Evidence map›Paper›PMID 42639054›Full record

ArticleJournal of CME2026

Understanding Time Availability and Format Preferences for AI Professional Development in Health Professions Education.

Angie Garcia, Bethany Grubb, Yulia Piller, Leslie Gray, Heather Mowry, John Carter, Jon Williamson, Ramona Dorough

Abstract read
In one paragraph

Article in Journal of CME, 2026. 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

8 authors.

Angie GarciaUT Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0003-2584-2805
Bethany GrubbUT Southwestern Medical Center, Dallas, TX, USA.
Yulia PillerUT Southwestern Medical Center, Dallas, TX, USA.
Leslie GrayUT Southwestern Medical Center, Dallas, TX, USA.
Heather MowryUT Southwestern Medical Center, Dallas, TX, USA.
John CarterUT Southwestern Medical Center, Dallas, TX, USA.
Jon WilliamsonUT Southwestern Medical Center, Dallas, TX, USA.
Ramona DoroughUT Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0002-9966-0505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As AI becomes more integrated into healthcare and health professions education, educators require training that supports AI literacy, responsible use, and practical application. Professional development opportunities must be practical, feasible, and aligned with educators' professional responsibilities and time constraints. This study examined health professions educators' preferences for AI training, including priority topics, preferred formats, time availability, and incentives for participation. We conducted a cross-sectional study using an anonymous REDCap questionnaire between August and November 2025. Clinician educators were recruited through academic and professional networks affiliated with the Association of Schools Advancing Health Professions. Descriptive statistics were used to summarise survey responses. Among 175 participants, most were faculty (

Indexed as

Artificial intelligenceeducational technologyfaculty developmenthealthcare educationprofessional development

Identifiers

PMID42639054
PMCPMC13501771

What OpenQuestion 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 OpenQuestion graph.