Most healthcare organizations have run a successful AI pilot. Very few have scaled one. In this piece published on MedCity News, Prashant Sareen, Global Head - Healthcare and Life Sciences at Tredence, argues that the gap between a promising proof-of-concept and enterprise-wide AI adoption is not a technology problem, it is a structural one. He lays out three non-negotiable pillars for scaling AI in healthcare: a structural platform built for data traceability and scale; an AI governance engine anchored in AI-Ops and continuous regulatory readiness; and a cultural core that distributes ownership and champions augmentation over replacement. Together, these pillars shift organizations from running isolated experiments to building a continuous, governed AI capability that earns and sustains trust.
Read the full article on MedCity News →
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Tredence helps healthcare organizations move decisively beyond the pilot trap by building the healthcare data foundation, AI governance infrastructure, and organizational model needed to scale AI in healthcare enterprises. With over 150 AI and ML accelerators through ATOM.AI, deep domain expertise across payers, providers, and life sciences, and a track record with six of the top 15 US healthcare and life sciences enterprises, Tredence turns AI ambition into measurable clinical and operational outcomes.
