A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis
It is possible to develop a comprehensive, automated postpartum conversational agent. The use of such a technology to support patients postdischarge appears to be acceptable with very high engagement and patient satisfaction.
Authors
- Lori A. Christ (ORCID: https://orcid.org/0000-0003-0901-2684)
- Lisa Danielle Levine (ORCID: https://orcid.org/0000-0002-6811-7980)
- Roy Rosin (ORCID: https://orcid.org/0000-0002-5823-9407)
- Nathanael Koelper (ORCID: https://orcid.org/0000-0002-3977-6856)
- Anuja Dokras (ORCID: https://orcid.org/0000-0002-1085-3969)
- Abigail Mandel
- Clare Cutri‐French (ORCID: https://orcid.org/0000-0001-9774-7706)
- Meaghan McCabe (ORCID: https://orcid.org/0000-0001-7981-3538)
- Emily Seltzer (ORCID: https://orcid.org/0000-0002-9879-4739)
- Laura F. Scalise
- Kirstin Leitner (ORCID: https://orcid.org/0009-0005-0181-3841)
- James A Colbert (ORCID: https://orcid.org/0009-0007-8372-8441)
Institutions
- Medical University of South Carolina (US)
- Hospital of the University of Pennsylvania (US)
- Society for Maternal-Fetal Medicine (US)
- San Francisco Department of Public Health (US)
- Penn Center for AIDS Research (US)
- University of Pennsylvania Health System (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- JMIR AI
- Published
- 2025-04-22
- DOI
- https://doi.org/10.2196/58454
- Citations
- 2
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 3.76