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

Lovis, Christian ; Chapko, Michael K. ; Martin, Diane P. ; Payne, Thomas H. ; Baud, Robert H. ; Hoey, Patty J. ; Fihn, Stephan D.

In: Journal of the American Medical Informatics Association, 2001, vol. 8, no. 5, p. 486-498

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    Titre
    • Evaluation of a Command-line Parser-based Order Entry Pathway for the Department of Veterans Affairs Electronic Patient Record
    Auteur
    • Lovis, Christian. 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)
    • Chapko, Michael K.. 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)
    • Martin, Diane P.. 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)
    • Payne, Thomas H.. 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)
    • Baud, Robert H.. 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)
    • Hoey, Patty J.. 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)
    • Fihn, Stephan D.. 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)
    Type de document
    • Postprint
    Langue
    • Inglese
    Publié dans
    • Journal of the American Medical Informatics Association, 2001, vol. 8, no. 5, p. 486-498. BMJ Group
    Autre version électronique
    Classification
    • Santé
    Identifiant OAI-PMH
    • oai:doc.rero.ch:304845
    Summary
    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