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Archive (2004–1962)

Development and Implementation of Computerized Clinical Guidelines: Barriers and Solutions

Journal: Methods Archive
ISSN: 0026-1270
Issue: 2002 (Vol. 41): Issue 5 2002
Pages: 435-442

Development and Implementation of Computerized Clinical Guidelines: Barriers and Solutions

M. H. Trivedi (1), J. K. Kern (1), A. Marcee (2), B. Grannemann (1), B. Kleiber (1), T. Bettinger (1), K. Z. Altshuler (1), A. McClelland (3)

(1) Department of Psychiatry, (2) Department of Family Practice, (3) Clinical Information Services, University of Texas Southwestern Medical Center at Dallas, Dallas, USA


Medical Informatics, Decision Making, Practice Guidelines, computer assisted, communication barriers


Research indicates that computerized decision support systems (CDSSs) can improve clinical performance and patient outcomes, and yet CDSSs are not in widespread use. Physician guidelines, in general, face barriers in implementation. Guidelines in a computerized format can overcome some of the barriers to conventional text-form guidelines; however, computerized programs have novel aspects that have to be considered, aspects such as technical problems/support and user interface issues that can act as barriers. Though the literature points out that human, organizational, and technical issues can act as barriers in the implementation of CDSSs, studies clearly indicate that there are methods that can over-come these barriers and improve CDSS acceptance and use. These methods come from lessons learned from a variety of CDSS implementation ventures. Notably, most of the methods that improve acceptance and use of a CDSS require feedback and involvement of end-users. Measuring and addressing physician or user attitudes toward the computerized support system has been shown to be important in the successful implementation of a CDSS. This article dis-cusses: 1) the barriers of implementation of guide-lines in general and of CDSSs; 2) the importance of the physician’s role in development, implementation, and adherence; 3) methods that can improve CDSS acceptance and use; and 4) the types of tools needed to obtain end-user feedback.

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