Reflexive Education Content Flow Engine for Personalized Health Management
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Solution Overview
Problem
Current methods for providing health care information to patients are inefficient and costly, as they often provide generic information that does not account for individual patient needs, relying heavily on medical personnel and requiring urgent care assistance rather than preventive measures.
Innovation Solution
A health management system with an educational server that automatically selects and presents personalized educational content sessions based on patient feedback and physiological condition inputs, using a content flow engine and user interface to deliver targeted health management goals via a centralized or decentralized network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If health care information is provided generically to patients according to medical condition, then information delivery is simplified, but individual patient needs are not met
Solution Approach 1:
The system enables automatic self-service by using a content flow engine that autonomously selects and delivers personalized educational content based on patient physiological data and feedback, eliminating the need for manual healthcare provider intervention in content selection while maintaining high individualization
Solution Approach 2:
The system implements continuous feedback loops where patient responses to educational content and physiological parameter changes are automatically captured and used to dynamically adjust subsequent content delivery, enabling real-time personalization without manual intervention
2Adaptability or versatility
If health care professionals manually select and send educational material to patients, then personalized care information is provided, but staffing costs and workload increase
Solution Approach 1:
The system replaces the mechanical manual process of healthcare providers selecting and sending educational materials with an automated content flow engine that uses algorithms to automatically match patients with appropriate educational content based on their physiological data and learning responses
Solution Approach 2:
The content flow engine acts as an intermediary between patient physiological data and educational content libraries, automatically processing data, selecting appropriate content, and delivering personalized educational materials without requiring direct healthcare provider involvement in the content selection process
3Adaptability or versatility
If patients contact physicians for information, then individualized care information is received, but urgent care resources are consumed and preventive care is delayed
Solution Approach 1:
The system performs preliminary actions by proactively delivering educational content to patients based on their physiological parameters before urgent care situations arise, enabling preventive care and reducing the need for urgent physician contact
Solution Approach 2:
The system enables patients to receive individualized care information automatically through the content flow engine without needing to actively contact healthcare providers, allowing patients to obtain timely personalized information on their own initiative
Data Source
AI summary
A health management system (10) comprises educational content sessions (150, 152, . . . ) each being directed toward achieving a health management goal. A user interface (48) is configured for presenting the content sessions (150, 152, . . . ). At least one feedback path (48, 82, 120, 122) provides at least one input which includes an item of interest. A content flow engine (170) configured to automatically select the content sessions (150, 152) based on the at least item of interest and on content flow rules and initiate presentation of the selected content sessions via the user interface (48).