ECG Triage Module Prioritizes Urgent Records
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Solution Overview
Problem
Current ECG processing systems face delays in clinician review, as unread records are typically ordered chronologically, leading to delayed detection of urgent patient issues that require immediate clinical intervention.
Innovation Solution
A system and method that prioritize ECG records based on waveform measurements, interpretive statements, and serial comparison statements using a triage module to expedite the review of records likely to represent time-sensitive patient issues, categorizing them into clinical severity categories for efficient clinician overreading.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ECG records are ordered chronologically for review, then the review process is simple and systematic, but urgent patient issues are detected with delays
Solution Approach 1:
The patent changes the ordering parameter of ECG records from chronological order to priority-based order. The system assigns priority levels to ECG records based on their clinical significance, waveform measurements, and interpretive statements, thereby reordering the review queue to place urgent cases first while maintaining systematic review through automated prioritization rules.
Solution Approach 2:
The system performs self-service by automatically analyzing and prioritizing ECG records based on predefined criteria. The automated ECG analysis system evaluates waveform measurements, interpretive statements, and serial comparison statements to assign priority levels, eliminating the need for manual triage while ensuring urgent cases are identified and reviewed first.
2Reliability
If manual ECG review is performed by clinicians, then accurate assessment is achieved, but the process is time consuming and creates backlogs
Solution Approach 1:
The system performs preliminary action by automatically analyzing ECG records and assigning priority levels before clinician review. The automated analysis evaluates waveform measurements, interpretive statements, and serial comparison statements to pre-sort records, allowing clinicians to focus only on prioritized cases and reducing overall review time while maintaining accurate assessment.
Solution Approach 2:
The automated ECG analysis system acts as an intermediary between the ECG monitoring system and clinician reviewers. It processes raw ECG data, generates waveform measurements and interpretive statements, and assigns priority levels, thereby filtering and preparing records for clinician review and reducing the burden on healthcare professionals.
3Quantity of substance
If all ECG records are reviewed equally, then comprehensive coverage is achieved, but resources are not optimized for critical cases
Solution Approach 1:
The patent applies local quality by differentiating the review approach based on the specific characteristics of each ECG record. Instead of uniform treatment, the system assigns different priority levels to different records based on their clinical significance, waveform measurements, and interpretive statements, allowing resources to be optimized for critical cases while maintaining comprehensive coverage through stratified review.
Data Source
AI summary
A method for processing ECG records from multiple patients for clinician overreading includes identifying an unread group of current ECG records from multiple patients awaiting clinician overreading. Each ECG record in the ungroup includes at least a current ECG data, a current waveform measurement, a current interpretative statement, and a serial comparison statement. A set of prioritization rules is applied with a processor to prioritize the current ECG records in the unread group into a prioritized order for clinician overreading based on at least one of the current waveform measurements, the current interpretive statements, and the serial comparison statements. The current ECG records are then presented in the prioritized order for clinician overreading.