Evidence map›Paper›PMID 41742493›Full record

ArticleJournal of veterinary internal medicine2026

Utility of ChatGPT in generating accurate client handouts for common veterinary internal medicine diseases.

Sara R Novak, Leslie Reed-Jones, April A Kedrowicz, Adam J Birkenheuer, Kenneth D Royal, Katherine E McCool

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Article in Journal of veterinary internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sara R NovakDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.
Leslie Reed-JonesDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.
April A KedrowiczDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.ORCID 0000-0002-6464-2294
Adam J BirkenheuerDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.ORCID 0000-0002-2617-2252
Kenneth D RoyalCenter for Behavioral Health Research, College of Social Work, University of Tennessee, Knoxville, TN, United States.ORCID 0000-0002-5508-1480
Katherine E McCoolDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.ORCID 0000-0001-8588-8296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChat Generative Pre-trained Transformer's (ChatGPT) ability to generate client educational materials for use in practice is unknown. HYPOTHESIS/

objectivesTo assess the educational quality of ChatGPT-generated client handouts for common internal medicine diseases. We hypothesized that ChatGPT can be used to efficiently generate easy-to-understand, accurate handouts for client education. ANIMALS: Small Animal Internal Medicine (SAIM) diplomates and pet owners were administered 2 separate electronic surveys.

methodsClient handouts on diabetes mellitus (DM) and immune-mediated hemolytic anemia (IMHA) in dogs and inflammatory bowel disease (IBD) in cats were generated by using a standardized prompt in ChatGPT-3.5. Electronic surveys were distributed to both pet owners and American College of Veterinary Internal Medicine (ACVIM)-SAIM diplomates.

resultsPet owners (n = 50) reported a greater understanding of each disease process after reading the handouts for DM (Z = 5.865, P < .001), IMHA (Z = 5.953, P < .001), and IBD (Z = 5.508, P < .001). Median pet owner satisfaction scores (reported on a scale of 0 to 5, with 0 indicating poor satisfaction and 5 indicating maximal satisfaction) were 4 for DM, 4 for IMHA, and 5 for IBD. Many diplomates reported that they would use the handout on DM (n = 48/67; 71%), IBD (n = 47/62; 76%), and IMHA (n = 32/64; 50%) with either "minor" or "minimal to no" revisions. CONCLUSIONS AND CLINICAL IMPORTANCE: Although some refinement is warranted, ChatGPT-3.5 was able to successfully generate client educational handouts for common internal medicine diseases.

Indexed as

artificial intelligence (AI)discharge instructionshealth literacyowner educationreadability

Identifiers

PMID41742493
PMCPMC12881936

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LicenceCC BY-NC
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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.