Unified Healthcare Data Interface for Disparate System Integration
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Solution Overview
Problem
Healthcare environments face challenges in integrating and interoperating disparate clinical systems, leading to inconsistencies in data formatting and structure, which hinders seamless data exchange and clinical decision support.
Innovation Solution
A centralized message processing system that uses a universal schema to aggregate and normalize data from various clinical systems, enabling standardized storage and display through a customizable dashboard, and allowing for dynamic configuration of data structures and business logic to accommodate different message formats and customer preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple separate interfaces are maintained for different clinical systems, then each interface can be optimized for its specific system, but the complexity of maintaining multiple interfaces increases significantly
Solution Approach 1:
The patent merges multiple separate clinical interfaces into a single unified interface that can handle messages from various clinical systems (laboratory, radiology, cardiology, etc.). This unified interface uses a single schema definition to process all incoming messages, eliminating the need to maintain multiple separate interfaces while preserving system interoperability through standardized message routing and processing.
Solution Approach 2:
The patent creates a universal schema definition that serves multiple functions: it defines message structures for different clinical systems, routes messages to appropriate processing logic, and enables standardized data extraction. This universal schema acts as a multi-functional component that handles diverse clinical messages through a single interface, reducing maintenance complexity while maintaining reliability.
2Adaptability or versatility
If data from disparate systems is integrated without standardization, then data accessibility is improved, but inconsistencies in data formatting and structure hinder seamless data exchange
Solution Approach 1:
The patent introduces a message processing system as an intermediary between disparate clinical systems and the target application. This intermediary receives messages in various formats, processes them through standardized logic defined by the schema, and outputs consistent structured data. The intermediary maintains data structure consistency while enabling broad data accessibility from multiple sources.
Solution Approach 2:
The patent transforms incoming data by changing its parameters - converting various message formats into a standardized structure defined by the schema. The system extracts relevant parameters from diverse sources, normalizes them according to the schema definition, and presents them in a consistent format, thereby maintaining stability while improving adaptability.
3Stability of the object's composition
If a rigid schema is used for data processing, then data structure consistency is maintained, but the ability to accommodate different message formats and customer preferences is reduced
Solution Approach 1:
The patent implements a dynamic schema definition that can be configured to accommodate different message formats while maintaining consistent output structures. The schema allows for flexible configuration of message routing logic and data extraction rules, enabling the system to adapt to various formats from different clinical systems while still producing standardized, consistent data structures for downstream processing.
Data Source
AI summary
Methods and systems for receiving, mapping and structuring data from disparate systems in a healthcare environment are described. An example computer-implemented method of receiving data input associated with different versions of healthcare message structures includes receiving first data in a first format through a single service interface. One or more fields of the first data is not supported by at least one of the different versions of the healthcare message structures. The example method also includes receiving second data in a second format through the single service interface. One or more fields of the second data is not supported by at least one of the different versions of the healthcare message structures. The single service interface enables the receipt of the first data and the second data to minimize a number of interface end points.