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.
RCT Entities:
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.
Authors: A K Jha; G J Kuperman; J M Teich; L Leape; B Shea; E Rittenberg; E Burdick; D L Seger; M Vander Vliet; D W Bates Journal: J Am Med Inform Assoc Date: 1998 May-Jun Impact factor: 4.497
Authors: G J Kuperman; J M Teich; M J Tanasijevic; N Ma'Luf; E Rittenberg; A Jha; J Fiskio; J Winkelman; D W Bates Journal: J Am Med Inform Assoc Date: 1999 Nov-Dec Impact factor: 4.497
Authors: D W Bates; J M Teich; J Lee; D Seger; G J Kuperman; N Ma'Luf; D Boyle; L Leape Journal: J Am Med Inform Assoc Date: 1999 Jul-Aug Impact factor: 4.497
Authors: M Weiner; T Gress; D R Thiemann; M Jenckes; S L Reel; S F Mandell; E B Bass Journal: J Am Med Inform Assoc Date: 1999 May-Jun Impact factor: 4.497
Authors: Anthony D Harris; Jessina C McGregor; Eli N Perencevich; Jon P Furuno; Jingkun Zhu; Dan E Peterson; Joseph Finkelstein Journal: J Am Med Inform Assoc Date: 2005-10-12 Impact factor: 4.497
Authors: Steven H Brown; Linda F Fischetti; Gail Graham; Jack Bates; Anne E Lancaster; David McDaniel; Joseph Gillon; Melody Darbe; Robert M Kolodner Journal: Am J Public Health Date: 2007-04-05 Impact factor: 9.308