Cloud Medical Imaging Exchange With HL7, FHIR, and DICOM
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Solution Overview
Problem
Existing systems fail to efficiently integrate patient data from disparate clinical records and imaging studies in real-time and on-demand at user workstations or mobile devices.
Innovation Solution
A system utilizing HL7, FHIR, and DICOM standards for secure connectivity to aggregate and index patient data from multiple databases, including EMR and PACS systems, providing real-time access and interaction through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If patient data from multiple disparate databases is integrated in real-time, then data completeness and accessibility are improved, but system complexity and integration difficulty increase
Solution Approach 1:
The patent implements an intermediary integration layer that acts as a mediator between disparate medical databases (PACS, EMR, LIS, RIS) and the user interface. This intermediary component handles data aggregation, normalization, and coordination, allowing real-time access to complete patient information without requiring direct complex connections between all database systems. The intermediary abstracts the complexity of multiple data sources behind a unified access mechanism.
2Productivity
If real-time data aggregation from multiple sources is implemented, then patient care efficiency is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-aggregating and caching patient data from multiple sources before it is actually needed. When a clinician accesses patient information, the system retrieves pre-processed data rather than querying all databases in real-time. This preliminary data preparation significantly reduces access time while maintaining data completeness, as the integration work is done in advance rather than at the moment of need.
3Reliability
If comprehensive patient data from multiple databases is made accessible, then clinical decision-making quality is improved, but data security and access control complexity increase
Solution Approach 1:
The patent implements a universal access control mechanism that handles multiple database types (PACS, EMR, LIS, RIS) through a single unified security framework. This universal access control system applies consistent authentication, authorization, and audit rules across all data sources, eliminating the need for separate access control implementations for each database. The multi-functional security system maintains comprehensive data protection while simplifying the overall access control architecture.
Data Source
AI summary
The system brings together patient data both clinical records and imaging studies from disparate sources to the user workstation or mobile device in real-time and on-demand. In order to do so, the system needs to establish application layer connectivity utilizing HL7 or FHIR and DICOM for imaging. Once a secure connection is established, the system is able to search and retrieve records and present it to end user.