Code Generator for Multi-System EHR Data Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current applications for accessing Electronic Health Records (EHRs) face limitations in interoperability due to different data formats and APIs used by various health care provider facilities, making it difficult to extract and process data from disparate EHR systems, which hinders continuity of care across multiple facilities.
Innovation Solution
A system that allows users to build custom applications with little to no coding, using an application builder that generates code for accessing and processing EHR data from multiple systems by leveraging standards like FHIR, enabling extraction and presentation of user-selected data across different EHR systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If applications are designed to access specific EHR systems with fixed data formats and APIs, then access to that specific system is reliable and efficient, but the application cannot access data from other EHR systems with different formats and APIs
Solution Approach 1:
The patent introduces an intermediary layer (code generator system) that translates between different EHR system formats and a standardized internal representation. This mediator handles the complexity of multiple APIs and data formats, allowing applications to access diverse EHR systems without increasing their own complexity.
Solution Approach 2:
The code generator creates universal access mechanisms that can work across multiple EHR systems. By generating adaptive code that implements standardized interfaces, a single application architecture can universally access different EHR systems through their respective APIs, eliminating the need for system-specific custom applications.
2Adaptability or versatility
If applications are customized for each EHR system to handle specific data formats, then data extraction is precise and reliable, but multiple applications are needed to access different EHR systems
Solution Approach 1:
The patent segments the complexity of EHR system access into separate, generatable code components. Instead of building complete custom applications for each system, the system generates only the necessary access layer (code modules) that can be dynamically assembled, reducing the total quantity of applications needed.
Solution Approach 2:
The code generator creates reusable access patterns and templates that can be copied and adapted across different EHR systems. By storing and reusing proven access patterns for common EHR systems, the system avoids redundant application development and reduces the overall number of applications required.
3Reliability
If developers write custom code for each EHR system integration, then the application can be optimized for that specific system, but the development time and coding effort increase significantly
Solution Approach 1:
The patent performs preliminary actions by pre-defining standardized access patterns, data formats, and error handling procedures for common EHR systems. The code generator retrieves and adapts these pre-prepared patterns rather than creating everything from scratch, significantly reducing development time while maintaining system-specific optimization through targeted customization.
Solution Approach 2:
Instead of rewriting entire applications for different EHR systems, the system changes parameters such as API endpoints, data format mappings, and authentication methods while maintaining the core application logic. The code generator dynamically adjusts these parameters to match the target EHR system, preserving optimization without requiring full redevelopment.
4Ease of manufacture
If applications use standardized interfaces for EHR access, then code reusability and interoperability improve, but the ability to handle diverse and evolving EHR systems decreases
Solution Approach 1:
The patent implements dynamic code generation that creates standardized interfaces adapted to the specific EHR system being accessed. Rather than using a fixed static interface, the system generates the appropriate interface layer at runtime based on the target system's capabilities, maintaining both standardization for reusability and flexibility for handling diversity.
Solution Approach 2:
The code generator employs a nested architecture where standardized access patterns are contained within adaptable wrappers. The nested structure allows standardized reusable components to be embedded within system-specific adaptation layers, enabling both code reusability at the core level and adaptability at the interface level.
Data Source
AI summary
Techniques for enabling a user, having little or no code-writing experience, to build and configure a user-customized software application configured to extract, process, and display information associated with user-selected health records or portions of health records is disclosed. The techniques may include operations such as receiving a selection of a first resource defined by a first EHR system, analyzing metadata associated with the first resource to identify a first set of characteristics corresponding to the first resource, identifying configuration fields associated with the first resource based on the first set of characteristics, presenting the configuration fields associated with the first resource, receiving configuration values for the configuration fields, and generating code for executing API calls to extract data associated with the first resource in accordance with the configuration values and for presenting the data associated with the first resource.