ECG Type-Ahead Editing With Automatic Severity Updates
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Solution Overview
Problem
Existing ECG devices face issues with clinicians neglecting to update severity correctly and inefficiencies in inputting text data due to similar statement codes, leading to potential misinterpretation and human error.
Innovation Solution
An ECG device with a type ahead module that predicts next words or phrases based on alphanumeric key strokes and context probability, and a report review module that automatically updates severity based on ECG interpretation statements and rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If clinicians manually update ECG interpretation statements, then reporting accuracy can be improved, but time consumption and user error increase
Solution Approach 1:
The system enables automatic severity updating where the ECG device automatically updates the severity field based on the interpretation statements, eliminating the need for manual clinician intervention. The processor automatically detects changes in interpretation statements and updates severity accordingly, making the system self-updating and reducing both time consumption and potential for user error.
Solution Approach 2:
The system implements automatic feedback mechanisms where changes in ECG interpretation statements trigger automatic severity reassessment. When interpretation statements are added, removed, or modified, the system automatically processes these changes and updates the severity field, creating a closed-loop feedback system that maintains accuracy without manual intervention.
2Reliability
If clinicians manually update severity field, then reporting accuracy can be improved, but tendency to neglect updates leads to errors
Solution Approach 1:
The severity field updates automatically without requiring clinician action. The processor monitors interpretation statement changes and self-updates the severity field, eliminating the manual operation step that clinicians were neglecting while maintaining accurate severity reporting.
Solution Approach 2:
The system establishes automatic feedback between interpretation statements and severity field. Any modification to interpretation statements automatically triggers severity reassessment and update, ensuring consistency without requiring manual clinician intervention and eliminating the operational burden.
3Productivity
If alphabetic ordering is used for ECG statement codes, then input efficiency can be improved, but similar codes cause selection errors
Solution Approach 1:
The system changes the ordering parameter from simple alphabetic sequence to a hybrid ordering that incorporates both alphabetic and numerical components of ECG codes. This multi-parameter ordering approach maintains the speed benefits of alphabetic ordering while using numerical differentiators to distinguish between similar codes, thereby improving selection accuracy without sacrificing input efficiency.
Data Source
AI summary
An electrocardiogram (ECG) device includes a processor (114), a memory (116) coupled to the processor and an interface (120) configured to generate an edit window and configured to permit user input in the edit window. A type ahead module (124) is stored in the memory and is responsive to input entered in the edit window. The type ahead module is configured to predict a next word, phrase, interpretation code or category being input by a user based on a subset of alphanumeric key strokes and a context probability associated with a list of possible ECG entries. A report review and edit module (128) may also be stored in the memory. The report review and edit module is configured to update a severity of an ECG report based upon current ECG interpretation statements and rules in accordance with an access or edit operation by an operator.