Patient-Centered Research Through Artificial Intelligence to Identify Priorities in Cancer Care
This case series demonstrates that AI/NLP-driven analysis of large volumes of patient messages can generate quality research topics in cancer care that reflect patient perspectives, providing valuable guidance for future patient-centered health research endeavors.
Authors
- Michael L. Chen (ORCID: https://orcid.org/0000-0002-0168-1122)
- Jean Y. Tang (ORCID: https://orcid.org/0000-0002-5510-6502)
- Kavita Y. Sarin (ORCID: https://orcid.org/0000-0001-5363-3053)
- Eleni Linos
- Shawheen J. Rezaei (ORCID: https://orcid.org/0000-0002-4394-7371)
- Steven M. Asch (ORCID: https://orcid.org/0000-0001-5838-5335)
- Fauzia Riaz (ORCID: https://orcid.org/0000-0002-6267-3839)
- Allison W. Kurian (ORCID: https://orcid.org/0000-0002-6175-9470)
- Jiyeong Kim (ORCID: https://orcid.org/0000-0002-2869-5751)
- Jennifer Lee Caswell-Jin (ORCID: https://orcid.org/0000-0002-5711-8355)
- Mariana Ramirez-Posada
Institutions
- Stanford University (US)
Publication Details
- Journal
- JAMA Oncology
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1001/jamaoncol.2025.0694
- Citations
- 7
- Primary Topic
- Patient-Provider Communication in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 19.71