Health Utility Network Architecture for Secure Data Exchange
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Solution Overview
Problem
The healthcare industry faces significant challenges due to technological fragmentation, leading to inefficient data exchange and administrative burdens, with over 70% of medical information still being exchanged via fax, and existing standardization efforts like FHIR not adequately addressing data silos and administrative costs, hindering coordinated care and personalized health outcomes.
Innovation Solution
A peer-to-peer secure and scalable network architecture utilizing a health utility platform with distributed ledger services, collaboration services, and standardized data models to facilitate secure, efficient data exchange between healthcare providers and payers, enabling immutable audit trails and secure data access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional point-to-point request/response data exchange is used, then data can be shared between organizations, but administrative burden increases and data fluidity is restricted
Solution Approach 1:
The patent introduces a data intermediary service that mediates between data subjects and data requesters. This intermediary automatically manages data sharing requests, consent verification, and data transmission, replacing manual administrative processes. The intermediary service handles the complexity of data exchange protocols, allowing organizations to share data more fluidly without increasing their administrative burden.
Solution Approach 2:
The system implements self-service mechanisms where data subjects can manage their own data sharing preferences and consent settings through user-friendly interfaces. The automated data exchange system then executes sharing based on these pre-configured preferences, eliminating the need for manual administrative intervention in each data exchange instance and significantly reducing administrative burden.
2Productivity
If manual data exchange processes are used, then data can be transmitted between systems, but errors increase and efficiency decreases
Solution Approach 1:
The patent replaces manual mechanical data entry and transmission processes with automated electronic data exchange systems. The system automatically extracts, validates, transforms, and transmits data between organizations using standardized protocols, eliminating manual typing and copying operations. This substitution dramatically improves both efficiency and accuracy by removing human error from the data exchange process.
Solution Approach 2:
The system implements automated feedback mechanisms including data validation checks, error detection and correction protocols, and confirmation processes. When data is exchanged, the system automatically verifies its integrity, checks for completeness, and provides feedback to both sending and receiving systems. This automated feedback loop ensures high data accuracy while maintaining rapid exchange speeds.
3Quantity of substance
If data aggregation type systems are used, then data can be collected from multiple organizations, but patient identity association is lost
Solution Approach 1:
The patent implements a nested data structure where patient identity information is embedded within aggregated data sets. The system creates layered data containers that maintain the association between patient identifiers and their corresponding health data even when data is aggregated from multiple sources. This nested structure allows the system to preserve identity associations while still benefiting from the analytical power of aggregated data.
Solution Approach 2:
The system creates and maintains copies of patient identity reference data that travel with aggregated data sets. Instead of losing identity associations during aggregation, the system generates copies of relevant identifier information that are embedded in the aggregated data structure, ensuring that patient identity can be traced back to the original data sources while maintaining data privacy and security.
Data Source
AI summary
The various implementations described herein include methods and systems for configuring, managing, and/or using a health utility network. A system includes a health utility platform configured to execute collaboration services and distributed ledger services. The system also includes a health network including a private network interconnect configured to provide access, routing and service discovery. The health network is communicatively coupled to the health utility platform. The system also includes landing zones communicatively coupled to the health utility platform via the health network. Each landing zone is configured to run applications for a participant. The applications are configured to consume data and/or provide services on the health network. The collaboration services and the distributed ledger services are configured to provide context or facilitate data exchanges between different landing zones.