Ontology-Based Health Data Integration Interface
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Solution Overview
Problem
Vulnerable populations, such as foster children and homeless individuals, often experience information loss during transitions between locations, leading to fragmented healthcare records and difficulties in sharing relevant medical and social information among healthcare providers and caregivers.
Innovation Solution
An integrated health interface system that aggregates, analyzes, and displays health data from various databases using ontologies to map and correlate data from different sources, providing a unified view for authorized entities while allowing secure input and communication of information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If healthcare records are transferred between providers during patient transitions, then information continuity is improved, but information loss still occurs due to separate databases not being integrated
Solution Approach 1:
The patent introduces an intermediary mapping layer that sits between separate healthcare databases and the user interface. This mapping layer translates and correlates data from multiple independent databases (claims history, prescription information, lab results) without requiring physical integration of the underlying databases, thus reducing information loss while maintaining database independence and lowering integration complexity
Solution Approach 2:
The system segments the healthcare information architecture into independent database components (claims database, prescription database, lab results database) that remain separate but are logically connected through the mapping layer. This segmentation allows each database to maintain its own structure and integrity while still enabling comprehensive information retrieval through the unified interface
2Adaptability or versatility
If multiple separate databases are used to store different types of health information, then data organization is improved, but information sharing among healthcare providers deteriorates
Solution Approach 1:
The mapping layer serves multiple functions simultaneously: it acts as a translation layer between different database schemas, a correlation engine that links related data across databases, and a unified access point for healthcare providers. This multi-functionality enables both specialized data organization in separate databases and comprehensive information sharing through a single interface
3Loss of information
If all health information is made accessible to all users, then information completeness is improved, but security and role-based access control deteriorates
Solution Approach 1:
The system applies different access control characteristics to different users based on their roles. The mapping layer retrieves and presents information with quality and completeness tailored to each user's needs and permissions - for example, a primary care physician sees different information than a specialist or administrator, ensuring each user receives appropriately scoped data without requiring complex centralized access control logic
Data Source
AI summary
Various systems and methods are provided that aggregate, analyze, and display health data for users. The system aggregates data stored in various databases. For example, the system retrieves data from these databases, maps the data to a set of common terms based on an ontology, and displays such information to an entity accessing the system. Rather than converting the data stored in the databases into a standardized format, the system includes a set of ontologies that provide a correlation between a first set of fields and a second set of fields. The system determines a correlation between a first field in the first set of fields and a second field in the second set of fields using the ontology, stores data retrieved from the database in a second database in association with the second field, and displays the data associated with the first field under the second field.