Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Medical Education

Date Submitted: Jul 17, 2023
Open Peer Review Period: Jul 10, 2023 - Sep 4, 2023
Date Accepted: Dec 11, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Increasing Realism and Variety of Virtual Patient Dialogues for Prenatal Counseling Education Through a Novel Application of ChatGPT: Exploratory Observational Study

Gray M, Baird A, Sawyer T, James J, DeBroux T, Bartlett M, Krick JA, Umoren RA

Increasing Realism and Variety of Virtual Patient Dialogues for Prenatal Counseling Education Through a Novel Application of ChatGPT: Exploratory Observational Study

JMIR Med Educ 2024;10:e50705

DOI: 10.2196/50705

PMID: 38300696

PMCID: 10870212

Increasing Realism and Variety of Virtual Patient Dialogue: Novel Application of the Artificial Intelligence ChatGPT to enhance a Conversational Virtual Patient for Prenatal Counseling Education

  • Megan Gray; 
  • Austin Baird; 
  • Taylor Sawyer; 
  • Jasmine James; 
  • Thea DeBroux; 
  • Michelle Bartlett; 
  • Jeanne Alexandra Krick; 
  • Rachel A Umoren

ABSTRACT

Background:

Virtual patients that use natural language processing provide a valuable educational experience for learners. Generating a large, varied sample of realistic and appropriate responses for virtual patients is challenging. Artificial intelligence (AI) programs can be a viable source for these responses, but their utility for this purpose has not been explored.

Objective:

We explored the utility of generative AI (ChatGPT) for developing realistic virtual simulated patient (VSP) dialogue to teach prenatal counseling skills.

Methods:

ChatGPT was prompted to generate a list of common areas of concern (AOC) and questions that families expecting preterm delivery at 24 weeks gestation might ask during prenatal counseling. ChatGPT was then prompted to generate two role plays with dialogue between a parent expecting a potential preterm delivery at 24 weeks and their counseling physician using each of the example questions. The prompt was repeated for two unique role plays; one parent was characterized as anxious and the other as having low trust in the medical system. Role play scripts were exported verbatim and independently reviewed by 2 neonatologists with experience in prenatal counseling using a scale of 1-5 on realism, appropriateness, and utility for VSP responses.

Results:

ChatGPT generated 7 areas of concern with 28 example questions. The 35 role play transcripts generated 176 unique parent responses (median 5, IQR 4-6 per role play) with 268 unique sentences. Expert review identified 117 (65%) of the responses as indicating an emotion, either directly or indirectly. Half of the responses had two or more sentences, and half included at least one question. Over half (104, 58%) of role play parent character responses described a feeling e.g., scared, worried, or concerned. The role play of the parent with low trust in the medical system generated the most number of unique sentences (n=50). The majority of responses were found to be realistic, appropriate for variable conversation paths, and usable in a virtual patient program.

Conclusions:

Generative AI programs such as ChatGPT may provide a viable source of training materials to expand virtual patient programs, with careful attention to the concerns and questions of patients and families. Given the potential for unrealistic or inappropriate statements and questions, an expert should review AI chat outputs before deploying them in an educational program.


 Citation

Please cite as:

Gray M, Baird A, Sawyer T, James J, DeBroux T, Bartlett M, Krick JA, Umoren RA

Increasing Realism and Variety of Virtual Patient Dialogues for Prenatal Counseling Education Through a Novel Application of ChatGPT: Exploratory Observational Study

JMIR Med Educ 2024;10:e50705

DOI: 10.2196/50705

PMID: 38300696

PMCID: 10870212

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.