Medical Event Tracking for Interoperable EHR Integration
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Solution Overview
Problem
Current electronic health record (EHR) systems face challenges in interoperability, collaborative quality care, and dynamic patient-centric medical records due to their reliance on Personal Medical Information (PMI) for data storage, leading to inefficiencies and inaccuracies in treatment plans.
Innovation Solution
Implementing a medical event tracking system that uses unique medical event tracking numbers to link medical events across care providers, integrating with EHR systems, lab information systems, and radiology systems, enabling real-time communication and coordination of patient care through a Quality Assurance Module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If EHR systems use Personal Medical Information (PMI) for data storage, then patient records can be stored and accessed, but interoperability between different EHR vendors is poor and data integration is inefficient
Solution Approach 1:
The patent introduces a Quality Assurance Module as an intermediary system that sits between different EHR systems, lab information systems, and radiology systems. This module uses unique medical event tracking numbers as a universal identifier to bridge different systems, enabling them to communicate and share data without requiring direct integration between each system pair. The intermediary handles the complexity of data format conversions and protocol translations.
Solution Approach 2:
The patent implements a universal tracking number system that serves multiple functions: identifying patients, tracking medical events, monitoring treatment completion, and enabling communication across different healthcare systems. This single universal identifier replaces the need for multiple separate identification systems, simplifying data integration while improving interoperability across EHR vendors, lab systems, and radiology systems.
2Productivity
If EHR systems store medical data linked to patient identifying information, then patient records are organized, but the system cannot efficiently track treatment plan completion and quality assurance
Solution Approach 1:
The patent implements a feedback mechanism where the Quality Assurance Module continuously monitors treatment plan completion status by tracking medical events through unique tracking numbers. The system receives feedback from various sources (lab results, radiology reports, physician notes) and automatically updates treatment completion status. This feedback loop enables real-time monitoring of quality assurance metrics and identifies when treatment plans are not being completed as expected.
Solution Approach 2:
The patent performs preliminary actions by pre-defining treatment plans with expected milestones and timeframes before patient care begins. The Quality Assurance Module is pre-configured with quality metrics and tracking parameters, allowing it to automatically monitor and evaluate treatment completion without requiring manual intervention. This preliminary setup enables continuous quality assurance monitoring throughout the patient care journey.
3Ease of operation
If EHR systems use static PDF files for record storage, then files are easily stored and accessed, but digital relationship and data connectivity between files is limited
Solution Approach 1:
The patent merges the functionality of separate static PDF files into a dynamic, interconnected digital record system. The Quality Assurance Module integrates multiple data sources (EHR, lab results, radiology images, pathology reports) into a unified tracking framework where all records are linked through unique medical event tracking numbers. This merging creates a cohesive digital thread that maintains data connectivity across all patient records while preserving the ease of file access through a centralized portal.
Data Source
AI summary
Described systems and techniques provide for tracking respective medical events such as a patient's pathology specimen etc., based on a unique medical event tracking number throughout the diagnosis and treatment associated with that specimen. The system and technique generation of living reports of patient health conditions that enables medical event-based tracking in a manner that substantially improves medical care by facilitating “closing-the-loop” between the many medical service providers and the laboratories that may be involved in a particular diagnosis and treatment.