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Session 3: Track A - Practical Application of A.I. to Keep Patients Engaged and to Inform Study Endpoints
Session Chair(s)
Keith Wenzel
Volunteer
DIA Study Endpoints Community, United States
The term Artificial Intelligence is often bandied about with respect to the possible application for clinical trials, but more practical applications are needed to move life sciences clinical research forward. In this session, our esteemed presenters will present two use cases: one discussing the use of Conversational AI to improve participant recruitment, engagement, and retention; the second will present research on extracting of patient-reported outcomes from publicly available data via a bespoke combination of artificial intelligence (AI) and natural language processing (NLP). These presentations place an emphasis the patient voice and patient engagement to improve clinical research via artificial intelligence.
Learning Objective : - Formulate Conversational AI applications for patient recruitment, engagement and recruitment
- Recommend new methods for the extraction of patient-centered endpoints based
Speaker(s)
Rapid concept elicitation by AI-assisted coding of online patient conversations
Conrad Bessant, PhD
Mebomine, United Kingdom
Conversational AI: Virtual Assistants for Clinical Trial Participants
Stephen Ruhmel, MPH
Janssen Research & Development, United States
Clinical Innovation Lead