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J Am Med Inform Assoc. 2001;8:486-498. DOI .
© 2001 American Medical Informatics Association


Research Paper

Evaluation of a Command-line Parser-based Order Entry Pathway for the Department of Veterans Affairs Electronic Patient Record

Christian Lovis, MD, MPH, Michael K. Chapko, PhD, Diane P. Martin, PhD, Thomas H. Payne, MD, MPH, Robert H. Baud, PhD, Patty J. Hoey, RPh and Stephan D. Fihn, MD, MPH

Affiliations of the authors: Veterans Affairs Puget Sound Health Care System, Seattle, Washington (CL, MKC, THP, PJH, SDF); School of Public Health, University of Washington, Seattle, Washington (DPM); University Hospital of Geneva, Geneva, Switzerland (RHB).

and reprints: Christian Lovis, MD, MPH, Integrated Electronic Patient Record Group, Division of Medical Informatics, University Hospital of Geneva, 21, Micheli-du-Crest, CH-1211 Geneva 4, Switzerland; e-mail: christian.lovis{at}dim.hcuge.ch.

Received for publication: 12/09/00; accepted for publication: 05/14/01.

Objective: To improve and simplify electronic order entry in an existing electronic patient record, the authors developed an alternative system for entering orders, which is based on a command- interface using robust and simple natural-language techniques.

Design: The authors conducted a randomized evaluation of the new entry pathway, measuring time to complete a standard set of orders, and users' satisfaction measured by questionnaire. A group of 16 physician volunteers from the staff of the Department of Veterans Affairs Puget Sound Health Care System–Seattle Division participated in the evaluation.

Results: Thirteen of the 16 physicians (81%) were able to enter medical orders more quickly using the natural-language–based entry system than the standard graphical user interface that uses menus and dialogs (mean time spared, 16.06 ± 4.52 minutes; P=0.029). Compared with the graphical user interface, the command-–based pathway was perceived as easier to learn (P<0.01), was considered easier to use and faster (P<0.01), and was rated better overall (P<0.05).

Conclusion: Physicians found the command- interface easier to learn and faster to use than the usual menu-driven system. The major advantage of the system is that it combines an intuitive graphical user interface with the power and speed of a natural-language analyzer.




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