Health Service System Correlating Knowledge Profiles with Outcomes
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Solution Overview
Problem
Current online services that provide interactive gaming and social environments do not effectively assess or improve users' physiological or mental health, and existing health assessment methods, such as the Patient Activation Measure (PAM), rely on static knowledge-based questionnaires that do not account for individual knowledge levels or health outcomes.
Innovation Solution
A system and method that predicts a user's health outcome based on their knowledge level by correlating user responses to health-related questions with health outcomes from a control population, using a knowledge profile to determine health parameters and provide personalized health services or recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static knowledge-based questionnaires (PAM) are used to assess health, then health assessment can be performed, but individual knowledge levels and health outcomes are not accounted for
Solution Approach 1:
The system transitions from static questionnaires to dynamic adaptive questioning that adjusts based on user responses. The question selection and difficulty level adapt in real-time to the user's demonstrated knowledge, allowing the assessment to evolve and personalize throughout the interaction.
Solution Approach 2:
The system changes parameters such as question difficulty, topic selection, and questioning strategy based on the user's performance and profile. By dynamically adjusting these parameters, the system tailors the assessment to each individual's knowledge level and health context.
2Ease of operation
If interactive gaming and social environments are provided, then user engagement is improved, but health assessment and improvement functionality is not achieved
Solution Approach 1:
The system merges interactive gaming and social environment elements with health assessment functionality. By combining engaging user interface features with rigorous health evaluation, the system achieves both high user engagement and reliable health assessment simultaneously.
Solution Approach 2:
The platform serves multiple functions: it provides entertainment through gaming and social interaction while simultaneously performing health assessment, education, and personalized recommendation. This multi-functionality allows it to achieve both engagement and health effectiveness.
3Ease of operation
If health outcomes are predicted without medical information, then accessibility is improved, but measurement precision may be compromised
Solution Approach 1:
The system enables users to self-assess their health outcomes by answering questions about their own knowledge and behaviors. Users provide the data themselves without requiring medical professionals or medical information, making the service accessible while maintaining precision through carefully designed questioning and statistical modeling.
Solution Approach 2:
The system uses knowledge-based questions and behavioral data as intermediaries to infer health outcomes. Rather than directly measuring medical parameters, it uses these proxy measures to predict health status, achieving both accessibility and reasonable accuracy.
Data Source
AI summary
A computing system includes a database having a collection of health-related assertions for a health quiz to be taken by users. Each health assertion is tuned with a correlative health value based on answers to the health assertion provided by a control group of users. For each user in the control group, at least one health outcome is known, and therefore the computing system can use a big data approach to determine the correlative value for each health assertion to the actual health outcomes of the control group users. Using the correlative values for each health assertion, the computing system can generate a health profile of each user who takes the health quiz. In certain examples, the health quiz correlation can be combined with activity monitoring data to develop a highly accurate health profile for each user.