Healthcare is entering a new era where artificial intelligence is becoming an integral part of clinical workflows—but innovation is only valuable when it solves meaningful problems. In this episode of The Innovator’s Playbook, Seth Narayanan sits down with Nick Yaitsky, former Chief AI Officer and Head of Enterprise Architecture at Wellstar, to explore how healthcare organizations can responsibly adopt AI while keeping clinicians at the center of every decision. Drawing from decades of experience spanning healthcare technology, enterprise architecture, and AI innovation, Nick shares why true innovation begins with understanding people and workflows—not chasing the latest technology trend. Together, they discuss agentic AI, trust and safety, predictive healthcare, leadership in high-stakes environments, and why human judgment will remain essential even as AI capabilities rapidly evolve.
“Once I touched the machine, I was hooked.”
Nick explains how his journey through companies like Sharecare and Wellstar helped him recognize that healthcare’s biggest opportunities lie not simply in digitization, but in transforming how clinicians and patients interact with information.
“Innovation fundamentally is something that solves a problem. People, process, technology—in that order.”
One of the episode’s strongest themes is redefining what innovation actually means. Nick argues that too many organizations chase emerging technologies without first identifying the problem they’re trying to solve. Rather than adopting AI because it’s popular, leaders should begin by understanding workflows, human behavior, and operational challenges before introducing technology.
“Build these systems to give them advice—not tell physicians what they should do. The human in the loop solves the actual problem.”
Nick breaks down agentic AI in practical terms, describing it as a new generation of intelligent automation that enables users to communicate naturally with technology rather than programming every step.
The discussion also explores why deterministic systems still have an important place alongside agentic AI, depending on the clinical use case.
“Healthcare is simply becoming more useful, more integrated, and more transparent.”
Rather than focusing on replacing healthcare professionals, Nick believes AI’s greatest value lies in enhancing clinical decision-making.He discusses how AI is already transforming radiology by helping clinicians analyze medical images faster while incorporating historical patient records to provide richer context.
Instead of replacing expertise, AI gives clinicians additional insights that improve both efficiency and patient outcomes.
“Build up your own ability to think critically. Human interaction can’t be falsified.”
Success depends on building multidisciplinary teams aligned around a shared purpose rather than pursuing innovation for its own sake. For the next generation entering an AI-driven world, Nick offers timeless advice: cultivate curiosity, develop critical thinking, and prioritize genuine human relationships over dependence on technology.
His message serves as a reminder that while AI will continue to evolve, trust, collaboration, and thoughtful leadership will remain uniquely human advantages.