Evidence map›Paper›PMID 37426402›Full record

ArticleCureus2023

Transforming Medical Education: Assessing the Integration of ChatGPT Into Faculty Workflows at a Caribbean Medical School.

Joseph Cross, Raymond Robinson, Sumanth Devaraju, Andrea Vaughans, Ricardo Hood, Tarron Kayalackakom, Prasanna Honnavar, Sheetal Naik, Roopa Sebastian

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 13% of its field
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

13 citing papers in PubMed, 41 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Joseph CrossBiochemistry, Cell Biology & Genetics, American University of Antigua, St. John's, ATG.
Raymond RobinsonClinical Sciences, American University of Antigua, St. John's, ATG.
Sumanth DevarajuFamily Medicine, American University of Antigua, St. John's, ATG.
Andrea VaughansMedical Education and Simulation, American University of Antigua, St. John's, ATG.
Ricardo HoodClinical Sciences, American University of Antigua, St. John's, ATG.
Tarron KayalackakomMedical Education and Simulation, American University of Antigua, St. John's, ATG.
Prasanna HonnavarMicrobiology, American University of Antigua, St. John's, ATG.
Sheetal NaikPhysiology, American University of Antigua, St. John's, ATG.
Roopa SebastianBiochemistry, Cell Biology & Genetics, American University of Antigua, St. John's, ATG.
Texas A&M Health Science Center · USAmerican University of Antigua · AG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChatGPT is a Large Language Model (LLM) which allows for natural language processing and interactions with users in a conversational style. Since its release in 2022, it has had a significant impact in many occupational fields, including medical education. We sought to gain insight into the extent and type of usage of ChatGPT at a Caribbean medical school, the American University of Antigua College of Medicine (AUA).

methodsWe administered a questionnaire to 87 full-time faculty at the school via email. We quantified and made graphical representations of the results via Qualtrics Experience Management software (QualtricsXM, Qualtrics, Provo, UT). Survey results were investigated using bar graph comparisons of absolute numbers and percentages for various categories related to ChatGPT usage, and descriptive statistics for Likert scale questions.

resultsWe found an estimated 33% of faculty were currently using ChatGPT. There was broad acceptance of the program by those who were using it and most believed it should be an option for students. The primary task ChatGPT was being used for was multiple choice question (MCQ) generation. The primary concern faculty had was incorrect information being included in ChatGPT output.

conclusionChatGPT has been quickly adopted by a subset of the college faculty, demonstrating its growing acceptance. Given the level of approval expressed about the program, we believe ChatGPT will continue to form an important and expanding part of faculty workflows at AUA and in medical education in general.

Indexed as

artificial intelligencechatgptmedical educationmedical facultysurveyvirtual assistant

Identifiers

PMID37426402
PMCPMC10328790
OpenAlexW4383265379

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.