Evidence map›Paper›PMID 40843327›Full record

ArticleNorthern clinics of Istanbul2025

Usability assessments in clinical decision support systems.

Hikmet Can Cubukcu, Hayri Canbaz

Abstract read
In one paragraph

Article in Northern clinics of Istanbul, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Hikmet Can CubukcuDepartment of Rare Diseases, Turkish Ministry of Health, General Directorate of Health Services, Ankara, Turkiye.
Hayri CanbazDepartment of Emergency Medicine, Yenimahalle Training and Research Hospital, Ankara, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical decision support (CDS) tools play a crucial role in assisting healthcare professionals in making informed decisions. However, the full potential of CDS systems has not been realized due to various usability issues. This paper provides an overview of usability issues identified in CDS tools, including graphical user interface issues, user experience problems, terminology clarity, and user control problems. Several usability assessment methods, such as heuristic evaluation, think-aloud testing, cognitive walk-through, and surveys, are employed to evaluate CDS tool usability. These methods reveal strengths and weaknesses in CDS tool design, guiding improvements to enhance usability. The findings of this review emphasize the importance of incorporating user feedback, employing iterative processes, and addressing interface design challenges to optimize the usability and acceptance of CDS tools in healthcare settings. By addressing these usability issues, healthcare professionals can leverage CDS tools effectively to improve patient outcomes.

Indexed as

Decision support systemsdiagnosisheuristicsuser-centered design

Identifiers

PMID40843327
PMCPMC12365488

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.