In today’s ACT Brief, we examine why the future of AI in trials is a trusted orchestration system rather than a single model, how coordinators rate eSource-enabled workflows, and what a bipartisan bill proposes for reusable trial networks.
|Articles|April 12, 2021
Effective Study Start-up Technology Transformation
Author(s)Veeva Systems
Automating study start-up enables faster site activation, better collaboration with study partners, and more informed decision-making. That’s why sponsors and contract research organizations (CROs) are turning to technology specifically designed to manage the intricacies of study start-up.
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In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, describes the industry’s trajectory toward a unified intelligence orchestration environment—and explains why the future isn’t one model that knows everything, but a trusted system that brings the right evidence to the right human decision.
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In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, argues that CROs must act as orchestrators rather than aggregators—and that the real test of any AI ecosystem is whether it reduces sponsor coordination burden or just hands it back to them.
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