIS) performed by a computing device for solving the aforementioned problem comprises: a step of obtaining output information generated by transmitting a user's task and order to the HIS by the computing device; and a step of outputting the obtained output information by the computing device and transmitting it to the user, wherein when the HIS obtains data, the HIS classifies categories based on tasks in the data and generates a flow chart based on the classified categories, and when the HIS generates the output information, the HIS generates the output information based on the user's task and order and the flow chart received from the computing device.
  • HIS human-centered information system
  • the present invention can provide a human-centered information system that includes a function of processing data generated from a system used in each organization (e.g., a medical organization) and classifying the categories.
  • a system used in each organization e.g., a medical organization
  • the present invention can provide a human-centered information system that provides information by considering tasks and instructions conveyed by a user.
  • the present invention can provide a HIS tuned to integrate systems of medical organizations.
  • the present invention can provide a HIS tuned to integrate the systems of agricultural organizations.
  • FIG. 1 is a drawing showing an example of a method in which an HIS acquires data and generates a flow chart according to one embodiment of the present invention.
  • FIG. 2 is a diagram illustrating an example of a method in which an HIS, according to one embodiment of the present invention, obtains data and provides information from users performing various tasks.
  • FIG. 3 is a drawing showing an example of a method for a HIS related to a hospital to classify data and create a flow chart according to one embodiment of the present invention.
  • FIG. 4 is a diagram illustrating an example of a process in which an HIS provides information upon receiving instructions and tasks related to a prescription according to one embodiment of the present invention.
  • FIG. 5 is a diagram illustrating an example of a flow chart including categories related to a hospital according to one embodiment of the present invention.
  • FIG. 6 is a diagram illustrating a flowchart of a method in which a computing device using an HIS according to one embodiment of the present invention provides information to a user.
  • first, second, A, B, (a), (b), etc. may be used to describe components of embodiments of the present invention. These terms are only intended to distinguish the components from other components, and the nature, order, or sequence of the components are not limited by the terms.
  • a component is “connected,” “coupled,” or “connected” to another component, it should be understood that the component may be directly connected or connected to the other component, but components may also be “connected,” “coupled,” or “connected” between each component.
  • a traditional HIS is a human resources information system, sometimes referred to as a system designed to help companies meet core HR requirements and improve the productivity of both management and employees.
  • the human-centered information system (hereinafter, HIS) of the present invention is different in concept from the conventional HIS, and is defined as a system that secures data by classifying, collecting, storing, searching, and processing data classified into categories based on individual tasks, and provides information by considering various related tasks according to the individual's tasks and instructions.
  • the computing device of the present invention may include a personal computer (PC), a portable terminal (laptop, smartphone, PDA, tablet, etc.), and a server.
  • the computing device may include modules such as a processor, memory, and a network unit to use an operating system.
  • the computing device can implement various programs (or APPs) using the processor based on the operating system.
  • the computing device can perform data creation, storage, deletion, or modification (aka CRUD) operations through the processor and memory, and can exchange data with other computing devices using the network unit.
  • the system including the Human-Centered Information System (HIS) mentioned in the present invention may include at least one server-type computing device.
  • the specific system including the HIS may include programs for specific purposes.
  • the specific system including the HIS when the specific system including the HIS performs a certain operation, it can be understood that at least one of the processors included in the system performs the operation as a central axis.
  • the data in the present invention may be categorized, but may also include a combination of raw strings of characters and numbers. Some systems, such as smart hospital systems, may include categorized data. On the other hand, systems may also include uncategorized data. (In the present invention, a data set without categorization may be referred to as "dumping data.” For example, the data may be something like "January 1st, Korea Meteorological Administration predicted average temperature: 10."
  • the information in the present invention may include user-understandable and useful text (e.g., sentences) or images.
  • This information may be processed by a HIS (Hybrid Information System), as described in more detail later, based on data, and provided to the user.
  • HIS Hybrid Information System
  • this information may be something like, "The predicted average temperature on January 1st is 10 degrees Celsius. We recommend taking precautions as cold damage to crops may occur.”
  • the process of classifying data categories, analyzing them, and generating information can be implemented using an LLM (Large Language Model) and a natural language-based artificial intelligence model.
  • LLM Large Language Model
  • Various types of artificial intelligence models can be used in the HIS of the present invention, and a description of each artificial intelligence model that can be used will be omitted. This is because it is obvious to those skilled in the art that various products using different algorithms are being rapidly released, and that the artificial intelligence model can receive prompts from a user or a processor of a computing device and send out responses using the algorithm of each model.
  • the artificial intelligence model used by the HIS in the present invention is not limited to a single model.
  • the artificial intelligence model used by the HIS in the present invention may be composed of a combination of multiple artificial intelligence models.
  • the AI model can be trained using data or academic journals mentioned in the present invention.
  • the model can also be released as an open API, allowing for training through contributions from an unspecified number of individuals.
  • the flow chart referred to in the present invention may include the interrelationships between categories into which data is classified.
  • the flow chart may include major category classifications and sub-categories related to tasks, and each major category classification may include sub-categories, and each sub-categories may include at least one more deeper classification.
  • the flow chart may include the status of data classification by the HIS of the present invention.
  • the HIS may use an artificial intelligence model to easily identify data in related categories by referring to the flow chart based on the user's tasks and instructions. (The flow chart will be described in more detail later.)
  • FIG. 1 is a diagram illustrating an example of a method by which an HIS acquires data and generates a flowchart according to one embodiment of the present invention.
  • FIG. 2 is a diagram illustrating an example of a method by which an HIS acquires data and provides information from users performing various tasks according to one embodiment of the present invention.
  • FIG. 1 a single computing device (110) is shown, but various computing devices can interact simultaneously with the HIS (100).
  • HIS (100) can perform two major operations.
  • the HIS (100) can collect data from the outside or inside and classify the categories of the collected data to create a flow chart (120).
  • the HIS (100) can provide tasks and instructions received from the user and information related to the tasks and instructions to the computing device (110) based on the flow chart (120).
  • the HIS (100) can receive data (130) from a plurality of different types of systems, classify the categorized data, and create a flow chart (120). This will be discussed in more detail later with reference to FIG. 3.
  • the HIS (100) is provided as an Open API (140) to collect data from users (e.g., developers) and classify them into categories, or to receive development support from unspecified developers.
  • users e.g., developers
  • unverified developers may affect the completeness of the HIS (100), so the administrator can use various methods to coordinate developers participating in the Open API with his/her authority. For example, the developers' development contributions can be measured, and developers whose development contributions fall below a predetermined level can be removed. Alternatively, developers who are judged to have had a negative impact on the HIS can be removed at the administrator's discretion, and when assuming that they will be charged a usage fee for the HIS, they can be charged a different fee from other users.
  • the HIS (100) can extract text from verified academic journals (150) and classify categories based on the extracted text to create a flow chart (120). For example, it is preferable to use academic journals (150) verified by organizations recognized by many, such as SCI papers.
  • the computing device (110) can receive tasks, data, and instructions from users with various occupations and provide output information to the HIS (100).
  • the computing device (110) can transmit information about a task and information about an instruction in the form of natural language to the HIS (100). At this time, if information about a user using the computing device (110) is pre-registered in the HIS (100) or the computing device (110), the user's information can be automatically transmitted together during the process of transmitting information about the task.
  • the HIS (100) can select data having a category suitable for the instructions and tasks using the included artificial intelligence model using a flow chart (120), generate information by referring to the instructions, tasks, and selected data, and transmit the generated information to the user's computing device (110).
  • the HIS (100) is associated with the medical field
  • the users may include workers performing tasks related to the medical field, such as doctors, nutritionists, pharmacists, nurses, and patients.
  • the instruction (in the form of a prompt) given to the HIS (100) may be as follows: "Based on the patient's test results, I made a diagnosis A and prescribed a prescription such as B. Please evaluate this.”
  • the HIS may search for generic drugs that can be substituted for the current prescription and recommend a prescription that is cheaper for the patient but has the same mechanism.
  • the instruction may be "The patient has been diagnosed with A and prescribed B. Tell me about the appropriate diet and foods to avoid.”
  • the patient can also receive information using the HIS (100), and an image such as a medicine bag can be transmitted to the HIS (100) using a computing device (110).
  • the above instruction could be, "I was diagnosed with A by a doctor and prescribed B. Please check the photo of the medicine bag that was delivered with it and explain to the pharmacist whether I was prescribed the correct medicine, how to take it, and what precautions to take.”
  • the users may include producers, agricultural researchers, wholesalers, retailers, etc.
  • HIS HIS
  • the information provided by the HIS (100) of the present invention may be formatted for readability.
  • the HIS (100) may search for relevant data by category based on the user's instructions and tasks, and provide text that analyzes the data and a summary of the analyzed text.
  • the text may have a highly readable structure, such as a three-part structure consisting of an introduction, body, and conclusion.
  • FIG. 3 is a drawing showing an example of a method for a HIS related to a hospital to classify data and create a flow chart according to one embodiment of the present invention.
  • the HIS (100) of the present invention can obtain hospital data from a system of a specific hospital, such as step S300.
  • steps S310 and S311 if the system of the specific hospital is not a smart hospital system, the data may be classified as dumped data. This is because if the system of the specific hospital is a smart hospital system, the data is likely to be categorized, but if it is not a smart hospital system, the data is unlikely to be categorized.
  • the HIS (100) may determine a category classification of the data at step S320.
  • the category classification may be related to the source or task for which the information was generated.
  • the category classification may include keywords such as "smart hospital, vehicle internet, robotic arm, and personal chatbot (Open API)."
  • the HIS (100) can determine the category sub-classification of the data classified into the above categories.
  • the category sub-classification may include keywords related to occupation, position, and task.
  • the HIS (100) can inspect whether the category classification is complete based on the data. If the HIS (100) determines during the inspection process that the category classification is incomplete, it can extract some unclassified data from the data and classify them separately as dumping data. Subsequently, the HIS (100) can re-perform steps S320 to S340 based on the separately classified dumping data.
  • the HIS can create a flowchart based on data with all categories classified. However, because categories deemed semantically identical increase the complexity of category classification, the flowchart can be optimized by unifying the category names.
  • FIG. 4 is a diagram illustrating an example of a process in which an HIS provides information upon receiving instructions and tasks related to a prescription according to one embodiment of the present invention.
  • FIG. 4 an embodiment of a method for HIS (100) to provide information related to a prescription will be described.
  • HIS (100) can receive instructions for prescription and tasks from the user's computing device (110).
  • the HIS (100) can select data (400) classified into detailed categories related to the prescription using the flow chart, and examine (410) whether the selected data is data related to the prescription. (At this time, the selected data may include data related to a doctor's examination.)
  • the task of reclassifying the category of the data can be scheduled or performed immediately (411).
  • the HIS (100) can create a first prescription (420) using the instructions for the prescription, the user's task, and the selected data.
  • the above HIS (100) can extract data related to a prescription search task based on instructions for a prescription and a user's task, and generate prescription search task information (430) based on the extracted data.
  • the above HIS (100) can extract data related to a DUR (Drug utilization review) inquiry task based on instructions for a prescription and a user's task, and generate DUR inquiry task information (440) based on the extracted data.
  • DUR Drug utilization review
  • the DUR search may include a judgment as to whether the prescription is a reasonable prescription or not.
  • the HIS (100) may generate a secondary prescription according to the user's instruction. If the secondary prescription is not generated, the HIS may output (420) the primary prescription, data related to the search task, and data related to the DUR search task to the computing device (110) being used by the user, and if the secondary prescription is generated, the HIS (100) may generate (460) the secondary prescription based on the primary prescription, data related to the search task, and data related to the DUR search task, and output the secondary prescription, DUR search task, and prescription search task information to the user's computing device (110).
  • FIG. 5 is a diagram illustrating an example of a flow chart including categories related to a hospital according to one embodiment of the present invention.
  • the flow chart of the present invention can be understood as a type of relational database that classifies the relationships between upper and lower categories of categorized data.
  • the flow chart can reference data related to each category.
  • the HIS (100) of the present invention and the artificial intelligence model used by the HIS (100) can reference data related to instructions and tasks to generate information.
  • referencing all the contents of the data may result in excessive computational load and reduced search accuracy. Therefore, the accuracy of the search can be improved by searching by category.
  • An example of the flow chart can be seen in FIG. 5.
  • the flow chart includes categories related to a hospital system, and major categories include smart hospital, vehicle internet, robotic arm, and personal chatbot.
  • the smart hospital can include categories of data related to the hospital system as detailed categories.
  • the above vehicle internet may include data related to emergency vehicle systems or vehicles for home nursing as detailed categories.
  • the robotic arm may include data from a medical system utilizing the robotic arm. While this example is limited to a robotic arm, in actual use cases, a broad category called "robot" exists, and this broad category may include data on robots in general.
  • the personal chatbot may include categories related to data generated from the personal chatbot that patients or medical professionals use as a reference when performing their work.
  • the above subcategories may primarily include task-related subcategories, but are not limited to this and may include various subcategories.
  • task-oriented subcategories such as treatment, pharmacy (or pharmacist), nursing, prescription, special nursing, and administrative affairs may be included.
  • the prescription category may include data in the form of a series of text chunks.
  • the prescription category may include at least one of the following subcategories: test prescription, special treatment prescription, or instruction prescription.
  • the category classification task of the present invention is performed using the same AI model that provides information to the user. However, the categories can be manually readjusted by an administrator as needed. Furthermore, if there are semantically similar categories among the categories, similar categories can be merged.
  • subcategories may have different major categories. That is, even if the subcategories have the same names, if the major categories are different, it is desirable to understand them as distinct categories, although they are related.
  • the AI model searches for the names of specific subcategories, similarities in tasks may exist even if the major categories are different. Therefore, information may be generated by reflecting this fact and provided to the user's computing device (110).
  • FIG. 6 is a diagram illustrating a flowchart of a method in which a computing device using an HIS according to one embodiment of the present invention provides information to a user.
  • the computing device (110) may perform a step (S600) of transmitting a user's task and order to the HIS to obtain generated output information.
  • the computing device (110) may perform a step of outputting the obtained output information and transmitting it to the user.
  • the HIS classifies the data into categories based on tasks, and creates a flow chart based on the classified categories.
  • the HIS can create the output information based on the user's tasks and instructions received from the computing device and the flow chart.
  • the data includes first data generated in a smart hospital system and second data generated in a system other than the smart hospital system, and when the HIS classifies categories using the first data, the HIS can determine a major classification category related to the first data, determine a detailed classification category related to the first data, and create the flow chart based on the major classification category and the detailed classification category related to the first data.
  • the HIS can regard data among the second data whose categories are not classified as dumping data, and repeat determining a major classification category, determining a detailed classification category, and filtering the dumping data until all the dumping data are classified, and when there is no more dumping data to be filtered, create the flow chart based on the second data.
  • the HIS when the computing device transmits a task and an instruction related to a prescription from a user to the HIS, extracts data having a category related to the prescription based on the flow chart, examines whether the extracted data is related to the prescription, and if the extracted data passes the examination, creates a first prescription based on the extracted data and the task and instruction, creates information related to a prescription search task based on the flow chart, and creates a second prescription based on the created first prescription, information related to the prescription search task, and Drug Utilization Review (DUR) information, and if the extracted data fails the examination, reclassifies the category of the extracted data, and extracts data having a category related to the prescription again based on the flow chart, and examines whether the extracted data is related to the prescription.
  • DUR Drug Utilization Review
  • the major classification categories included in the flow chart include smart hospitals, vehicle internet, robotic arms, and personal chatbots
  • the detailed classification categories included in the flow chart include at least one of categories related to tasks including pharmacy, nursing, prescription, special nursing, general affairs, home nursing, material prescription, surgical prescription, drug prescription, prescription, nursing, pharmacist, nutritionist, and integrated reservation
  • the detailed classification categories may include at least one level of subcategories related to more detailed tasks.
  • the flow chart of the present invention includes a flow chart related to agriculture, and the flow chart related to agriculture may be characterized by including at least one of a farm, a producer group, a producer distributor, a wholesale market, a middleman, or a retailer as a major classification category.
  • the computing device (110) transmits the user's task and instructions to the HIS (100)
  • the user may be replaced with "unknown.” That is, even if the user does not necessarily transmit information about the task to the HIS (100), the HIS (100) may transmit general information to the user's computing device (110).
  • users of the HIS of the present invention may be charged a fee.
  • the criteria for charging this fee may be proportional to the amount of computation performed by the AI model of the present invention.
  • the computing device (110) "(Step I) derives the difficulty of the project using the HIS (100)", "(Step II) predicts the necessary personnel composition according to the difficulty of the project (e.g., determines the capabilities of project members and determines whether the project members can perform the business)", and "(Step III) calculates an estimate according to the difficulty of the project.
  • the computing device (110) may input reference materials (e.g., a chunk of text) related to the purpose, title, and description of a virtual project, Project A, in the form of a prompt to the HIS (100), and additionally input a prompt such as "Based on this, derive the difficulty level of Project A.”
  • the HIS (100) may classify the difficulty level of Project A into beginner, intermediate, advanced, and special levels, and output the reason for the classification.
  • the computing device (110) can input the careers of members, etc. from the application documents of a virtual organization B that wishes to apply for Project A, into the HIS (100) in the form of a prompt (e.g., a text bundle), and calculate the competency level of each member.
  • the competency level can be classified into beginner, intermediate, advanced, special, etc.
  • the computing device (110) can output an analysis result as to whether or not the organization B is suitable for Project A based on the difficulty of the project A and the competency level of the members of the organization B.
  • the HIS can exclude organizations that include members with beginner and intermediate competencies when selecting an organization suitable for Project A, or can select organizations that require members with special or advanced competencies to be included in the organization as a prerequisite.
  • the computing device (110) may cause the HIS (100) to generate a quotation based on the capabilities of the selected organization.
  • the quotation may include an amount proportional to the capabilities of the selected organization (e.g., unit prices for each organization member may be calculated and added together).
  • the HIS (100) can derive the project's difficulty level based on the reference material. However, it may be determined that the reference material is not rich in content, making it difficult to derive the level of difficulty, or that project members may have difficulty understanding the reference material. In this case, the HIS can generate feedback based on the reference material regarding which parts need further reinforcement. (For example, a prompt such as "Which part of the attached reference material would be best to reinforce?" may be included along with the reference material.)
  • the HIS (100) can output based on prompts, but even when the same prompt is input, different results may be output. Conversely, when configuring a prompt using text with similar nuances and identical meaning, similar results may be output.

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Abstract

La présente invention concerne un procédé, mis en œuvre par un dispositif informatique, pour fournir des informations à l'aide d'un système d'informations centrées sur l'homme (HIS), le procédé comprenant les étapes suivantes : le dispositif informatique acquiert des informations de sortie générées par la transmission d'une tâche et d'un ordre d'un utilisateur au HIS ; et le dispositif informatique délivrant, à l'utilisateur, les informations de sortie acquises en les délivrant, lorsque le HIS acquiert des données, le HIS classifie les données en catégories sur la base de tâches et génère un ordinogramme sur la base des catégories classifiées, et lorsque le HIS génère les informations de sortie, le HIS génère les informations de sortie sur la base de la tâche et de l'ordre de l'utilisateur transmis à partir du dispositif informatique et de l'ordinogramme.
PCT/KR2024/005016 2024-04-15 2024-04-15 Procédé de fourniture d'informations à l'aide d'un système d'informations centré sur l'homme Pending WO2025220757A1 (fr)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100092981A (ko) * 2008-02-22 2010-08-23 후지쯔 가부시끼가이샤 업무 흐름 처리 방법 및 장치
KR20140096092A (ko) * 2011-11-17 2014-08-04 바이엘 메디컬 케어 인크. 의료 진단 절차들에 관한 정보를 수집하고 보고하고 관리하는 방법들 및 기법들
WO2016065172A1 (fr) * 2014-10-24 2016-04-28 Eingot Llc Accès et gestion de dossiers
KR20170138761A (ko) * 2016-06-08 2017-12-18 재단법인 아산사회복지재단 의료정보 제공 시스템, 방법 및 컴퓨터 판독 가능한 기록매체
KR20230105897A (ko) * 2022-01-05 2023-07-12 동은정보기술주식회사 환자의 의료데이터 능동 수집 시스템 및 방법

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100092981A (ko) * 2008-02-22 2010-08-23 후지쯔 가부시끼가이샤 업무 흐름 처리 방법 및 장치
KR20140096092A (ko) * 2011-11-17 2014-08-04 바이엘 메디컬 케어 인크. 의료 진단 절차들에 관한 정보를 수집하고 보고하고 관리하는 방법들 및 기법들
WO2016065172A1 (fr) * 2014-10-24 2016-04-28 Eingot Llc Accès et gestion de dossiers
KR20170138761A (ko) * 2016-06-08 2017-12-18 재단법인 아산사회복지재단 의료정보 제공 시스템, 방법 및 컴퓨터 판독 가능한 기록매체
KR20230105897A (ko) * 2022-01-05 2023-07-12 동은정보기술주식회사 환자의 의료데이터 능동 수집 시스템 및 방법

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