Device-on-Premise Detection for Health Service Management
Solution Overview
Problem
Healthcare systems fail to effectively utilize mobile devices to improve individual health outcomes, particularly in managing chronic diseases related to aging and lifestyle, despite their ubiquity.
Innovation Solution
A system and method that facilitate a user interface via device-on-premise detection and event generation, where beneficiary user devices detect overlapping locations with service facility premises, allowing for the identification and prioritization of beneficiaries for consultants, enabling timely and personalized health service management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mobile devices are utilized in health systems, then health service management capability is improved, but system complexity increases
Solution Approach 1:
The system segments the health management functionality by separating device-level operations (location detection, event generation) from server-level operations (data processing, user interface generation). This allows mobile devices to contribute health data without requiring complex local processing, improving overall system capability while managing device complexity through functional decomposition.
Solution Approach 2:
The server acts as an intermediary between beneficiary devices and consultants, consolidating data processing and interface generation. This mediator approach allows simple device implementations while achieving sophisticated health management capabilities through centralized processing.
2Loss of time
If device-on-premise detection is implemented, then timeliness of health intervention is improved, but measurement and detection difficulty increases
Solution Approach 1:
Beneficiary devices autonomously perform location detection and generate health events when predefined conditions are met (e.g., entering a facility). This self-service approach enables timely detection without requiring complex centralized monitoring, as each device independently monitors its own state and reports events.
Solution Approach 2:
The system pre-configures detection parameters and event generation rules on devices before deployment. This preliminary setup simplifies ongoing detection operations, allowing devices to automatically recognize and report health-relevant events without complex real-time decision-making.
Data Source
AI summary
The present disclosure pertains to a system configured to facilitate a user interface via device-on-premise detection and event generation based thereon. The system comprises a computer system configured to: obtain, from beneficiary user devices, event information indicating events corresponding to device-on-premise detections of the beneficiary user devices, each of the device-on-premise detections comprising a detection of a location of a beneficiary user device overlapping with a location of at least one service facility premise of a predefined set of premises; determine a consultant that is to be at a service facility premise; determine, based on the event information, a set of beneficiaries at the service facility premise; obtain service information indicating health services previously provided to or requested by the set of beneficiaries; and generate, based on the set of beneficiaries and the service information, at least a portion of a user interface indicating beneficiaries to be identified to the consultant.