Thought leadership on accountable healthcare transformation.
What physicians need to know about connected workflows
Now is the time to fundamentally rethink how care delivery workflows are designed. Dr. Terrell speaks with KevinMD about solving healthcare’s challenges through a system of action approach.
Part Three: AI Trust, Compliance, and Humans-in-the-Loop
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.
Part Two: The Value of a Compounded Infrastructure to Build Trust and Momentum
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.
From Metrics to Meaning: Rethinking Value-Based Care Delivery
Value based care was introduced with ambitious goals but needs to move beyond box‑checking to actually enabling better care. Dr. Terrell explores model transformation issues and opportunities.
Risk, AI, and the Human Factor Reshaping Healthcare’s Next Chapter
Dr. Wang explores value-based care with a focus on market and operational barriers includingg change management, incentive alignment, and the difficulty of transformation.
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.
A CEO Perspective on KLAS Awards: Accountable Partnerships in Healthcare
Healthcare leaders today operate under sustained pressure. In this environment, outsourcing cannot be transactional. It must be performance-based and measurable.
Connecting the Work Around Care with Integration and Intelligent AI
IKS Health recognition by Black Book for AI-Driven RCM, coding, and clinical documentation reflects how healthcare organizations approach operational improvement.
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?
