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Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
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Related Experiment Video

Updated: Apr 15, 2026

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
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Use of computer decision support in an antimicrobial stewardship program (ASP).

R S Evans1, J A Olson2, E Stenehjem3

  • 1Medical Informatics, Intermountain Healthcare, University of Utah , Salt Lake City, Utah ; Biomedical Informatics, University of Utah, University of Utah , Salt Lake City, Utah.

Applied Clinical Informatics
|April 8, 2015
PubMed
Summary
This summary is machine-generated.

New applications improved antimicrobial stewardship programs (ASPs) by providing timely patient data, enabling efficient audits and better antimicrobial use. This enhances clinical decision-making and patient care.

Keywords:
ASPClinical decision supportantibiotic resistanceantimicrobial stewardshipantimicrobial stewardship programcomputer decision supportmedical informaticspatient specific alerts

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Area of Science:

  • Healthcare Informatics
  • Clinical Pharmacy
  • Infectious Diseases

Background:

  • Antimicrobial stewardship programs (ASPs) face challenges with electronic systems, leading to manual data searches and workflow interruptions.
  • Inefficient information access hinders the ability of ASPs to prospectively audit antimicrobial use and provide timely feedback to clinicians.

Purpose of the Study:

  • To identify information needs and workflow gaps within current electronic applications and reports for ASPs.
  • To develop and implement new applications to improve the prospective auditing capabilities of ASPs and enhance antimicrobial use.

Main Methods:

  • A framework was developed to integrate patient data from electronic medical records, data warehouses, and alert files.
  • New applications were created using input from pharmacists and infectious disease physicians, aligning with CDC/NHSN antibiotic utilization specifications.
  • Alerts and reports were generated and disseminated via pagers, emails, and the National Healthcare Surveillance Network (NHSN).

Main Results:

  • Four novel applications were successfully developed and implemented at Intermountain Medical Center (IMC) and Primary Children's Hospital (PCH).
  • These applications facilitated the use of updated CDC/NHSN antibiotic utilization specifications.
  • Data from IMC and PCH demonstrated a general decrease in the targeted antimicrobial drug utilization.

Conclusions:

  • Effective ASPs require substantial amounts of timely and accessible patient information.
  • The newly developed applications significantly improved the efficiency of antimicrobial use review and patient prioritization.
  • These advancements enable ASPs to optimize patient care through more effective antimicrobial stewardship.