Evidence map›Paper›PMID 39191426›Full record

ArticleApplied clinical informatics2024

Realizing the Full Potential of Clinical Decision Support: Translating Usability Testing into Routine Practice in Health Care Operations.

Swaminathan Kandaswamy, Herbert Williams, Sarah Anne Thompson, Thomas Elijah Dawson, Naveen Muthu, Evan William Orenstein

Abstract read
In one paragraph

Article in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

6 authors.

Swaminathan KandaswamyDepartment of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States.
Herbert WilliamsDivision of Information Systems and Technology, Children's Healthcare of Atlanta, Atlanta, Georgia, United States.
Sarah Anne ThompsonDivision of Information Systems and Technology, Children's Healthcare of Atlanta, Atlanta, Georgia, United States.
Thomas Elijah DawsonDivision of Information Systems and Technology, Children's Healthcare of Atlanta, Atlanta, Georgia, United States.
Naveen MuthuDepartment of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States.
Evan William OrensteinDepartment of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical Decision Support (CDS) tools have a mixed record of effectiveness, often due to inadequate alignment with clinical workflows and poor usability. While there is a consensus that usability testing methods address these issues, in practice, usability testing is generally only used for selected projects (such as funded research studies). There is a critical need for CDS operations to apply usability testing to all CDS implementations.

objectivesIn this State of the Art/Best Practice paper, we share challenges with scaling usability in health care operations and alternative methods and CDS governance structures to enable usability testing as a routine practice.

methodsWe coalesce our experience and results of applying

resultsWe demonstrate the feasibility of adopting "

conclusionAlthough some methodological rigor was relaxed to accommodate operational speed, the benefits outweighed the limitations. Broader adoption of usability testing may transform CDS implementation and improve health outcomes.

Indexed as

Decision Support Systems, ClinicalDelivery of Health CareHumansUser-Computer Interface

Identifiers

PMID39191426
PMCPMC11617071

What OpenQuestion holds

Textmetadata
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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.