Evidence map›Paper›PMID 21415065›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2011

Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally developed electronic health record systems.

Adam Wright, Dean F Sittig, Joan S Ash, Joshua Feblowitz, Seth Meltzer, Carmit McMullen, Ken Guappone, Jim Carpenter, Joshua Richardson, Linas Simonaitis and 3 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 5 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

71 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Genetically guided precision medicine clinical decision support tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024
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11 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

13 authors.

Adam WrightDivision of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA. awright5@partners.org
Dean F Sittig
Joan S Ash
Joshua Feblowitz
Seth Meltzer
Carmit McMullen
Ken Guappone
Jim Carpenter
Joshua Richardson
Linas Simonaitis
R Scott Evans
W Paul Nichol
Blackford Middleton

Funding

Clinical Decision Support in Community Hospitals: Barriers & FacilitatorsR56LM006942 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI ASH, JOAN S. · 2007 to 2007
$461k
NLM NIH HHS R56 LM006942NLM NIH HHS R56-LM006942
6 · The paper itself

Abstract

backgroundClinical decision support (CDS) is a valuable tool for improving healthcare quality and lowering costs. However, there is no comprehensive taxonomy of types of CDS and there has been limited research on the availability of various CDS tools across current electronic health record (EHR) systems.

objectiveTo develop and validate a taxonomy of front-end CDS tools and to assess support for these tools in major commercial and internally developed EHRs. STUDY DESIGN AND

methodsWe used a modified Delphi approach with a panel of 11 decision support experts to develop a taxonomy of 53 front-end CDS tools. Based on this taxonomy, a survey on CDS tools was sent to a purposive sample of commercial EHR vendors (n=9) and leading healthcare institutions with internally developed state-of-the-art EHRs (n=4).

resultsResponses were received from all healthcare institutions and 7 of 9 EHR vendors (response rate: 85%). All 53 types of CDS tools identified in the taxonomy were found in at least one surveyed EHR system, but only 8 functions were present in all EHRs. Medication dosing support and order facilitators were the most commonly available classes of decision support, while expert systems (eg, diagnostic decision support, ventilator management suggestions) were the least common.

conclusionWe developed and validated a comprehensive taxonomy of front-end CDS tools. A subsequent survey of commercial EHR vendors and leading healthcare institutions revealed a small core set of common CDS tools, but identified significant variability in the remainder of clinical decision support content.

Indexed as

Electronic Health RecordsSoftware DesignTechnology Assessment, BiomedicalCommerceDecision Support Systems, ClinicalDelphi TechniqueHealth Care SurveysHumansUnited States

Identifiers

PMID21415065
PMCPMC3078666

What OpenQuestion holds

Textmetadata
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.