Evidence map›Paper›PMID 40199303›Full record

ReviewYearbook of medical informatics2024

Advances in Clinical Decision Support Systems: Contributions from the 2023 Literature.

Christoph U Lehmann, Vignesh Subbiani

Abstract readReview
In one paragraph

Review in Yearbook of medical informatics, 2024. 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. Review
  2. Digital Health for Precision Prevention.Yearbook of medical informatics · 2024
    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.

Christoph U LehmannThe University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Vignesh SubbianiThe University of Arizona, Tucson, Arizona, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo summarize significant research contributions published in 2023 in the field of clinical decision support (CDS) systems and to select the best papers for the Decision Support section of the International Medical Informatics Association (IMIA) Yearbook 2024.

methodsWe refreshed a previous search query for identifying CDS research using Medical Subject Headings (MeSH) terms and related keywords. The query was executed in PubMed in January 2024. Two reviewers reviewed the search results in three stages: title-based triaging, followed by abstract screening, and then full text review. The resulting articles were sent for external review to identity best paper candidates.

resultsWe retrieved 1948 articles related to CDS, of which four articles were selected as candidates for best papers. The general themes of the final three best papers were (1) improving transfer or discharge timeliness for children in pediatric intensive care units (ICUs), (2) improving acute kidney injury outcomes using medication-targeted interventions, (3) evaluating the safety of medication-related CDS in outpatient settings, and (4) demonstrating potential use cases for CDS in spaceflight missions.

conclusionOur synopsis highlighted the application of CDS in environments ranging from primary care to pediatric ICUs, and even spaceflight, addressing conditions such as acute kidney injury and bronchiolitis. Ongoing evaluation of the safety and effectiveness of these systems continues to be a central focus of CDS implementation efforts.

Indexed as

Decision Support Systems, ClinicalAcute Kidney InjuryHumans

Identifiers

PMID40199303
PMCPMC12020640

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.