Evidence map›Paper›PMID 25580426›Full record

ArticleJMIR medical informatics2014

Exploring a clinically friendly web-based approach to clinical decision support linked to the electronic health record: design philosophy, prototype implementation, and framework for assessment.

Perry Miller, Michael Phipps, Sharmila Chatterjee, Nallakkandi Rajeevan, Forrest Levin, Sandra Frawley, Hajime Tokuno

Abstract read
In one paragraph

Article in JMIR medical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Perry MillerVA Connecticut Healthcare System West Haven, CT United States ; Center for Medical Informatics Yale University School of Medicine New Haven, CT United States ; Department of Anesthesiology Yale University School of Medicine New Haven, CT United States.ORCID 0000-0002-5176-943X
Michael PhippsBaltimore VA Medical Center Baltimore, MD United States ; Department of Neurology University of Maryland School of Medicine Baltimore, MD United States.ORCID 0000-0001-8398-5404
Sharmila ChatterjeeDepartment of Medicine Yale University School of Medicine New Haven, CT United States.ORCID 0000-0001-9043-2760
Nallakkandi RajeevanCenter for Medical Informatics Yale University School of Medicine New Haven, CT United States.ORCID 0000-0002-2045-0872
Forrest LevinVA Connecticut Healthcare System West Haven, CT United States.ORCID 0000-0001-6866-1815
Sandra FrawleyCenter for Medical Informatics Yale University School of Medicine New Haven, CT United States.ORCID 0000-0001-6721-3834
Hajime TokunoVA Connecticut Healthcare System West Haven, CT United States ; Department of Neurology Yale University School of Medicine New Haven, CT United States.ORCID 0000-0001-7965-3706

Funding

YALE UNIVERSITY CLINICAL AND TRANSLATIONAL SCIENCE AWARD PROGRAMUL1RR024139 · NCRR · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2006 to 2011
$56.8M
Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
MEDICAL INFORMATICS RESEARCH TRAINING AT YALET15LM007056 · NLM · YALE UNIVERSITY · PI Mark Bender Gerstein, LUCILA OHNO-MACHADO · 1987 to 2026
$22.2M
NCATS NIH HHS UL1 TR000142NCRR NIH HHS UL1 RR024139NLM NIH HHS T15 LM007056
6 · The paper itself

Abstract

backgroundComputer-based clinical decision support (CDS) is an important component of the electronic health record (EHR). As an increasing amount of CDS is implemented, it will be important that this be accomplished in a fashion that assists in clinical decision making without imposing unacceptable demands and burdens upon the provider's practice.

objectiveThe objective of our study was to explore an approach that allows CDS to be clinician-friendly from a variety of perspectives, to build a prototype implementation that illustrates features of the approach, and to gain experience with a pilot framework for assessment.

methodsThe paper first discusses the project's design philosophy and goals. It then describes a prototype implementation (Neuropath/CDS) that explores the approach in the domain of neuropathic pain and in the context of the US Veterans Administration EHR. Finally, the paper discusses a framework for assessing the approach, illustrated by a pilot assessment of Neuropath/CDS.

resultsThe paper describes the operation and technical design of Neuropath/CDS, as well as the results of the pilot assessment, which emphasize the four areas of focus, scope, content, and presentation.

conclusionsThe work to date has allowed us to explore various design and implementation issues relating to the approach illustrated in Neuropath/CDS, as well as the development and pilot application of a framework for assessment.

Indexed as

clinical decision support systemselectronic health recordsInternetneuropathic paintherapeutics

Identifiers

PMID25580426
PMCPMC4288105

What OpenQuestion holds

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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.