Digital Health Platform for Dynamic Consumer Health Records
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Solution Overview
Problem
Modern healthcare data management systems face challenges in aggregating and utilizing patient health information from disparate sources, leading to data fragmentation and limiting proactive, predictive health management due to the static nature of these systems, which do not seamlessly incorporate data from wearable devices and user-reported metrics into primary health records, hindering advanced analytics and secure, user-controlled data exchange.
Innovation Solution
A digital health platform that integrates data from diverse sources to create a dynamic Consumer Health Record (CHR), facilitating AI-driven personalized care and secure, user-governed data exchange, with advanced analytical capabilities and blockchain-based audit trails for transparency and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If healthcare data is stored in institutionally controlled siloed repositories, then data security and control are maintained, but data fragmentation occurs and holistic health views are prevented
Solution Approach 1:
The patent introduces a digital health platform as an intermediary layer between institutionally controlled health data repositories and users. This platform aggregates data from multiple siloed sources (EMRs, EHRs, wearables, mobile apps) without requiring institutions to relinquish control of their data systems. The intermediary enables holistic health views by consolidating information while maintaining the original data ownership and control structures.
2Stability of the object's composition
If conventional static health record systems are used, then system stability is maintained, but proactive and predictive health management is limited due to inability to continuously incorporate new data
Solution Approach 1:
The patent transforms static health record systems into dynamic systems that continuously update and adapt. The digital health platform implements continuous data aggregation from multiple sources including wearables and mobile applications, enabling real-time health monitoring and predictive analytics. This dynamic architecture allows the system to adapt to new data inputs while maintaining stability through standardized integration protocols.
3Loss of information
If data from multiple heterogeneous sources is aggregated, then a holistic health view is achieved, but system complexity increases
Solution Approach 1:
The patent implements a universal data aggregation platform capable of interfacing with multiple heterogeneous data sources including EMRs, EHRs, wearables, and mobile applications through standardized protocols. This multi-functional architecture consolidates diverse data types into a unified view while managing complexity through common integration interfaces and standardized data processing pipelines.
4Ease of operation
If user-controlled data sharing is implemented, then user empowerment and privacy are enhanced, but data exchange efficiency may be reduced due to consent management overhead
Solution Approach 1:
The patent implements preliminary consent management where users establish data sharing preferences and permissions in advance through the digital health platform. These pre-configured consent settings enable automated data exchange decisions without requiring real-time user intervention for each data request. This preliminary action approach maintains user control and privacy while significantly improving data exchange efficiency by eliminating repetitive consent requests.
Data Source
AI summary
A digital health platform may be configured to manage health data. The platform may receive, from a mobile application associated with a user, first health data including at least one of a prescription indicator or a user-reported health metric. Second health data including at least one physiological measurement may be received from at least one wearable device associated with the user. Third health data associated with the user may be received from at least one external health record data source. The first health data, the second health data, and the third health data may be aggregated into a Consumer Health Record (CHR). A bi-directional exchange of at least a portion of the CHR with an external healthcare system may be facilitated via a secure data exchange system based on governance rules set by the user.