Abstract: The present disclosure pertains to a system configured to predict a lucidity level of a subject.

Abstract: The present system is configured to track informal observations by multiple caregivers about a care recipient and provide actionable feedback to the multiple caregivers for managing health of the care recipient based on informal observations. Informal caregivers are constantly observing the health and/or wellness of care recipients they provide care for. Within families for example, multiple informal caregivers coordinate the care they provide for a care recipient amongst each other to balance the workload. These caregivers observe the same care recipient often on different occasions, from different perspectives, and with varying levels of subjectivity. Keeping an eye out for abnormal behavior by the care recipient, changes in capabilities of the care recipient, and/or potential disease progression, for example, are pieces of data caregivers commonly observe in an informal, rarely structured way.

Abstract: The present system is configured to track informal observations by multiple caregivers about a care recipient and provide actionable feedback to the multiple caregivers for managing health of the care recipient based on the informal observations. Informal caregivers are constantly observing the health and/or wellness of care recipients they provide care for. Within families for example, multiple informal caregivers coordinate the care they provide for a care recipient amongst each other to balance the workload. These caregivers observe the same care recipient often on different occasions, from different perspectives, and with varying levels of subjectivity. Keeping an eye out for abnormal behavior by the care recipient, changes in capabilities of the care recipient, and/or potential disease progression, for example, are pieces of data caregivers commonly observe in an informal, rarely structured way.

Abstract: Techniques herein relate to personalized assistance for subjects with impairment(s). In various embodiments, a subject's state may be determined (402) from various signal(s). Based on the subject's state, a first computing device may be selected (404) from one or more computing devices available to the subject. Based on the subject's state and a policy associated with the subject, task(s) may be determined (406) that are performable by the subject with the aid of the first computing device. Task-selection input from the subject may be received (408) via the first computing device to initiate a triggered task. Task-engagement input may be received (412) via the first computing device from the subject that indicate completion of step(s) of the triggered task. The policy may be updated (414), e.g., using reinforcement learning, based on attribute(s) of the task-engagement inputs.

Abstract: The present invention relates to a digital health proxy device, system, and method. or particularly, but not exclusively, the various apparatuses, methods, and systems disclosed herein relate to a health proxy device configured to parse medical data using data processing techniques and provide assistive technologies to a caregiver and/or patient for making an optimal medical decision in a time-sensitive environment.

Abstract: A method (100) for providing a (210) report about an individual (210) comprising the steps of: (i) providing (110) a report generation system (200) comprising a processor (252); (ii) receiving (120), by the processor, a command to generate a report comprising demographic information, medical/health information, and/or contextual information, where the contextual information comprises information, other than medical information, impacting the health or care of the individual; (iii) collecting (130), by the processor, medical information about the individual; (iv) collecting (140), by the processor, contextual information; (v) generating (150), by the processor, a report with the demographic information, medical/health information, and/or the contextual information; and (vi) communicating (160) the generated report to the individual or an intended recipient (280).

Abstract: The present system is configured to track informal observations by multiple caregivers about a care recipient and provide actionable feedback to the multiple caregivers for managing health of the care recipient based on the informal observations. Informal caregivers are constantly observing the health and/or wellness of care recipients they provide care for. Within families for example, multiple informal caregivers coordinate the care they provide for a care recipient amongst each other to balance the workload. These caregivers observe the same care recipient often on different occasions, from different perspectives, and with varying levels of subjectivity. Keeping an eye out for abnormal behavior by the care recipient, changes in capabilities of the care recipient, and/or potential disease progression, for example, are pieces of data caregivers commonly observe in an informal, rarely structured way.

Abstract: The present disclosure pertains to a system configured to predict a lucidity level of a subject.

Abstract: A system and method to provide a care-based activity recommendation engine are described. The system comprises electronic storage and physical computer processors. The electronic storage stores care recipient profile information for the care recipient including information related to care needs of the care recipient and caregiver profile information including schedule information, resource information, relationship information, or location information for individual caregivers. The processor(s) are in operative communication with the electronic storage and are configured to obtain activity tasks about the care recipient. The processor(s) determine likelihood metric values for the individual caregivers for given activity tasks indicating capacity and/or likelihood of a given caregiver to perform a given activity task.

Abstract: Systems and methods for providing prompts to improve communication between users and building supportive relationships are based on sharing activity information that characterizes one or more activities involving a patient and/or a caregiver among the patient and the caregiver. Moreover, the system determines and presents prompts for interactions between the patient and the caregiver based on the activity information.