Evidence map›Paper›PMID 30611639›Full record

SynthesisAnnals of emergency medicine2019

Scope and Influence of Electronic Health Record-Integrated Clinical Decision Support in the Emergency Department: A Systematic Review.

Brian W Patterson, Michael S Pulia, Shashank Ravi, Peter L T Hoonakker, Ann Schoofs Hundt, Douglas Wiegmann, Emily J Wirkus, Stephen Johnson, Pascale Carayon

Abstract readSystematic Review
In one paragraph

Synthesis in Annals of emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
–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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  3. Trial
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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  15. Article
  16. Article
  17. Facilitators to implementing preventive health interventions for adolescents in the emergency department: A multicenter qualitative analysis.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Article
  18. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Review
  19. Article
  20. 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

9 authors.

Brian W PattersonBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI; Center for Quality and Productivity Improvement, University of Wisconsin-Madison, Madison, WI. Electronic address: bpatter@medicine.wisc.edu.
Michael S PuliaBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.
Shashank RaviDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT.
Peter L T HoonakkerCenter for Quality and Productivity Improvement, University of Wisconsin-Madison, Madison, WI.
Ann Schoofs HundtCenter for Quality and Productivity Improvement, University of Wisconsin-Madison, Madison, WI.
Douglas WiegmannCenter for Quality and Productivity Improvement, University of Wisconsin-Madison, Madison, WI; Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI.
Emily J WirkusCenter for Quality and Productivity Improvement, University of Wisconsin-Madison, Madison, WI.
Stephen JohnsonEbling Library, University of Wisconsin-Madison, Madison, WI.
Pascale CarayonCenter for Quality and Productivity Improvement, University of Wisconsin-Madison, Madison, WI; Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI.

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Health IT-supported process for preventing and managing VTER01HS022086 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI CARAYON, PASCALE · 2013 to 2017
$2.5M
Improving Antibiotic Stewardship During The Treatment of Skin and Soft Tissue Infections in The Emergency Department: A Human Factors and Systems Engineering ApproachK08HS024342 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI PULIA, MICHAEL SANTINO · 2016 to 2020
$801k
Preventing Future Falls among Older Adults Presenting to the Emergency DepartmentK08HS024558 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI PATTERSON, BRIAN W · 2016 to 2020
$792k
AHRQ HHS K08 HS024342AHRQ HHS K08 HS024558AHRQ HHS R01 HS022086NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373
6 · The paper itself

Abstract

STUDY

objectiveAs electronic health records evolve, integration of computerized clinical decision support offers the promise of sorting, collecting, and presenting this information to improve patient care. We conducted a systematic review to examine the scope and influence of electronic health record-integrated clinical decision support technologies implemented in the emergency department (ED).

methodsA literature search was conducted in 4 databases from their inception through January 18, 2018: PubMed, Scopus, the Cumulative Index of Nursing and Allied Health, and Cochrane Central. Studies were included if they examined the effect of a decision support intervention that was implemented in a comprehensive electronic health record in the ED setting. Standardized data collection forms were developed and used to abstract study information and assess risk of bias.

resultsA total of 2,558 potential studies were identified after removal of duplicates. Of these, 42 met inclusion criteria. Common targets for clinical decision support intervention included medication and radiology ordering practices, as well as more comprehensive systems supporting diagnosis and treatment for specific disease entities. The majority of studies (83%) reported positive effects on outcomes studied. Most studies (76%) used a pre-post experimental design, with only 3 (7%) randomized controlled trials.

conclusionNumerous studies suggest that clinical decision support interventions are effective in changing physician practice with respect to process outcomes such as guideline adherence; however, many studies are small and poorly controlled. Future studies should consider the inclusion of more specific information in regard to design choices, attempt to improve on uncontrolled before-after designs, and focus on clinically relevant outcomes wherever possible.

Indexed as

Clinical Decision-MakingDecision Support Systems, ClinicalDiagnostic Tests, RoutineElectronic Health RecordsEmergency Service, HospitalGuideline AdherenceHumansOutcome Assessment, Health CarePatient Care

Identifiers

PMID30611639
PMCPMC6610851

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.