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Impact of Professional Background on Inter-Annotator Variability and Accuracy During Annotation of Clinical Notes
Kristina Weishäupl1, Mario Schuster1, Christina Mayrl1
1University of Applied Sciences Wiener Neustadt, Wiener Neustadt, Austria.
Studies in Health Technology and Informatics
|May 12, 2023
Summary
Professional background did not impact the accuracy of annotating free-text clinical notes for the HerzMobil telemedical disease management program. This finding is crucial for improving patient care and reducing hospitalizations.
Area of Science:
- Medical Informatics
- Health Services Research
- Clinical Data Management
Background:
- The aging population necessitates advanced management for chronic diseases like heart failure.
- Telemedical disease management programs, such as HerzMobil, aim to enhance outpatient care and reduce hospitalizations.
- Accurate annotation of clinical notes is vital for the success of such programs.
Purpose of the Study:
- To analyze inter-annotator variability in free-text clinical note annotation.
- To compare annotation accuracy between healthcare and engineering professional groups within the HerzMobil program.
- To identify factors influencing the reliability of clinical note annotation.
Main Methods:
- A dataset of 1,300 text snippets was annotated by 13 annotators.
- Inter-annotator variability and accuracy were assessed using the F1-score.
- Analyses examined differences across note categories, individual annotators, and professional backgrounds.
Main Results:
- Significant differences in inter-annotator variability and accuracy were observed across different note categories (p<0.0001).
- No statistically significant differences in variability or accuracy were found between healthcare and engineering annotator groups (p=0.15 and p=0.84, respectively).
Conclusions:
- The professional background of annotators does not significantly impact the accuracy of free-text HerzMobil notes.
- Annotation consistency is more influenced by note category than by the annotator's professional discipline.
- These findings support the integration of diverse professional expertise in clinical data annotation.
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