Healthcare Data Projection Access Control via Combined Use Restrictions
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Solution Overview
Problem
Healthcare information systems face inefficiencies and reliability issues due to out-of-order data reception and the complexity of reconstructing proper sequences, as well as challenges in balancing data privacy levels when processing and distributing healthcare data across various recipients, often resulting in inflexible data use and storage practices.
Innovation Solution
A healthcare information system that assembles data projections from multiple elements with different use restrictions, determines combined data use restrictions, and associates metadata with time validity, allowing for efficient data distribution and access control while ensuring compliance with privacy levels and data freshness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex logic is used to reconstruct the proper sequence of data elements received out of order, then the reliability of the information provided by the healthcare information system is improved, but the efficiency with which the healthcare information system performs deteriorates
Solution Approach 1:
The patent applies preliminary action by assigning sequence numbers to data elements at the time of ingestion, before any processing or analysis occurs. This pre-establishes the correct temporal order of events, eliminating the need for complex post-reception sequencing logic. The sequence numbers are embedded metadata that travel with the data elements throughout the system, allowing for efficient retrieval and reconstruction of the proper sequence without intensive processing.
2Reliability
If a healthcare information system adopts a relatively inflexible approach to privacy and consent to ensure compliance with data privacy rules, then the compliance with data privacy levels is improved, but the flexibility in data use and storage deteriorates
Solution Approach 1:
The patent applies dynamics by implementing a flexible, dynamic approach to privacy management through layered consent models and role-based access controls. Instead of rigid privacy rules, the system dynamically adjusts data access permissions based on patient consent preferences, data sensitivity levels, and user roles. This allows the system to adapt to different privacy requirements while maintaining compliance, enabling varied data uses across different contexts and recipients.
Solution Approach 2:
The patent applies local quality by implementing differential privacy protections for different types of data elements and recipients. Rather than applying a uniform privacy approach to all data, the system tailors privacy measures to specific data sensitivity levels, patient consent preferences, and recipient needs. This allows more flexible data use for less sensitive information while maintaining strict protections for highly sensitive data, optimizing both compliance and utility.
3Adaptability or versatility
If sequentially captured data is received by the healthcare information system out of order, then the ability to handle distributed healthcare environment data is improved, but the complexity of reconstructing the proper sequence of data elements increases
Solution Approach 1:
The patent applies preliminary action by embedding sequence numbers in data element metadata at the point of data generation or ingestion, before the data enters the distributed system. This pre-tagging approach eliminates the need for complex sequencing logic when data arrives out of order from distributed sources. The sequence numbers serve as pre-computed sort keys that enable efficient reordering without intensive processing or complex reconstruction algorithms.
Data Source
AI summary
A healthcare information system, method and computer program product are provided to receive, process and output healthcare data in compliance with data use restrictions associated with the healthcare data, even in instances in which data projections are assembled from the data elements. In regards to a healthcare information system, processing circuitry is configured to assemble the data projection from a plurality of data elements. At least some data elements have different data use restrictions associated therewith. The processing circuitry is also configured to determine a combined data use restriction for the data projection based upon the data use restrictions of the data elements from which the data projection is assembled. The processing circuitry is further configured to associate metadata with the data projection including the combined data use restriction. Further, the processing circuitry is configured to control access to the data projection in accordance with the combined data use restriction.


