WO2023100985A1 - 情報処理システム、情報処理方法、プログラム - Google Patents

情報処理システム、情報処理方法、プログラム Download PDF

Info

Publication number
WO2023100985A1
WO2023100985A1 PCT/JP2022/044439 JP2022044439W WO2023100985A1 WO 2023100985 A1 WO2023100985 A1 WO 2023100985A1 JP 2022044439 W JP2022044439 W JP 2022044439W WO 2023100985 A1 WO2023100985 A1 WO 2023100985A1
Authority
WO
WIPO (PCT)
Prior art keywords
information
disease
related information
subject
visualization
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2022/044439
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
豊和 齋木
義人 永野
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tanabe Pharma Corp
Original Assignee
Mitsubishi Tanabe Pharma Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mitsubishi Tanabe Pharma Corp filed Critical Mitsubishi Tanabe Pharma Corp
Priority to US18/715,127 priority Critical patent/US20250022598A1/en
Priority to JP2023565089A priority patent/JPWO2023100985A1/ja
Priority to KR1020247021669A priority patent/KR20240121259A/ko
Publication of WO2023100985A1 publication Critical patent/WO2023100985A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Instruments for taking body samples for diagnostic purposes; Other methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determination; Throat striking implements
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
    • 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
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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
    • G16H70/00—ICT specially adapted for the handling or processing of medical references

Definitions

  • the present invention relates to an information processing system, information processing method, and program for visualizing disease-related information of optic nerve diseases including neuromyelitis optica spectrum disorder.
  • Neuromyelitis optica spectrum disorder (hereinafter also referred to as "NMOSD”) is said to have a prevalence of 2 to 4 per 100,000 people in Japan, and is a central nervous system disorder that can be fatal with repeated severe relapses. It is an autoimmune disease. The body's immune system attacks healthy cells (generally the optic nerve, spinal cord, and brain), causing relapse and serious injury, resulting in eye pain, blindness, severe muscle weakness, paralysis, and numbness. , can cause bowel and bladder dysfunction and respiratory failure.
  • NOSD Neuromyelitis optica spectrum disorder
  • Patent Document 1 describes an invention relating to an anti-inflammatory preparation that improves or alleviates the symptoms of neuromyelitis optica.
  • NMOSD is a disease with repeated severe relapses.
  • patients often do not adequately communicate symptoms that may be related to recurrence to their physicians at the time of treatment, and both patients and physicians feel uneasy. Therefore, there is a need for a digital tool that can provide physicians with quantitative and qualitative information on patients during medical examinations and enable early detection of signs of NMOSD recurrence.
  • the present invention is intended to enable the transmission of information such as daily NMOSD-related symptoms from patients to doctors and, in the future, early detection of signs of recurrence from data entered by patients.
  • An object of the present invention is to provide an information processing system for visualizing disease-related information.
  • the main invention of the present invention for solving the above problems is based on a disease-related information acquisition unit that acquires disease-related information including at least optic nerve disease-related information of a subject, and the disease-related information including the optic nerve disease-related information.
  • a visualization information addition unit that adds generated visualization information to a diagram 1 representing the shape of at least a part of a human body, and generates display information including a diagram 2 in which the visualization information is added to the diagram 1. and a display information generation unit for generating the display information.
  • an information processing system for visualizing disease-related information, including optic nerve disease-related information, in order to easily discover signs of NMOSD recurrence.
  • FIG. 2 is a diagram illustrating an example hardware configuration of a server device 10;
  • FIG. 3 is a diagram illustrating an example of a software configuration of the server device 10;
  • FIG. 3 is a diagram showing a configuration example of a subject information storage unit 131.
  • FIG. 2 is a diagram showing a configuration example of a disease-related information storage unit 132.
  • FIG. 3 is a diagram showing an example of FIG. 2 included in display information;
  • One embodiment of the present invention has the following configuration.
  • a disease-related information acquiring unit that acquires disease-related information including at least optic nerve disease-related information of a subject; a visualization information addition unit for adding visualization information generated based on the disease-related information including the optic nerve disease-related information to FIG. 1 representing the shape of at least a part of a human body; and a display information generation unit that generates display information including FIG. 2 in which the visualization information is added to the FIG. 1.
  • the optic nerve disease-related information includes at least part of test result information of an examination using flicker stimulation for the subject.
  • the optic nerve disease-related information includes at least part of test result information of an examination using flicker stimulation for the subject.
  • the optic nerve disease-related information includes at least part of test result information of an examination using flicker stimulation for the subject.
  • a disease examination unit that provides an examination using the flicker stimulus.
  • the computing unit of the computer enables obtaining disease-related information including at least optic nerve disease-related information of a subject; adding visualization information generated based on the disease-related information including the optic nerve disease-related information to FIG. 1 representing the shape of at least a part of a human body; generating display information including FIG. 2 in which said visualization information is added to said FIG. 1;
  • a disease-related information acquisition function unit that acquires disease-related information including at least optic nerve disease-related information of a subject; a visualization information addition function unit that adds visualization information generated based on the disease-related information including the optic nerve disease-related information to FIG.
  • FIG. 1 representing the shape of at least a part of a human body
  • a display information generating function section for generating display information including FIG. 2 obtained by adding said visualization information to said FIG. 1, in a computer.
  • [Item 6] a disease-related information acquisition function unit that acquires disease-related information including at least optic nerve disease-related information of a subject; a visualization information addition function unit that adds visualization information generated based on the disease-related information including the optic nerve disease-related information to FIG. 1 representing the shape of at least a part of a human body;
  • a computer-readable recording medium recording a program for realizing, in a computer, a display information generating function section for generating display information including FIG. 2 in which the visualization information is added to the above FIG. 1.
  • FIG. 1 is a diagram showing a configuration example of an information processing system (hereinafter also referred to as “this system”) according to an embodiment of the present disclosure.
  • This system visualizes information generated based on disease-related information including at least optic nerve disease information of a subject (for example, including at least part of test result information of a flicker test by an application executed on a subject terminal). 2, which represents the shape of at least a part of the human body, is added to FIG.
  • FIG. 1 is a diagram showing an example of the overall configuration of an information processing system according to this embodiment.
  • a server device 10 a subject terminal 20, and a user terminal 30 are connected to communicate with each other via a communication network NW.
  • the communication network NW is, for example, the Internet or a LAN (Local Area Network), and is constructed by a public telephone line network, a dedicated telephone line network, a mobile phone line network, Ethernet (registered trademark), a wireless communication path, and the like.
  • the server device 10 is a computer that manages the entire information processing system.
  • the server device 10 is, for example, a workstation, a personal computer, a virtual computer that is logically realized by cloud computing, or the like.
  • the subject terminal 20 is a device owned by the subject 40 who is to be checked for disease-related information (hereinafter referred to as "disease-related information") by the user 50 (for example, a doctor), and may be a smartphone, a personal computer, or a tablet terminal. etc. are included. It should be noted that the subject terminal 20 can have an application program installed thereon, and the computing device of the subject terminal 20 can execute all or part of the functions executed by the server device 10 . It is also possible to store all or part of the information stored in the storage device 103 provided in the subject terminal 20 in the storage unit built in the subject terminal 20 .
  • all or part of the functions executed by the subject terminal 20 can be executed by the computing device of the server device 10 , and the functions stored in the storage device 103 provided in the subject terminal 20 are stored in the subject terminal 20 . All or part of the information can also be stored in a storage unit built into the server device 10 .
  • the user terminal 30 is a device used by the user 50 (for example, a doctor) to check the disease-related information of the subject, and includes personal computers, smart phones, tablet terminals, and the like. It should be noted that the user terminal 30 can have an application program installed thereon, can have an arithmetic device of the user terminal 30 execute all or part of the functions that are executed by the server device 10, and the server device 10 can have All or part of the information stored in the storage device 103 can be stored in the storage unit built into the user terminal 30 . Conversely, all or part of the functions executed by the user terminal 30 can be executed by the arithmetic device of the server device 10, and information stored in the storage device 103 provided in the user terminal 30 can be executed. All or part of them can be stored in a storage unit built in the server device 10 .
  • FIG. 2 is a diagram showing a hardware configuration example of a computer that implements the server device 10 in this embodiment.
  • the server device 10 includes an arithmetic device 101 , a memory 102 , a storage device 103 , a communication interface 104 , an input device 105 and an output device 106 . These are electrically connected to each other through a bus (not shown).
  • a bus not shown.
  • all or part of the functions executed by devices such as the storage device 103 and the arithmetic device 101 included in the server device 10 are provided in other devices such as the subject terminal 20 and the user terminal 30. can be made or carried out.
  • the computing device 101 controls the overall operation of the server device 10, controls transmission and reception of data between elements, executes applications, and performs information processing necessary for authentication processing.
  • the arithmetic unit 101 is, for example, a processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), and executes each information processing by executing a program stored in the storage device 103 and developed in the memory 102. .
  • the memory 102 includes a main memory composed of a volatile memory device such as a DRAM (Dynamic Random Access Memory), and an auxiliary memory composed of a non-volatile memory device such as a flash memory or a HDD (Hard Disc Drive). .
  • the memory 102 is used as a work area or the like for the arithmetic device 101 . It also stores the BIOS (Basic Input/Output System) executed when the server device 10 is started, various setting information, and the like.
  • BIOS Basic Input/Output System
  • the storage device 103 stores various data and various programs such as application programs.
  • various data and various programs such as application programs.
  • application programs for example, hard disk drives, solid state drives, flash memories, and the like.
  • the communication interface 104 is an interface for connecting the server device 10 to the communication network NW.
  • wireless communication device USB (Universal Serial Bus) connector and RS132C connector for serial communication. Connect to your network.
  • USB Universal Serial Bus
  • the input device 105 is, for example, a keyboard, mouse, touch panel, button, microphone, camera (imaging unit), etc. for inputting data.
  • the output device 106 is, for example, a display, printer, speaker, etc. that outputs data.
  • FIG. 3 is a diagram showing a software configuration example of the server device 10 in this embodiment.
  • the server device 10 includes functional units such as an information management unit 110, a disease-related information acquisition unit 111, a visualization information addition unit 112, a disease inspection unit 113, a display information generation unit 114, and a subject information storage unit.
  • a storage unit 131 and a disease-related information storage unit 132 are provided.
  • a user information storage unit (not shown) for storing information (eg, user ID, affiliation, contact information, etc.) related to a user (eg, doctor) may be provided as necessary.
  • each of the functional units described above is realized by reading out a program stored in the storage device 103 into the memory 102 and executing it by the arithmetic unit 101 provided in the server device 10, and each storage unit provided in the server device 10. It is implemented as part of the storage area provided by memory 102 and storage device 103 .
  • the target person information storage unit 131 stores information about the target person 40 .
  • FIG. 4 is a diagram showing a configuration example of the subject information storage unit 131.
  • the target person information stored in the target person information storage unit 131 includes basic information (personal information such as name, address, sex, age, etc.) in association with the target person ID that identifies the target person 40. ), physical information such as height and weight, and information such as medical history and progression related to optic nerve disease (especially NMOSD).
  • the disease-related information storage unit 132 stores disease-related information including information on various diseases such as test result information on various diseases of the subject 40 .
  • FIG. 5 is a diagram showing a configuration example of the disease-related information storage unit 132. As shown in FIG. As shown in the figure, the disease-related information storage unit 132 stores disease-related information, and in the disease-related information, the type of disease suffered by the subject is associated with the subject ID that identifies the subject. and disease target part information indicating the target part of the body where the disease that the target person is suffering from is linked to each disease type information, and linked to each disease type information. and test result information for the disease.
  • the subject information storage unit 131 and the disease-related information storage unit 132 are illustrated as being separated from each other for convenience, but the information contained in the disease-related information storage unit 132 All or part of them may be integrated into the subject information storage unit 131 .
  • the disease-related information is information related to various diseases of the subject 40, and includes optic nerve disease-related information, particularly related to NMOSD.
  • the disease-related information may be, for example, test result information generated by the subject 40 testing for various diseases using an application (including a web browser) executed on the subject terminal 20 .
  • the optic nerve disease-related information may be, for example, flicker test result information.
  • the test result information may be information on the result of the test provided from the disease test section 113 of the server device 10 to the subject terminal 20, or may be information from an external application in cooperation with an application outside the present system.
  • the information may be obtained by obtaining the results of the examinations provided, may be obtained via the subject terminal 20, or may be obtained by direct access from the server device 10.
  • the information management unit 110 reads predetermined information from various storage units and transmits it to the outside (for example, the subject terminal 20 or the user terminal 30), receives predetermined information from the outside, and stores it in the corresponding storage unit. or As a more specific example, for example, in response to a request transmitted from the user terminal 30 by user operation, predetermined information is read from the subject information storage unit 131, the disease-related information storage unit 132, or the like, and sent to the user terminal 30. Alternatively, test result information generated by an application (including a web browser) executed on the subject terminal 20 may be received and stored in the disease-related information storage unit 132 .
  • the disease-related information acquisition unit 111 acquires disease-related information (in particular, optic nerve disease-related information) stored in the disease-related information storage unit 132 in response to a request from the user terminal 30 .
  • disease-related information in particular, optic nerve disease-related information
  • the visualization information addition unit 112 adds visualization information generated based on disease-related information (especially optic nerve disease-related information) to FIG. 1, which represents the shape of at least a part of the human body.
  • FIG. 1 to which visualization information is added is referred to as FIG.
  • the generated visualization information may be in different modes depending on the disease degree information determined based on the disease-related information.
  • the disease degree information is the degree of disease shown in the test result information (for example, information about the degree of disease expressed as A to F as test results).
  • the degree of disease according to the comparison result between the numerical value indicated in the test result information and a predetermined reference value may also be information that divides the classification indicating the degree and indicates corresponding disease degree classification information according to the comparison result.
  • the classification may be a sequence of letters such as AF or IV, similar to the test result, or a sequence of letters such as safety-caution-danger. Alternatively, the administrator or user of the server apparatus 10 may appropriately set the classification.
  • the visualization information may be a figure (star mark in FIG. 6) indicating the position of the disease based on either disease type information or disease target site information.
  • the size or shape of the graphic differs (for example, the larger the degree of the disease, the larger the circle; (eg, blue for mild disease, red for severe disease, etc.).
  • the visualization information may be colored at the position of the disease instead of the figure, or may be colored with a plurality of colors in a so-called heat map based on the disease degree information (for example, if there is no disease, it is colorless). or white, blue for mild disease, red for severe disease, etc.).
  • the visualization information may be text information attached to the vicinity of the position of the disease based on either disease type information or disease target site information, and predetermined text information (for example, , text information prompting confirmation such as "confirmation required" as exemplified in FIG. (e.g. follow-up, confirmation required, etc.).
  • the visualization information may be text information indicating the name of the disease based on the disease type information, or may be text information referring to information included in the test result information (for example, numerical values of test results, degree of disease, etc.). may Note that as shown in FIG. 6, graphics and text information may be displayed in combination.
  • the disease testing unit 113 is a functional unit provided when the server device 10 provides testing methods to acquire the above-described testing result information, and provides testing corresponding to various diseases.
  • the inspection may be, for example, an inspection such as a flicker inspection using flicker stimulation (for example, stimulation by blinking light, etc.).
  • the flicker test or the like increases or decreases the blinking frequency of light that blinks as a flicker stimulus in the subject terminal 20 (for example, a pixel at a predetermined position displayed on the subject terminal 20), or
  • the brightness difference (contrast) between the high brightness and low brightness of the blinking light is changed and presented to the subject 40, and when the blinking state changes (when the blinking becomes visible or visible) ), according to the input operation of the subject 40, the setting information at that time (for example, blinking frequency, switching frequency, high and low brightness values at the time of switching, etc.) is stored in the disease-related information storage unit 132
  • the setting information at that time for example, blinking frequency, switching frequency, high and low brightness values at the time of switching, etc.
  • the display information generation unit 114 generates display information (including FIG. 2 in which visualization information is added to FIG. 1) for performing a predetermined display on the display unit of the subject terminal 20. Note that when a predetermined display is controlled by an application on the subject terminal 20 instead of a web service via a web browser, part or all of the functions of the display information generation unit 114 may be performed by the subject terminal 20. It may be provided in the processing section.
  • FIG. 2 in which visualization information generated based on disease-related information including optic nerve disease-related information based on a flicker test is added to FIG. 1 showing the shape of at least a part of the human body.
  • the user 50 such as a doctor can easily grasp the disease state of the NMOSD. In the future, it will be possible to detect early signs of recurrence from patient-input data.
  • FIG. 7 is a diagram showing the flow of processing executed in the information processing system of this embodiment.
  • the information management unit 110 of the server device 10 receives input of information about the subject 40 (for example, patient) and stores the subject information in the subject information storage unit 131 .
  • the subject information may be input by the user 50 via the user terminal 30 or may be input by the subject 40 via the subject terminal 20 .
  • the subject 40 executes an examination (especially a flicker examination) related to various diseases on the subject terminal 20, so that the disease-related information (especially, optic nerve disease-related information) is transferred to the disease-related information.
  • an examination especially a flicker examination
  • the disease-related information especially, optic nerve disease-related information
  • step S101 the disease-related information acquisition unit 111 acquires disease-related information (in particular, optic nerve disease-related information) stored in the disease-related information storage unit 132 in response to a request from the user terminal 30.
  • disease-related information in particular, optic nerve disease-related information
  • the visualization information addition unit 112 adds visualization information generated based on disease-related information (especially, optic nerve disease-related information) to FIG. 1 representing the shape of at least a part of the human body. .
  • step S103 the display information generation unit 114 generates display information (including FIG. 2 in which visualization information is added to FIG. 1) for performing a predetermined display on the display unit of the subject terminal 20. .
  • step S104 the information management unit 110 transmits the display information generated in response to the request from the user 50 to the user terminal 30.
  • an information processing system for visualizing disease-related information including optic nerve disease-related information in order to easily discover signs of NMOSD recurrence.
  • the server device 10, the subject terminal 20, and the user terminal 30 are connected to each other via the communication network NW.
  • a third party terminal (not shown) possessed by the third party may also be connected via the communication network NW.
  • a third party terminal is a device owned by a third party, and includes a personal computer, a smart phone, a tablet terminal, and the like.
  • Third parties include, for example, target parties such as the family and caregivers of the target person 40, employees of medical device companies, employees of pharmaceutical companies, employees of contract drug development organizations, clinical trial participants, etc. It may be an external organization related party.
  • the above disease-related information especially, optic nerve disease-related information
  • At least one of Fig. 2 may be received and the received information may be displayed so that a third party can check it via a third party terminal.
  • the target person concerned ID of the target person 40 such as a family member or a caregiver
  • the target person 40 By executing the process of associating the subject ID, the disease-related information of the subject 40 and FIG. Confirmation may be made possible.
  • the subject 40 becomes a person requiring care, the disease state can be easily confirmed even by the subject concerned who is providing care.
  • the third party terminal of the external organization related party can also receive the disease-related information related to the permitted subject 40, and the external organization related party is also permitted to receive it.
  • the disease state of the subject 40 may be confirmed.
  • information that does not include at least one of the name and address of the authorized subject 40 for example, information that has been anonymized by the server device 10 etc. may be configured to be transmitted.
  • the information processing system described above can also be applied to other neurological diseases such as multiple sclerosis (MS).
  • MS multiple sclerosis
  • a disease-related information acquiring unit that acquires disease-related information including at least neurological disease-related information of a subject
  • a visualization information addition unit that adds visualization information generated based on the disease-related information including the neurological disease-related information to FIG. 1 representing the shape of at least a part of a human body
  • a display information generating unit that generates display information including FIG. 2 in which the visualization information is added to the FIG. 1
  • An information processing system characterized by may be

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Ophthalmology & Optometry (AREA)
  • Biophysics (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
PCT/JP2022/044439 2021-12-03 2022-12-01 情報処理システム、情報処理方法、プログラム Ceased WO2023100985A1 (ja)

Priority Applications (3)

Application Number Priority Date Filing Date Title
US18/715,127 US20250022598A1 (en) 2021-12-03 2022-12-01 Information processing system, information processing method, and program
JP2023565089A JPWO2023100985A1 (https=) 2021-12-03 2022-12-01
KR1020247021669A KR20240121259A (ko) 2021-12-03 2022-12-01 정보 처리 시스템, 정보 처리 방법, 프로그램

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2021197223 2021-12-03
JP2021-197223 2021-12-03

Publications (1)

Publication Number Publication Date
WO2023100985A1 true WO2023100985A1 (ja) 2023-06-08

Family

ID=86612267

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2022/044439 Ceased WO2023100985A1 (ja) 2021-12-03 2022-12-01 情報処理システム、情報処理方法、プログラム

Country Status (5)

Country Link
US (1) US20250022598A1 (https=)
JP (1) JPWO2023100985A1 (https=)
KR (1) KR20240121259A (https=)
TW (1) TW202331551A (https=)
WO (1) WO2023100985A1 (https=)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005131393A (ja) * 2003-10-30 2005-05-26 Welch Allyn Inc 光学的に識別可能な眼の症状の診断のための装置及び方法
JP2010142428A (ja) * 2008-12-18 2010-07-01 Canon Inc 撮影装置及び撮影方法、プログラム、記録媒体
US20140081130A1 (en) * 2010-08-05 2014-03-20 Carl Zeiss Meditec, Inc. Automated analysis of the optic nerve head: measurements, methods and representations

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013126465A1 (en) * 2012-02-21 2013-08-29 MEDEIROS, Felipe, A. Systems and methods for determining retinal ganglion cell populations and associated treatments
EP3068424B1 (en) 2013-11-13 2020-09-09 Shire ViroPharma LLC Compositions and methods useful for the treatment of neuromyelitis optica spectrum disorders
KR102491130B1 (ko) * 2016-06-20 2023-01-19 매직 립, 인코포레이티드 시각적 프로세싱 및 지각 상태들을 포함하는 신경학적 상태들의 평가 및 수정을 위한 증강 현실 디스플레이 시스템

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005131393A (ja) * 2003-10-30 2005-05-26 Welch Allyn Inc 光学的に識別可能な眼の症状の診断のための装置及び方法
JP2010142428A (ja) * 2008-12-18 2010-07-01 Canon Inc 撮影装置及び撮影方法、プログラム、記録媒体
US20140081130A1 (en) * 2010-08-05 2014-03-20 Carl Zeiss Meditec, Inc. Automated analysis of the optic nerve head: measurements, methods and representations

Also Published As

Publication number Publication date
US20250022598A1 (en) 2025-01-16
KR20240121259A (ko) 2024-08-08
TW202331551A (zh) 2023-08-01
JPWO2023100985A1 (https=) 2023-06-08

Similar Documents

Publication Publication Date Title
US20230129639A1 (en) Patient-centric health record system and related methods
Blue et al. Telemedicine in the era of coronavirus disease 2019 (COVID-19): a neurosurgical perspective
Mazzuca et al. Applications and current medico-legal challenges of telemedicine in ophthalmology
Lavin et al. Bridging the healthcare gap: building the case for epilepsy virtual clinics in the current healthcare environment
Mayora et al. Personal health systems for bipolar disorder anecdotes, challenges and lessons learnt from monarca project
KR20130095443A (ko) 휴대용 사용자 단말 및 이를 이용한 모바일 의료 정보 시스템
Porche et al. Using telemedicine to facilitate thrombolytic therapy for patients with acute stroke
Roy An overview of artificial intelligence (AI) intervention in Indian healthcare system
Manirajan et al. Enhancing knowledge, attitude, and perceptions towards fall prevention among older adults: a pharmacist-led intervention in a primary healthcare clinic, Gemas, Malaysia
WO2023100985A1 (ja) 情報処理システム、情報処理方法、プログラム
Hanrahan et al. An evaluation of the safety and effectiveness of telephone triage in prioritising patient visits to an ophthalmic emergency department—The impact of COVID-19
Fageir et al. A closer look at dementia patients’ barriers to telemedicine utilization during the COVID-19 pandemic. EUR J ENV PUBLIC HLT. 2023; 7 (4): em0146
Merino et al. Atypical restrictive strabismus secondary to an anomalous orbital structure: differential diagnosis
Neter et al. Using an intervention mapping approach to improve adherence to disease-modifying treatment in multiple sclerosis
US20200069181A1 (en) I-Examination
Chin et al. Evaluation of patient experiences with PocDoc, a web-based eye screening tool
Krupinski et al. Telehealth and virtual care
Garg et al. Remote imaging capture with widefield swept-source OCT angiography during the COVID-19 Pandemic
Dominguez et al. The lost years: the challenge of delivering reproductive health care to young adults
US20180114593A1 (en) Patient living record
WO2019130494A1 (ja) コンピュータシステム、アラート方法及びプログラム
Girija et al. Opportunities and challenges in telemedicine implementation
Borycki et al. Precision and Virtual Care
Banerjee et al. 14 Utilizing Cyberspace for Telemental Health
Nazarko Intermediate care: the nursing contribution

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22901415

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2023565089

Country of ref document: JP

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 18715127

Country of ref document: US

ENP Entry into the national phase

Ref document number: 20247021669

Country of ref document: KR

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 22901415

Country of ref document: EP

Kind code of ref document: A1