Wearable Patient Data Sharing with Context-Aware Alert Control
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Solution Overview
Problem
Existing patient management systems face challenges in accurately collecting and sharing health-related data, leading to inadequate diagnosis and treatment, and often overlook the sharing of health data between different clinicians, which can adversely affect patient outcomes.
Innovation Solution
A patient management system that utilizes a wearable device to sense conditions, store data, and communicate with other devices within a range, allowing for selective data sharing and alert control based on context determination using combined data from multiple sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a person describes health activities to a doctor, then the doctor can diagnose and treat the person, but the person may not fully and/or accurately describe such activities
Solution Approach 1:
The patent replaces manual self-reporting of health activities with automated sensor-based detection systems. Wearable devices with sensors (accelerometers, gyroscopes, heart rate monitors) automatically detect and record health-related activities, eliminating the need for patients to accurately recall and describe their activities to doctors. This substitution of mechanical sensing for human memory and communication directly addresses the accuracy and completeness problems in health data collection.
2Reliability
If health data is shared between different clinicians, then patient outcomes may improve, but data sharing is often overlooked in existing systems
Solution Approach 1:
The patent implements a universal health data platform that enables multiple clinicians to access the same patient health data through a centralized system. The wearable device and patient management system are designed to interface with various healthcare providers' systems, allowing seamless data sharing across different clinicians and facilities. This multi-functional design ensures that all involved clinicians have access to comprehensive patient information, improving coordination and outcomes.
3Measurement precision
If a wearable device continuously monitors patient conditions, then diagnostic accuracy improves, but false alerts and unnecessary notifications increase
Solution Approach 1:
The patent employs feedback mechanisms where the system continuously monitors patient data, compares it against established baselines and thresholds, and adjusts alert generation accordingly. The patient management system learns from historical data patterns to distinguish between significant health events requiring attention and normal variations that would trigger false alerts. This feedback loop enables the system to maintain high diagnostic accuracy while minimizing unnecessary notifications to clinicians and patients.
Data Source
AI summary
This disclosure is directed towards a patient management system for selectively storing and/or sharing patient data. A wearable device may sense a condition associated with the wearer of the wearable device, and store values based on the condition for a period of time. The wearable device may determine that the wearable device is within range of another device, such that the wearable device can communicate with the other device, and output the values to the other device. Additionally, a computing device of the patient management system may receive, from a wearable device, first data associated with a condition of a wearer of the wearable device. The computing device may also receive second data associated with the condition from a sensing device. The computing device may determine a context of the wearer based on comparing the first and second data, and control output of an alert based on the context.