Ajai Sehgal is Group Chief AI Officer at IKS Health, driving enterprise AI strategy to leverage data and advanced analytics to accelerate innovation and improve healthcare outcomes.
Leaders Ajai Sehgal (Group Chief AI Officer) and Dr. Grace Terrell (Chief Medical Officer) spoke at our Vitalize Summit and advised forgoing massive data cleansing. Instead, they suggested targeting specific workflows, tackling data readiness and AI deployment together for immediate value and scalable future growth.
In the final installment of the series, Healthcare AI and Infrastructure Dependency, we address why healthcare leaders need a trusted partner to provide the infrastructure, expertise, and accountability needed to deploy AI responsibly.
Many AI initiatives never make it past the pilot phase because there is no solid data foundation. IKS Health experts break down how to bridge technical data models with clinical reality to unlock real AI ROI.
At our Vitalize Summit, IKS Health’s leaders Ajai Sehgal (Group Chief AI Officer) and Dr. Grace Terrell (Chief Medical Officer) emphasized that data strategy is AI strategy; clean, accessible data infrastructure is the foundation required to scale beyond concepts.
In the fourth article of the series, Healthcare AI and Infrastructure Dependency, we examine why healthcare leaders must focus on enterprise infrastructure, governance, and partnerships to deploy clinical AI safely at scale.
Curious about what glass-box AI is and why it matters? Learn how it leads to higher accuracy, fewer denials, and a clear audit trail in this primer on how a clinical knowledge layer changes the game in healthcare.
In the third article of the series, Healthcare AI and Infrastructure Dependency, we explore how safety protocols, human oversight, and regulations keep healthcare AI safe and aligned.
In the second installment of our five-part series, Healthcare AI and Infrastructure Dependency, we shift our focus from the power of individual AI innovations to the infrastructure that allows them to deliver lasting value.
Welcome to the first installment of our five-part series. We explore why AI success in healthcare depends on more than just powerful technology; it requires the systems, infrastructure, and partnerships to operate safely and scale effectively.
What are healthcare organizations discovering after actually trying to deploy agentic AI? Are systems able to assemble a complete picture of the patient?
