Clinical Workflow Mapping for Interoperable EHR Event Streams
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic healthcare record (EHR) systems face interoperability challenges due to differing protocols, formats, and timing of data exchange, leading to inconsistencies in clinical workflows, increased manual intervention, and higher costs.
Innovation Solution
A medical computing system processes data streams from disparate EHR systems using a rules-based engine to map indeterminate clinical workflows to known workflows, applying clinical workflow management files, industry standards, or general parsing models to ensure compliance and store data in a standardized format for surgical platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different EHR systems implement different protocols and formats for data exchange, then each system can be optimized for its specific clinical workflow, but interoperability between systems deteriorates
Solution Approach 1:
The patent introduces an intermediary component (interface engine or mapping service) that sits between disparate EHR systems and translates/transforms data exchanges. This intermediary handles protocol conversion, format normalization, and workflow reconciliation, allowing each EHR system to maintain its optimized clinical workflow while ensuring reliable interoperability through the mediating translation layer.
2Adaptability or versatility
If EHR systems use legacy issues, differing versions, and formats for data exchange, then system independence is maintained, but data consistency and compliance deteriorate
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting data transformation rules, mapping configurations, and protocol versions based on the specific EHR systems involved. The system modifies exchange parameters (formats, timing, content) to accommodate legacy issues and version differences while maintaining data consistency through configurable transformation parameters that ensure compliance.
3Measurement precision
If manual intervention is increased to handle interoperability issues, then data accuracy can be maintained, but productivity and efficiency deteriorate
Solution Approach 1:
The patent implements self-service mechanisms where the interoperability system automatically detects, resolves, and corrects data exchange issues without requiring manual intervention. The system performs self-diagnosis of interoperability problems, automatic mapping of data fields, and real-time correction of compliance issues, thereby maintaining data accuracy while eliminating the productivity loss associated with manual handling.
4Manufacturing precision
If compliance assessment is performed on indeterminate clinical workflows, then data quality can be ensured, but processing time and complexity increase
Solution Approach 1:
The patent applies preliminary action by performing compliance assessments and data quality checks before the actual clinical workflow execution. The system pre-validates data formats, pre-maps workflow fields, and pre-assesses compliance requirements, so that when indeterminate workflows are encountered, the compliance verification can be performed quickly using pre-established rules and mappings, reducing processing time while maintaining data quality.
Data Source
AI summary
A healthcare system accommodates spasmodic clinical workflows for populating a records database associated with a surgical platform or other digital healthcare platform. An interoperability engine receives data streams including events from various electronic health records systems that provide data events according to varying format, order, and timing dependent on their corresponding clinical workflows. The interoperability engine maps indeterminate events to expected events associated with a clinical workflow based on a clinical workflow management file, an industry standard model, a general parsing model, or a combination thereof. The interoperability engine may furthermore detect non-compliance of received events and may generate feedback indicative of a compliance assessment.