MEDICATION SUPPORT APPARATUS, METHOD, AND PROGRAM

    公开(公告)号:US20190385723A1

    公开(公告)日:2019-12-19

    申请号:US16554918

    申请日:2019-08-29

    Abstract: An apparatus includes a generation unit and a transmission unit. The generation unit generates, for a patient, first information indicating a status of drug compliance based on a acquired drug-taking information, and generates second information to display types and amounts of medicine included in medication information, transition of blood pressure value based on blood pressure measurement information, and the generated first information in a time line in association with one another, based on information indicating medication date and time, measurement date and time, and drug-taking date and time respectively included in the medication information, the blood pressure measurement information, and the drug-taking information. The transmission unit transmits the generated second information to a terminal.

    Disease onset risk prediction device, method, and non-fugitive recording medium for storing program

    公开(公告)号:US11963802B2

    公开(公告)日:2024-04-23

    申请号:US16906300

    申请日:2020-06-19

    CPC classification number: A61B5/7275 A61B5/02125 A61B5/4806 A61B5/7246

    Abstract: Prediction of a disease onset risk is enabled by focusing on characteristic change in biological information depending on a time period. A prediction device SV acquires blood pressure data and determination data on irregular pulse waves and acquires input data indicating a sleep time period or information indicating a determination result of a sleep condition. Further, based on the input data indicating the sleep time period or the information indicating the determination result of the sleep condition, the sleep time period is set as a prediction target period and is divided into a first half and a second half. A degree of change in the blood pressure data and a degree of change in frequency of occurrence of irregular pulse waves in each of the first half time period and the second half time period are calculated and multiplied. With this, a total risk in the sleep time period is calculated. Further, by comparing the total risk with a determination threshold, whether an onset risk for cardiovascular and cerebrovascular diseases is high or low is determined.

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