Personalized Care Plan Generation via Conflict Resolution
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Solution Overview
Problem
Current care plans are rigid and not tailored to individual patients, often leading to poor compliance due to overlapping and conflicting tasks, and lack effective monitoring and adherence tracking.
Innovation Solution
A care platform that allows physicians to customize care plans by selecting and configuring care protocol templates for multiple conditions, resolving conflicts using conflict resolution rules and integrating with sensor devices for real-time monitoring and adherence tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a standardized care plan is used for a medical condition, then the care plan can be quickly implemented, but it cannot be tailored to individual patient needs
Solution Approach 1:
The care plan is segmented into multiple independent templates, each addressing a specific medical condition. These templates can be selectively combined and customized for individual patients, allowing both quick implementation through pre-defined structures and adaptation to specific patient needs through selective assembly and modification of template elements.
2Adaptability or versatility
If multiple care protocol templates are combined for multiple conditions, then comprehensive care coverage is achieved, but conflicting tasks and overlaps occur
Solution Approach 1:
Multiple care protocol templates are merged into a single integrated care plan through systematic combination processes. The system automatically detects and resolves conflicts between templates by applying conflict resolution rules, consolidating overlapping tasks, and ensuring coherent instructions are provided to patients, thereby achieving comprehensive multi-condition care without task conflicts.
3Reliability
If call centers are used to monitor patient adherence, then adherence tracking is achieved, but costs increase and patient privacy is compromised
Solution Approach 1:
The system enables self-service adherence monitoring where patients automatically report their own progress through the platform. This eliminates the need for external call center intervention, reducing costs and privacy risks while maintaining reliable adherence tracking through direct patient-input data and automated progress assessment.
Data Source
AI summary
Embodiments presented herein describe techniques for generating a care plan tailored for an individual. According to one embodiment of the present disclosure, a care platform receives a selection of one or more care protocol templates to assign to a patient. Each care protocol template is associated with a medical condition to be treated. The care platform generates tasks to be performed by the patient, observation metrics specifying types of patient biometrics to monitor, and thresholds associated with each selection. The care platform receives one or more customizations to the tasks, observation metrics, and thresholds and determines whether any of the tasks or the customizations to the tasks conflict with one another. Upon identifying one or more conflicts, the conflicts are resolved based on specified rules associated with each conflicting task. The care plan is generated based on the observation metrics, thresholds, customizations, and resolved tasks.