Evidence mapPaperPMID 40644430Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

In defense of empathic informatics.

Harry Hochheiser, Shyam Visweswaran

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2025. 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

2 authors.

Harry HochheiserDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15217, United States.ORCID 0000-0001-8793-9982
Shyam VisweswaranDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15217, United States.ORCID 0000-0002-2079-8684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the potential effects of recent restrictions on discussions regarding diversity, equity, and inclusion (DEI) in the field of biomedical informatics. MATERIALS AND

methodsExecutive orders issued by the U.S. federal government regarding diversity and gender issues are discussed in the context of implications for biomedical informatics research.

resultsRestrictions on specific terminology can hinder research into critical topics such as bias and fairness in clinical artificial intelligence and machine learning algorithms. Additionally, these limitations may narrow the scope of questions that informatics research can address and obstruct efforts to enhance the diversity of perspectives within the field. DISCUSSION: Responding to these threats requires a community response. The American Medical Informatics Association (AMIA) can help the informatics community present a united front in support of DEI research in multiple ways.

conclusionThe informatics community should take a strong and unambiguous response to support diversity, equity, and inclusion of underrepresented perspectives in the field.

Indexed as

Biomedical ResearchCultural DiversityMedical InformaticsArtificial IntelligenceHumansUnited Statesdiversityequityinclusioninformatics

Identifiers

PMID40644430
PMCPMC12361854

What Socratic holds

Textmetadata
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 Socratic graph.