title: Automatic prediction of trauma registry procedure codes from emergency room dictations.
abstract: 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.
authors.affiliation: Division of Medical Informatics and Outcomes Research, School of Medicine, Oregon Health Sciences University, Portland, USA. hersh@ohsu.edu
authors.forename: W R
authors.initials: WR
authors.lastname: Hersh
authors.forename: T K
authors.initials: TK
authors.lastname: Leen
authors.forename: P S
authors.initials: PS
authors.lastname: Rehfuss
authors.forename: S
authors.initials: S
authors.lastname: Malveau
mesh_terms: D001185:Artificial Intelligence; D004636:Emergency Service, Hospital; D006801:Humans; D016347:Medical Records Systems, Computerized; D012042:Registries; D014194:Traumatology / Q000145:classification*; D014947:Wounds and Injuries