NEXT BEST ACTION BASED ON MENTAL PREDICTIVE MODEL OF PATIENT MENTAL HEALTH

    公开(公告)号:US20230094344A1

    公开(公告)日:2023-03-30

    申请号:US18062574

    申请日:2022-12-06

    IPC分类号: G16H50/30 G16H10/20

    摘要: A method may include collecting sensor data related to a physical or mental health of a patient. The method may include determining a series of mental evidence nodes. The method may include determining a series of mental states of the patient. Each mental state is associated with a single mental evidence node. The method may include determining an expected value for each mental evidence node based on a mental baseline of the patient. The method may include determining, after each day, a value for each corresponding mental evidence node, wherein the value for each mental evidence node includes a value from each associated mental state. The method may include determining, after each day, a deviation of the patient from the expected value. The method may include generating a mental predictive model of the mental health of the patient based on the deviation of the patient from the expected value.

    NEXT BEST ACTION BASED ON PHYSICAL PREDICTIVE MODEL OF PATIENT PHYSICAL HEALTH

    公开(公告)号:US20230187077A1

    公开(公告)日:2023-06-15

    申请号:US18062572

    申请日:2022-12-06

    IPC分类号: G16H50/30 G16H10/20

    CPC分类号: G16H50/30 G16H10/20 G16H40/60

    摘要: A method may include collecting sensor data related to a physical or mental health of a patient. The method may include determining a series of physical evidence nodes. The method may include determining a series of physical states of the patient. Each physical state is associated with a single physical evidence node. The method may include determining an expected value for each physical evidence node based on a physical baseline of the patient. The method may include determining, after each day, a value for each corresponding physical evidence node, wherein the value for each physical evidence node includes a value from each associated physical state. The method may include determining, after each day, a deviation of the patient from the expected value. The method may include generating a physical predictive model of the physical health of the patient based on the deviation of the patient from the expected value.

    NEXT BEST ACTION TO MANAGE CHRONIC DISEASE COMPLIANCE BASED ON PATIENT LIFESTYLE

    公开(公告)号:US20230096879A1

    公开(公告)日:2023-03-30

    申请号:US18062571

    申请日:2022-12-06

    IPC分类号: G16H50/30 G16H10/20

    摘要: A method may include collecting sensor data related to a set of lifestyle activities related to one or more chronic diseases of a patient. The method may include collecting patient data that indicates at least one of a biological, psychological, or social profile of the patient, and one or more lifestyle choice prescriptions of the patient. The method may include receiving patient input that indicates compliance of the patient with the lifestyle choice prescriptions. The method may include determining a lifestyle choice compliance (LCC) score of the patient based on at least one of the sensor data related to the set of lifestyle activities and the patient input that indicates compliance of the patient with the lifestyle choice prescriptions. The method may include generating an LCC result, wherein the LCC result includes the LCC score of the patient. The method may include providing the LCC result to a care-provider.