Home Icon
Search Icon

Automatically detecting likely edits in clinical notes created using automatic speech recognition.

Citation
Lybarger K, Ostendorf M, Yetisgen M. Automatically detecting likely edits in clinical notes created using automatic speech recognition. AMIA Annu Pro. November 5, 2017.
Link
https://pubmed.ncbi.nlm.nih.gov/29854187/
Principal Investigator
Payne, Thomas H.
Project Name
Improving Accuracy of Electronic Notes Using a Faster, Simpler Approach
Technology
Natural Language Processing System
Voice Recognition
Document Type
Journal Publication
Research Method
Cross-Sectional (Prevalence) Study
Quantitative