Evidence map›Paper›PMID 39563933›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2024

Clinical decision support in the electronic health record: a primer for antimicrobial stewards and infection preventionists: work smarter so end users don't work harder.

Mary Rochelle Smith, Julie J Lee, Marisa Holubar, Jorge L Salinas, Mindy M Sampson, Richard J Medford, Amy Chang

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Impact of an Interruptive Alert on the Number of Women Receiving CDC-Recommended Therapy for Trichomoniasis.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mary Rochelle SmithDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID https://orcid.org/0009-0006-4833-2217
Julie J LeeDivision of Primary Care and Population Health, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID https://orcid.org/0009-0002-6640-8597
Marisa HolubarDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID https://orcid.org/0000-0002-7585-1809
Jorge L SalinasDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Mindy M SampsonDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Richard J MedfordDivision of Infectious Diseases & Geographic Medicine, Brody School of Medicine, East Carolina University, Greenville, NC, USA.ORCID https://orcid.org/0000-0001-9814-8043
Amy ChangDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID https://orcid.org/0000-0002-1194-8222

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Computerized clinical decision support (CDS) assists healthcare professionals in making decisions to improve patient care. In the realms of antimicrobial stewardship (ASP) and infection prevention (IP) programs, CDS interventions can play a crucial role in optimizing antibiotic prescribing practices, reducing healthcare-associated infections, and promoting diagnostic stewardship when optimally designed. This primer article aims to provide ASP and IP professionals with a practical framework for the development, design, and evaluation of CDS interventions. Setting: Large academic medical center design: Established frameworks of CDS evaluation, "Five Rights" of CDS and the "Ten Commandments of Effective Clinical Decision Support", were applied to two real-world examples of CDS tools, a Vancomycin Best Practice Advisory and a Conclusions: By outlining a structured approach for the development and evaluation of CDS interventions, with focus on end user engagement, efficiency and feasibility, ASP and IP professionals can leverage CDS to enhance IP/ASP quality improvement initiatives aimed to improve antibiotic utilization, diagnostic stewardship, and adherence to IP protocols.

Identifiers

PMID39563933
PMCPMC11574583

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.