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Annotating Music Therapy, Chiropractic and Aquatic Exercise Using Electronic Health Record
Huixue Zhou1, Greg Silverman2, Zhongran Niu1
1Institute for Health Informatics, University of Minnesota, Minneapolis, USA.
This study explored representing Complementary and Integrative Health (CIH) in electronic health records (EHRs). Natural Language Processing (NLP) systems showed moderate success in extracting CIH concepts from clinical notes.
Area of Science:
- Health Informatics
- Complementary and Integrative Health (CIH)
Background:
- Complementary and Integrative Health (CIH) approaches are increasingly popular.
- Integrating CIH information into electronic health records (EHRs) is crucial for research and clinical practice.
Purpose of the Study:
- To represent information on music therapy, chiropractic, and aquatic exercise within an EHR system.
- To evaluate the performance of Natural Language Processing (NLP) systems in extracting CIH concepts from clinical notes.
Main Methods:
- Manually annotated 300 clinical notes for CIH approaches (status, symptom, frequency).
- Used annotations as a gold standard to assess NLP systems (BioMedICUS, MetaMap, cTAKES).
Main Results:
- NLP systems achieved an average F1-score of 0.50 for extracting CIH concepts.
- BioMedICUS demonstrated the highest performance for music therapy, with an F1-score of 0.73.
Conclusions:
- This pilot study demonstrates the feasibility of representing CIH approaches in clinical notes.
- Establishes a foundation for utilizing EHR data in CIH clinical research.
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