Evidence map›Paper›PMID 21991299›Full record

ArticleApplied clinical informatics2010

Best Practices in Clinical Decision Support: the Case of Preventive Care Reminders.

Adam Wright, Shobha Phansalkar, Meryl Bloomrosen, Robert A Jenders, Anne M Bobb, John D Halamka, Gilad Kuperman, Thomas H Payne, Sheila Teasdale, Allen J Vaida and 1 more

Abstract read
In one paragraph

Article in Applied clinical informatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
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  14. Performance of a Clinical Decision Support Tool to Identify PICU Patients at High Risk for Clinical Deterioration.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
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  20. Implications for informatics given expanding access to care for Veterans and other populations.Journal of the American Medical Informatics Association : JAMIA · 2015
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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

11 authors.

Adam WrightBrigham & Women's Hospital, Boston, MA, USA.
Shobha Phansalkar
Meryl Bloomrosen
Robert A Jenders
Anne M Bobb
John D Halamka
Gilad Kuperman
Thomas H Payne
Sheila Teasdale
Allen J Vaida
David W Bates

Funding

Unintended Consequences of Physician Order EntryR01LM006942 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI ASH, JOAN S. · 2000 to 2010
$4.0M
AHRQ HHS U18 HS016970NLM NIH HHS R01 LM006942
6 · The paper itself

Abstract

backgroundEvidence demonstrates that clinical decision support (CDS) is a powerful tool for improving healthcare quality and ensuring patient safety. However, implementing and maintaining effective decision support interventions presents multiple technical and organizational challenges. PURPOSE: To identify best practices for CDS, using the domain of preventive care reminders as an example.

methodsWe assembled a panel of experts in CDS and held a series of facilitated online and in-person discussions. We analyzed the results of these discussions using a grounded theory method to elicit themes and best practices.

resultsEight best practice themes were identified as important: deliver CDS in the most appropriate ways, develop effective governance structures, consider use of incentives, be aware of workflow, keep content current, monitor and evaluate impact, maintain high quality data, and consider sharing content. Keys themes within each of these areas were also described.

conclusionSuccessful implementation of CDS requires consideration of both technical and socio-technical factors. The themes identified in this study provide guidance on crucial factors that need consideration when CDS is implemented across healthcare settings. These best practice themes may be useful for developers, implementers, and users of decision support.

Identifiers

PMID21991299
PMCPMC3189503

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.