RISK PREDICTION APPARATUS, RISK PREDICTION METHOD, AND COMPUTER PROGRAM

    公开(公告)号:US20220399122A1

    公开(公告)日:2022-12-15

    申请号:US17771899

    申请日:2019-11-01

    Abstract: A risk prediction apparatus includes: an acquisition unit that obtains risk transition data indicating a transition of a risk of deterioration of symptoms from a target patient; an accumulation unit that accumulates the risk transition data of a past about a plurality of patients; a prediction unit that predicts a future change in the risk of the target patient on the basis of the risk transition data about the target patient obtained by the acquisition unit and the risk transition data of the past accumulated in the accumulation unit; and a determination unit that determines whether or not to take a measure for the target patient on the basis of the change in the risk predicted by the prediction unit. This makes it possible to appropriately determine whether or not to take a measure for the patient.

    INFORMATION PROCESSING METHOD
    13.
    发明申请

    公开(公告)号:US20220285030A1

    公开(公告)日:2022-09-08

    申请号:US17632871

    申请日:2019-08-21

    Abstract: An information processing apparatus according to the present invention includes an input unit and a generating unit. The input unit accepts input of a first assessment value representing assessment of a subject at a predetermined moment and a second assessment value representing assessment of the subject after a lapse of a predetermined time from the predetermined moment for each of a plurality of items set in FIM (Functional Independence Measure). The generating unit generates a model for calculating the second assessment value with respect to the first assessment value for each of the plurality of items of the FIM based on information representing an association between the items of the FIM.

    LIVING BODY DETERMINATION DEVICE, LIVING BODY DETERMINATION METHOD, AND PROGRAM

    公开(公告)号:US20180239944A1

    公开(公告)日:2018-08-23

    申请号:US15759880

    申请日:2016-09-09

    Abstract: A living body is accurately determined while minimizing increases in the size of a device and increases in the number of components. A living body determination device includes a spectroscopic device 104 that disperses light entering from a pedestal side and outputs the result; a light emission device 101 that emits first light toward the pedestal from a position facing the spectroscopic device 104 with the pedestal therebetween; a light emission device 102 that emits second light toward the pedestal from the spectroscopic device 104 side; an image acquisition device 105 that outputs image information indicating a brightness corresponding to the intensity of the light output by the spectroscopic device 104; and a calculation device 106 that acquires first image information regarding each of the spectra of the first light from the image acquisition device 105, acquires first spectroscopic information on the basis of each of the pieces of first image information, acquires second image information regarding each of the spectra of the second light from the image acquisition device 105, acquires second spectroscopic information on the basis of each of the pieces of second image information, and determines whether or not a measurement target 10a is a living body, based on the first and second spectroscopic information.

    RECEIPT DATA EXAMINATION DEVICE, RECEIPT DATA EXAMINATION METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20240047054A1

    公开(公告)日:2024-02-08

    申请号:US18380869

    申请日:2023-10-17

    CPC classification number: G16H40/20

    Abstract: Based on receipt data indicating a detailed statement of medical fees, receipt data conversion information indicating a presence or absence of a medical care information item that corresponds to a plurality of examination failure conditions is generated. A failure risk level based on the medical care information item included in the receipt data is calculated by using the receipt data conversion information and an examination failure risk predictor. A risk factor indicating a medical care information item with a degree of contribution to the failure risk level calculation that is greater than or equal to a prescribed threshold value for degree of contribution is specified. A revision screen for the medical care information item that is a risk factor when the failure risk level is greater than or equal to a prescribed threshold value for risk level is output.

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