Automatic prediction of trauma registry procedure codes from emergency room dictations.
Current natural language processing techniques for recognition of concepts in the electronic medical record have been insufficient to allow their broad use for coding information automatically. We have undertaken a preliminary investigation into the use of machine learning methods to recognize procedure codes from emergency room dictations for a trauma registry. Our preliminary results indicate moderate success, and we believe future enhancements with additional learning techniques and selected natural language processing approaches will be fruitful.
Hersh
W R
WR
Division of Medical Informatics and Outcomes Research, School of Medicine, Oregon Health Sciences University, Portland, USA. hersh@ohsu.edu
Leen
T K
TK
Rehfuss
P S
PS
Malveau
S
S
D001185:Artificial Intelligence; D004636:Emergency Service, Hospital; D006801:Humans; D016347:Medical Records Systems, Computerized; D012042:Registries; D014194:Traumatology / Q000145:classification*; D014947:Wounds and Injuries