Free-Text Responses in a Nationally Representative Experimental Survey about End-of-Life Care Choices: ChatGPT-4o-Assisted Qualitative Analytical Study
Surrogates often base end-of-life decisions on dementia stage, perceived quality of life, and their own lived experiences, rather than patient preferences. Using an AI chatbot to perform qualitative analysis on free-text responses may help extend the work of qualitatively trained investigators, especially for large datasets such as free-text responses to large surveys.
Authors
- Mario Macis (ORCID: https://orcid.org/0000-0001-6635-2752)
- Lauren Hersch Nicholas (ORCID: https://orcid.org/0000-0003-0759-2849)
- Elizabeth M. Goldberg (ORCID: https://orcid.org/0000-0003-1817-0705)
- Megan Bounds (ORCID: https://orcid.org/0009-0000-3872-7449)
- Jonathan Gomez Picazo (ORCID: https://orcid.org/0009-0005-0542-7518)
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- University of Colorado Anschutz Medical Campus (US)
Publication Details
- Journal
- JMIR Aging
- Published
- 2025-09-22
- DOI
- https://doi.org/10.2196/76335
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65