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Part One: Major Shifts in Healthcare AI From Foundation Models to Clinical Reality
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.
Part 1: AI in Healthcare Has a Data, Not Intelligence, Problem
What are healthcare organizations discovering after actually trying to deploy agentic AI? Are systems able to assemble a complete picture of the patient?
Part 2: Do Healthcare Organizations Actually Control Their Own Data?
Before healthcare asks how powerful AI will become, it must answer a simpler question: Can we actually access and account for the full patient record?
Keeping Honest in Healthcare: Engineering Accountability into AI
AI is a tool. Humans are accountable. But we can engineer accountability into AI systems by prioritizing data integrity, human oversight, and continuous learning.
Part 2: The End of Healthcare Hype and What 2026 Will Demand
Part 2 features three IKS Health leaders sharing 2026 insights on AI, automation, accountability, workflow integration, and revenue cycle management.
