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From Measuring to Modeling the Patient Burden: An Interactive Take on What Defines the Patient Experience in the AI-Age
Session Chair(s)
Mihail Tanev, DMD, PHD
Medical Advisor
FindMeCure Ltd, Bulgaria
Imagine a future where AI measures patient burden from provided inputs. In this interactive workshop, participants will design input logic for AI using mock data and protocols, then present their rationale to foster collaborative learning.
Learning Objective : Define and categorize key factors affecting patient burden in clinical trials; Analyze patient-related data to design effective AI inputs; Evaluate and justify the role of human insight in enhancing AI-driven patient burden assessments for patient-centric trial outcomes.
Speaker(s)
Panelist
Karen Correa, PHD
Boehringer Ingelheim, United States
Vice President, Clinical Development Operations
From Measuring to Modeling the Patient Burden: An Interactive Take on What Defines the Patient Experience in the AI-Age
Mihail Tanev, DMD, PHD
FindMeCure Ltd, Bulgaria
Medical Advisor
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