Evidence map›Paper›PMID 11687560›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Clinical decision support systems for the practice of evidence-based medicine.

I Sim, P Gorman, R A Greenes, R B Haynes, B Kaplan, H Lehmann, P C Tang

Registry-linked trialOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07604597 (Optimization of Antibiotic Treatment in Patients With a Reported Penicillin Allergy Using a Digital Clinical Decision Support Tool.), which is not on this map. Cited by 218 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
218citing papers in PubMed, 13 pooled it
42.7field-weighted citation impact, top 1% of its field
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.

NCT07604597 completednot on this map

Optimization of Antibiotic Treatment in Patients With a Reported Penicillin Allergy Using a Digital Clinical Decision Support Tool.

TypeobservationalSponsorAlthaia Xarxa Assistencial Universitària de ManresaRan2025 to 2026Enrolled182ConditionsPenicillin Allergy, In-hospital Process Optimization
3 · Its place in the literature

Who cites it

218 citing papers in PubMed, 13 syntheses or guidelines pooled it, 741 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Effect of genetics clinical decision support tools on health-care providers' decision making: a mixed-methods systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Trial
  15. Trial
  16. Trial
  17. Trial
  18. Trial
  19. Review
  20. Stakeholder Perspectives of Implementation Barriers of Artificial Intelligence in Eye Care: A qualitative framework-based study.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article

158 more citing papers are in PubMed but not listed here.

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 at 6 institutions in 2 countries.

I SimDepartment of Medicine, University of California-San Francisco, California 94143-0320, USA. sim@medicine.ucsf.edu
P Gorman
R A Greenes
R B Haynes
B Kaplan
H Lehmann
P C Tang
Harvard University · USJohns Hopkins Medicine · USJohns Hopkins University · USOregon Health & Science University · USUniversity of Oregon · USYale University · US

Funding

The Trial Bank ProjectR01LM006780 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SIM, IDA · 1999 to 2009
$3.5M
NLM NIH HHS LM-06780
6 · The paper itself

Abstract

backgroundThe use of clinical decision support systems to facilitate the practice of evidence-based medicine promises to substantially improve health care quality.

objectiveTo describe, on the basis of the proceedings of the Evidence and Decision Support track at the 2000 AMIA Spring Symposium, the research and policy challenges for capturing research and practice-based evidence in machine-interpretable repositories, and to present recommendations for accelerating the development and adoption of clinical decision support systems for evidence-based medicine.

resultsThe recommendations fall into five broad areas--capture literature-based and practice-based evidence in machine--interpretable knowledge bases; develop maintainable technical and methodological foundations for computer-based decision support; evaluate the clinical effects and costs of clinical decision support systems and the ways clinical decision support systems affect and are affected by professional and organizational practices; identify and disseminate best practices for work flow-sensitive implementations of clinical decision support systems; and establish public policies that provide incentives for implementing clinical decision support systems to improve health care quality.

conclusionsAlthough the promise of clinical decision support system-facilitated evidence-based medicine is strong, substantial work remains to be done to realize the potential benefits.

Indexed as

Decision Support Systems, ClinicalDecision Support TechniquesEvidence-Based MedicineHumansMedical Records Systems, ComputerizedPractice Guidelines as Topic

Identifiers

PMID11687560
PMCPMC130063
OpenAlexW2098044946

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.