Context API for EHR System Integration
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Solution Overview
Problem
Current electronic health record (EHR) systems face challenges such as high costs, usability issues, and inefficiencies, which hinder their adoption and utilization in healthcare settings, despite their potential to improve medical care quality and efficiency.
Innovation Solution
A computer-implemented method that streamlines the interface between applications and EHR systems using a context application programming interface (API) to provide real-time context information, allowing seamless data entry and integration with EHR systems, thereby enhancing usability and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If EHR systems are implemented to improve medical care quality and efficiency, then patient care quality is improved, but costs and implementation complexity increase
Solution Approach 1:
The patent introduces a context server as an intermediary component between the EHR system and external applications/devices. This mediator manages context information and provides standardized interfaces, reducing the complexity burden on implementing organizations while maintaining improved patient care quality through better data integration and accessibility
2Reliability
If comprehensive EHR systems are deployed to provide robust health record management, then data security and accessibility are improved, but usability and ease of operation deteriorate
Solution Approach 1:
The patent segments the EHR system into distinct functional components including a context server, context information database, and standardized API interfaces. This segmentation allows each component to handle specific tasks independently, improving overall usability while maintaining data security through distributed architecture and specialized security measures at each layer
3Productivity
If EHR systems are implemented to improve medical care coordination, then healthcare efficiency is improved, but productivity is lost during implementation
Solution Approach 1:
The patent establishes a context server and context information framework in advance that provides pre-configured interfaces and data structures. This preliminary setup enables faster integration of new applications and devices, reducing implementation time while maintaining the efficiency benefits of coordinated healthcare delivery
4Adaptability or versatility
If standardized EHR interfaces are used to improve data integration, then system adaptability is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal context server that handles multiple functions including context information management, device authentication, data integration, and application coordination through standardized interfaces. This multi-functional approach increases system adaptability to various devices and applications while reducing overall complexity by consolidating functions in a single universal component
Data Source
AI summary
Embodiments allow for the retrieval of information identifying the current context (patient being seen, medical record associated with the patient, or medical field selected) of a practice member. That information may be used as a key for subsequent API calls to match data submitted with records in an EHR system. In addition, a confidence level may be associated with that context. The confidence level may describe the level of confidence that context is correctly associated with that key.