Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83085, first published .
Evaluating AI-Generated Geriatric Case Studies for Interprofessional Education: Systematic Analysis Across 5 Platforms

Evaluating AI-Generated Geriatric Case Studies for Interprofessional Education: Systematic Analysis Across 5 Platforms

Evaluating AI-Generated Geriatric Case Studies for Interprofessional Education: Systematic Analysis Across 5 Platforms

Nicole Ruggiano   1 , MSW, PhD ;   Sudikshya Sahoo   1 , MSW ;   Ava Brashear   2 ;   Uche Nwatu   1 , MSSW ;   Amie Brunson   1 , LMSW, DSW ;   Hyunjin Noh   1 , MSW, PhD ;   Heather Cole   3 , RN, PhD ;   Robert McKinney   4 , MSW, PhD ;   C Victoria Framil Suarez   5 , RN, DNP ;   Ellen L Brown   5 , RN, MS, EdD ;   Suzanne Prevost   3 , RN, PhD

1 School of Social Work, University of Alabama, Tuscaloosa, AL, United States

2 Department of Kinesiology, College of Education, University of Alabama, Tuscaloosa, AL, United States

3 Capstone College of Nursing, University of Alabama, Tuscaloosa, AL, United States

4 College of Community Health Sciences, University of Alabama, Tuscaloosa, AL, United States

5 Nicole Wertheim College of Nursing and Health Sciences, Florida International University, Miami, AL, United States

Corresponding Author:

  • Nicole Ruggiano, MSW, PhD
  • School of Social Work
  • University of Alabama
  • 801 University Blvd.
  • 129 Farrah Hall
  • Tuscaloosa, AL 35401
  • United States
  • Phone: 1 2053484654
  • Email: nruggiano@ua.edu