Dynamic Care Plan Adjustment Using Biometric Thresholds
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Solution Overview
Problem
Current care plans are inflexible and not tailored to individual patients, often leading to poor compliance due to generic instructions and potential conflicts between treatments for multiple conditions, with limited ability for healthcare providers to customize or monitor adherence effectively.
Innovation Solution
A care platform that allows healthcare providers to design customized care plans with specific tasks, metrics, and thresholds for each patient, using monitoring devices to collect biometric data and adjust the plan dynamically based on patient progress, while reconciling potential conflicts and providing educational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a standardized care plan is used for all patients with the same condition, then the implementation complexity is reduced and ease of operation is improved, but the adaptability to individual patient needs deteriorates
Solution Approach 1:
The care plan is segmented into multiple phases (e.g., acute phase, recovery phase, maintenance phase), allowing the system to provide standardized guidance within each phase while adapting to individual patient progress by transitioning between phases based on personalized criteria and biometric data
Solution Approach 2:
The care plan is made dynamic through automatic adjustment based on biometric data from monitoring devices. The system continuously evaluates patient status against threshold conditions and automatically modifies task requirements, timing, and treatment parameters without requiring manual provider intervention for each change
2Measurement precision
If manual monitoring of patient adherence is used through patient testimony or call centers, then the measurement of adherence is possible, but the loss of time and productivity deteriorates due to frequent follow-ups and manual processes
Solution Approach 1:
The system implements self-service monitoring where patients automatically complete tasks and the system automatically tracks adherence through integrated monitoring devices. Biometric data is continuously collected and evaluated without requiring patient recall or provider intervention, eliminating manual monitoring while maintaining precise adherence measurement
Solution Approach 2:
The system provides continuous automated feedback to both patients and providers. Patients receive real-time notifications about task completion status and adherence metrics, while providers receive automated reports without needing to manually contact patients, reducing time loss while maintaining measurement precision
3Measurement precision
If frequent follow-up appointments are scheduled to assess patient progress, then the measurement precision of adherence is improved, but the loss of time and productivity worsens
Solution Approach 1:
The system replaces discrete follow-up appointments with continuous monitoring of biometric data between visits. Monitoring devices continuously collect data that is automatically evaluated against threshold conditions, providing ongoing progress assessment without requiring continuous provider involvement, thus maintaining measurement precision while preserving provider productivity
Data Source
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AI summary
Embodiments presented herein describe techniques for administering a care plan that describes an overall treatment regimen for a patient. Embodiment include receiving, by a care plan management application (111), cardiac event data from a mobile device (135), the cardiac event data comprising an initial classification of a cardiac event and relevant electrocardiogram (ECG) data; analyzing, by the care plan management application (111), the cardiac event data; and reclassifying the cardiac event from the initial classification to a second classification.