by
Laura Graham, PhD, MPH
Seminar date: 6/18/2024
Description: Limited guidance for defining and documenting regional anesthesia has resulted in wide variation in documentation practices, which can lead to missing and inaccurate data. This seminar will present a natural language processing (NLP)-based algorithm we developed to identify regional anesthesia within unstructured clinical notes. We compared the performance of the NLP-based algorithm to regional anesthesia documentation in CDW and identified more than twice as many regional anesthesia cases using the NLP-based algorithm; findings have implications for regional anesthesia practice, research, and quality improvement efforts.
Intended Audience: Researchers, clinicians, and administrators involved in anesthesia and researchers interested in NLP techniques.
DOWNLOAD: PDF handout | Audio only (mp3) | transcript