Supporting Personalized prEgnancy Care wIth Artificial intelligence (SPECIAL): An Acceptability Study of a Personalized Educational Platform

Presentation Time: 04:15 PM - 04:30 PM

Abstract Keywords: Evaluation, Surveys and Needs Analysis, Patient Engagement and Preferences
Primary Track: Applications
Programmatic Theme: Consumer Health Informatics

The SPECIAL project aims to support postpartum depression (PPD) prevention through personalized educational. This study assesses the acceptability of the platform among pregnant individuals. Utilizing the Unified Theory of Acceptance of Use of Technology framework, surveys were conducted with 41 participants. Results suggest potential associations between demographic factors and intention to use the platform. The study finding underscores the feasibility of personalized technology for PPD prevention, highlighting the need for further investigation into socio-demographic influences.

Speaker(s):
Ziwen Zhang, MS
Weill Cornell Medicine

Author(s):
Rochelle Joly, MD - Weill Cornell medicine; Yiye Zhang, PhD - Weill Cornell Medicine;