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Related Experiment Videos

Improving empiric antibiotic selection using computer decision support

R S Evans1, D C Classen, S L Pestotnik

  • 1Department of Clinical Epidemiology, LDS Hospital, Salt Lake City, UT 84143.

Archives of Internal Medicine
|April 25, 1994
PubMed
Summary
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A computerized antibiotic consultant improved empiric antibiotic selection for infections. The system achieved higher susceptibility rates and faster appropriate antibiotic ordering compared to physician judgment alone.

Area of Science:

  • Medical Informatics
  • Infectious Diseases
  • Clinical Decision Support

Background:

  • Empiric antibiotic therapy is often initiated before culture and susceptibility results are available.
  • Physicians require tools to optimize empiric antibiotic selection.
  • Computerized decision support systems can aid in this process.

Purpose of the Study:

  • To develop and evaluate a computerized antibiotic consultant.
  • To assess the impact of the consultant on empiric antibiotic selection.
  • To compare consultant recommendations with physician choices.

Main Methods:

  • A two-stage randomized study design was employed.
  • Compared consultant-suggested antibiotics with 482 culture and susceptibility results.

Related Experiment Videos

  • Evaluated physician antibiotic orders before and after consultant use.
  • Main Results:

    • The antibiotic consultant achieved 94% pathogen susceptibility, compared to 77% for physician orders (P < .001).
    • Appropriate antibiotics were ordered significantly faster with the consultant (within 12 hours vs. 21 hours mean time).
    • Physicians reported high satisfaction and perceived improvement in patient care.

    Conclusions:

    • Computer-based medical record information can enhance empiric antibiotic selection.
    • Decision support tools are valuable for optimizing antibiotic therapy.
    • The study demonstrates the efficacy of a computerized antibiotic consultant.