title: Automated interpretation of medical prescription text.
abstract: Many physicians have been reluctant to adopt error-reducing Computerized Physician Order Entry (CPOE) systems, citing a lack of efficiency. This perceived lack of efficiency is often attributed to the user interface, which is invariably a form-like screen. Research was conducted into an alternative in which the physician enters traditional prescription text into a user interface that is analogous to a prescription pad.
authors.affiliation: Southwest Research Institute, San Antonio, TX, USA.
authors.forename: William
authors.initials: W
authors.lastname: Arensman
authors.forename: Nathan
authors.initials: N
authors.lastname: Price
authors.forename: Keith
authors.initials: K
authors.lastname: Pickens
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D055695:Electronic Prescribing; D016247:Information Storage and Retrieval / Q000379:methods; D050316:Medical Order Entry Systems; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D009626:Terminology as Topic; D014481:United States; D014584:User-Computer Interface