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First published April 18, 2006 as JAMIA PrePrint; doi:10.1197/jamia.M2049
Journal of the American Medical Informatics Association 2006;13(4):378-384
© 2006 American Medical Informatics Association


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Submitted on January 6, 2006
Accepted on April 7, 2006

Impact of a Computerized Clinical Decision Support System on Reducing Inappropriate Antimicrobial Use: A Randomized Controlled Trial

Jessina C. McGregor PhD1*, Elizabeth Weekes PharmD2, Graeme N. Forrest MBBS3, Harold C. Standiford MD4, Eli N. Perencevich MD, MS5, Jon P. Furuno PhD1, and Anthony D. Harris MD, MPH1

Affiliation of the authors: 1 Department of Epidemiology and Preventive Medicine, University of Maryland School of Medicine, Baltimore, MD, USA ; 2 University of Maryland Medical Center, Baltimore, MD, USA ; 3 Division of Infectious Diseases, University of Maryland School of Medicine, Baltimore, MD, USA ; 4 University of Maryland Medical Center, Baltimore, MD, USA; Division of Infectious Diseases, University of Maryland School of Medicine, Baltimore, MD, USA ; 5 Department of Epidemiology and Preventive Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; VA Maryland Healthcare System, Baltimore, MD, USA

* To whom correspondence should be addressed.

Objective Many hospitals utilize antimicrobial management teams (AMTs) to improve patient care. However, most function with minimal computer support. We evaluated the effectiveness and cost-effectiveness of a computerized clinical decision support system for the management of antimicrobial utilization.

Design A randomized controlled trial in adult inpatients between May 10 and August 3, 2004. Antimicrobial utilization was managed by an existing AMT using the system in the intervention arm and without the system in the control arm. The system was developed to alert the AMT of potentially inadequate antimicrobial therapy.

Measurements Outcomes assessed were hospital antimicrobial expenditures, mortality, length of hospitalization, and time spent managing antimicrobial utilization.

Results The AMT intervened on 359 (16%) of 2,237 patients in the intervention arm and 180 (8%) of 2,270 in the control arm, while spending approximately one hour less each day on the intervention arm. Hospital antimicrobial expenditures were $285,812 in the intervention arm and $370,006 in the control arm, for a savings of $84,194 (23%), or $37.64 per patient. No significant difference was observed in mortality (3.26% vs. 2.95%, p = 0.55) or length of hospitalization (3.84 vs. 3.99 days, p = 0.38).

Conclusion Use of the system facilitated the management of antimicrobial utilization by allowing the AMT to intervene on more patients receiving inadequate antimicrobial therapy and to achieve substantial time and cost savings for the hospital. This is the first study that demonstrates in a patient-randomized controlled trial that computerized clinical decision support systems can improve existing antimicrobial management programs.




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