Evidence map›Paper›PMID 32823303›Full record

ReviewYearbook of medical informatics2020

Human Factors and Organizational Issues.

Yalini Senathirajah, Sylvia Pelayo, Section Editors for the IMIA Yearbook Section on Human Factors and Organizational Issues

Abstract readReview
In one paragraph

Review in Yearbook of medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yalini SenathirajahU. Pittsburgh School of Medicine, Dept. of Biomedical Informatics, Pittsburgh USA.
Sylvia PelayoUniv. Lille, CHU Lille, ULR 2694, CIC-IT 1403 - Centre d'Investigation Clinique, Lille, France.
Section Editors for the IMIA Yearbook Section on Human Factors and Organizational Issues

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo select the best papers that made original and high impact contributions in the area of human factors and organizational issues in biomedical informatics in 2019.

methodsA rigorous extraction process based on queries from Web of Science® and PubMed/Medline was conducted to identify the scientific contributions published in 2019 that address human factors and organizational issues in biomedical informatics. The screening of papers on titles and abstracts independently by the two editors led to a total of 30 papers. These papers were discussed for a selection of 15 finalist papers, which were then reviewed by the two editors and by three external reviewers from internationally renowned research teams.

resultsThe query process resulted in 626 papers that reveal interesting and rigorous methods and important studies in human factors that move the field forward, particularly in clinical informatics and emerging technologies such as brain-computer interfaces. This year three papers were clearly outstanding and help advance the field. They provide examples of applying existing frameworks together in novel and highly illuminating ways, showing the value of theory development in human factors.

conclusionThe selected papers make important contributions to human factors and organizational issues, expanding and deepening our knowledge of how to apply theory and applications of new technologies in health.

Indexed as

ErgonomicsAmbulatory CareDecision Making, Computer-AssistedHealth Information SystemsHumansMedical ErrorsMedical InformaticsPatient SafetyUser-Computer Interface

Identifiers

PMID32823303
PMCPMC7442497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.