Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Electronic data collection tools for quality improvement: antibiotic utilization project.

Kristin Benson1

  • 1Department of Health Informatics, University of Minnesota, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Making computers work for us.

Minnesota medicine·2002
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles

This quality improvement project tracked broad-spectrum antibiotic use in a pediatric clinic. Electronic tools collected data on antibiotic prescribing patterns, clinical factors, and shared decision-making to enhance antibiotic stewardship.

Area of Science:

  • Pediatric Infectious Diseases
  • Antimicrobial Stewardship
  • Health Informatics

Background:

  • Broad-spectrum antibiotic use in pediatric settings requires detailed data for effective stewardship.
  • Existing pharmacy data lacked linkage to diagnoses, patient volume, and clinical decision-making factors.
  • Quality improvement initiatives are crucial for optimizing antibiotic prescribing patterns.

Purpose of the Study:

  • To characterize patterns of broad-spectrum antibiotic use in a pediatric clinic.
  • To identify clinical factors and shared decision-making influences on antibiotic prescribing.
  • To leverage electronic data collection for improved antibiotic use insights.

Main Methods:

  • A quality improvement project was conducted in an affiliated pediatric clinic.

Related Experiment Videos

  • Physicians utilized handheld computers for data collection on antibiotic prescribing.
  • Web-based surveys gathered patient and staff perspectives on clinical factors and shared decision-making.
  • Main Results:

    • Electronic data collection provided insights into broad-spectrum antibiotic use patterns.
    • The study captured data on diagnostic categories, patient visits, and clinical factors.
    • Parent and physician shared decision-making influences were elucidated.

    Conclusions:

    • Electronic data collection tools are effective for monitoring antibiotic use in pediatric clinics.
    • Understanding clinical context and shared decision-making is vital for antibiotic stewardship.
    • This project provides a foundation for targeted interventions to optimize antibiotic prescribing.