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Digital Technology in Clinical Trials
Session 3: Track A - Practical Application of A.I. to Keep Patients Engaged and to Inform Study Endpoints
- Senior Director, Scientific Data Organization
- Parexel International, 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
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
- Clinical Innovation Lead
- Janssen Research & Development, United States
Preconference Short Courses
Digital Technology in Clinical Trials Resource Kit