Dynamic Care Plan System for Adaptive Patient Monitoring
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Solution Overview
Problem
Current care plans are rigid and 'one size fits all,' failing to account for individual patient responses, leading to ineffectiveness or adverse reactions, and lack real-time adherence monitoring, relying on costly call centers for follow-up.
Innovation Solution
A dynamic care plan system that receives biometric data and reported symptoms, using event rules to modify tasks and thresholds, allowing for adaptive management and real-time adjustments based on patient metrics and symptoms, transmitted through mobile devices for personalized treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a standardized care plan is used for all patients with the same condition, then the implementation is simple and consistent, but the care plan effectiveness varies across individuals due to lack of personalization
Solution Approach 1:
The care plan transitions from a static, fixed document to a dynamic system that automatically adapts based on patient responses. The system continuously monitors patient data and modifies care plan elements in real-time, making the care plan flexible and responsive to individual patient needs while maintaining systematic management
Solution Approach 2:
The system changes parameters of the care plan based on patient responses and outcomes. By monitoring patient data and automatically adjusting care plan parameters such as task recommendations, content delivery, and follow-up schedules, the system personalizes the care plan for each patient while maintaining overall structural integrity
2Loss of information
If follow-up appointments and call center contacts are used to monitor patient adherence, then patient progress can be assessed, but the cost increases and patient exposure to additional individuals increases
Solution Approach 1:
The system enables self-service monitoring where patients automatically provide data through mobile devices and wearable sensors. The care plan system automatically tracks adherence, monitors outcomes, and generates reports without requiring manual intervention from call centers or scheduled follow-up appointments, reducing both cost and patient exposure
Solution Approach 2:
The system implements continuous automated feedback loops where patient data is automatically collected, analyzed, and used to adjust the care plan in real-time. This automated feedback mechanism replaces manual follow-up processes, providing ongoing monitoring without the need for costly call centers or in-person appointments
Data Source
AI summary
Embodiments presented herein provide a dynamically adaptive care plan. More specifically, embodiments presented herein describe techniques for modifying a care plan assigned to a patient based on data observed from the patient. According to one embodiment of the present disclosure, data corresponding to one or more types of biometric data for the patient is received. One or more reported symptoms for the patient is received. The care plan includes one or more conditions corresponding to the one or more reported symptoms. Upon determining that at least one of the received data satisfy at least one of the biometric thresholds and the one or more reported symptoms satisfy at least one of the conditions, an event rule for modifying the care plan is identified. The care plan is modified based on the event rule.