Patient Community System for Peer Matching and Recovery Tracking
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Solution Overview
Problem
Current online platforms lack effective mechanisms for patients to connect with peers who have undergone similar medical procedures, share recovery information, and find qualified medical service providers, hindering personalized recovery tracking and informed decision-making.
Innovation Solution
An online patient community system that allows users to search for and connect with peers based on similar medical procedures, track recovery progress, and find qualified medical service providers by accessing and sharing patient profiles, recovery logs, and medical data, while ensuring compliance with HIPAA regulations and providing anonymized data for enhanced privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an online patient community system is implemented to connect patients with similar procedures, then peer support and recovery information sharing are improved, but system complexity and data management requirements increase
Solution Approach 1:
The system segments patients into distinct communities based on their medical procedures and conditions. Each community is a self-contained unit with its own discussion threads, recovery logs, and peer interactions. This segmentation allows the overall complex system to be managed through multiple smaller, specialized communities rather than one monolithic platform.
Solution Approach 2:
The patent introduces intermediary components including modulators that manage data flow between patients and service providers, and anonymization systems that mediate information sharing while protecting privacy. These intermediaries handle the complexity of data management, authentication, and HIPAA compliance, shielding end users from the underlying system complexity.
2Loss of information
If patient data is collected and shared across the community, then recovery tracking and personalized recommendations are improved, but patient privacy and data security risks increase
Solution Approach 1:
The system extracts personally identifiable information (PII) from patient data and separates it from medical and recovery information. An anonymization component removes or masks identifying details, allowing the medical data to be shared and analyzed while the extracted PII is stored separately with restricted access, thus enabling information sharing while mitigating privacy risks.
Solution Approach 2:
Modulators serve as intermediaries between patients and service providers, controlling and filtering data flow. These modulators ensure that only appropriate, anonymized information is shared while maintaining patient privacy and complying with HIPAA regulations, thus enabling useful data exchange while protecting against privacy violations.
3Productivity
If the system provides detailed recovery logs and peer comparisons, then patient motivation and recovery speed are improved, but information overload and decision complexity increase
Solution Approach 1:
The system applies local quality by providing customized information displays tailored to each patient's specific procedure, condition, and recovery stage. Rather than showing all available data uniformly, the system adapts the presentation of recovery logs and peer comparisons to match individual patient needs, making information more manageable and relevant while maintaining motivational benefits.
Solution Approach 2:
The system implements selective filtering that shows only the most relevant peer comparisons and recovery data for each patient, rather than presenting all available information. This partial action approach prevents information overload by displaying a curated subset of data that is most likely to be useful for that specific patient's recovery journey.
4Measurement precision
If the system connects patients with qualified service providers, then care quality and informed decision-making are improved, but matching accuracy and provider verification complexity increase
Solution Approach 1:
Service providers undergo preliminary verification and credentialing before being admitted to the network. The system pre-validates provider qualifications, licenses, and expertise areas, storing this verified information in advance. This preliminary action ensures matching accuracy when patients are connected to providers, while the verification complexity is handled upfront rather than during each patient-provider interaction.
Data Source
AI summary
A computer-implemented method includes receiving a request to search for other users who are associated with at least a threshold level of similarity to the requesting user; accessing information indicative of a patient profile of the requesting user; determining one or more attributes of the requesting user; searching a data repository for information indicative of a user associated with one or more attributes corresponding to at least one of the one or more attributes of the requesting user; identifying, based on searching, a user associated with one or more attributes corresponding to at least one of the one or more attributes of the requesting user; determining that the one or more corresponding attributes of the identified user satisfy the threshold level of similarity; and transmitting information indicative of the identified user, with the transmitted information specifying the identified user as being a peer of the requesting user.