Abstract: A healthcare assessment system is provided for a plurality of healthcare facilities each having healthcare providers and residential areas, each area equipped with biometric sensors and activity sensors. A central server receives sensor data and stores subject information in a data storage network. The system determines potential events for each subject based on respective healthcare profiles, and an event inference engine identifies the actual occurrence and extrapolates a likely occurrence of potential events based on the stored data points with respect to time. The system assigns values representative of a level of healthcare resource needs for each subject, and values representative of a quality of healthcare resources provided for each healthcare provider. A graphical user interface includes a resource allocation report with user-selectable lists of relative rankings of the assigned values for each subject and each provider in a healthcare facility, or for each respective healthcare facility.

Abstract: An automated healthcare intervention system includes biometric and activity sensors in a residential area. A server stores base data for an associated healthcare subject in a data storage network, and leverages the base data to infer temporal relationships with respect to potential conditions for the subject. The server determines that an event requiring intervention has occurred by comparing combinations of base data and inferred temporal relationships with associated time ranges and threshold values, and delivers an intervention prompt to an associated healthcare provider. Post-event monitoring allows for predictive analysis with respect to future occurrences of a similar event, and further enables determination of a severity of the event, for example a fall. Defined sleeping areas or food storage areas may be monitored over time and with respect to defined patterns and healthcare conditions of the subject to identify sleeping or eating disorders.