Healthcare AI is already inside the health-plan workflow. That was the core message Dr. Kollin Napier, Director of the Mississippi Artificial Intelligence Network (MAIN), shared while opening the 2026 Mississippi Association of Health Plans (MAHP) Annual Conference at The Grand Hotel in Point Clear, Alabama.
Healthcare AI: key takeaways
- MAIN Director Dr. Kollin Napier opened the 2026 MAHP Annual Conference, whose theme was “Below the Surface, On the Horizon.”
- His central point: healthcare AI is already working beneath the surface of health-plan operations.
- The next shift is agentic AI — systems that carry out multi-step work, not just chatbots or simple automation.
- That raises the stakes, so health plans need clear oversight of how these tools are used.
- Through MAIN, Mississippi is helping organizations prepare with practical training and responsible implementation.
Healthcare AI is already beneath the surface
The conference theme, “Below the Surface, On the Horizon,” fits where healthcare AI stands right now. Much of the work is already happening quietly in prior authorization, utilization management, claims, fraud detection, care coordination, and member navigation.
Napier framed adoption as near-universal but uneven. He cited industry research indicating that roughly 94% of payers have adopted AI in some form, even though deeper use in core workflows — and member trust — still lags. In other words, most plans have stepped in, but few have gone deep.
The next shift: from automation to agentic AI
The bigger change is not chatbots or simple automation. Increasingly, AI systems are beginning to carry out multi-step work across complex healthcare workflows — an approach often called agentic AI. For example, an agent can assemble a clinical picture from scattered records and draft a prior-authorization determination, while a licensed clinician still makes the final call.
As a result, the opportunity grows and so do the stakes. The pattern Napier sees across finance, manufacturing, and state government is now showing up in health plans, too.
The regulatory horizon
Napier also pointed to a regulatory horizon that is no longer theoretical. He highlighted the federal CMS-0057-F Interoperability and Prior Authorization rule, which now requires faster prior-authorization decisions — 72 hours for urgent requests and seven days for standard ones — with new data-sharing connections arriving in 2027. In addition, he noted the states are moving quickly, citing tracker data showing more than 240 healthcare-AI bills introduced across 43 states in early 2026. A common thread runs through nearly all of them: a person must own any adverse decision, and AI use should be disclosed.
What health plans should prepare for now
Because these tools touch so many functions, Napier said health plans need clear oversight of how AI is used — especially where vendors, clinical review, member communication, cybersecurity, data sharing, and staff training are involved. Therefore, the practical work is governance: an oversight group spanning clinical, compliance, IT, and finance; transparency and audit rights in vendor contracts; and a recognized framework to guide responsible use.
His challenge to the room was simple. Do not wait until AI is fully visible on the surface before preparing for what is already moving underneath.
How MAIN is helping Mississippi prepare for healthcare AI
Through MAIN, Mississippi is helping organizations prepare for this shift with practical AI training and responsible implementation. The goal is steady, governed adoption — coordination and access across sectors — rather than disconnected pilots.
Frequently asked questions
What did Dr. Kollin Napier speak about at MAHP 2026?
Dr. Napier, Director of MAIN, opened the 2026 MAHP Annual Conference with the message that healthcare AI is already working beneath the surface of health-plan operations, and that plans should prepare now for the next shift toward agentic AI.
What is agentic AI in healthcare?
Agentic AI describes systems that carry out multi-step work across complex workflows rather than simply answering a prompt. In a health plan, an agent might assemble records and draft a prior-authorization determination, while a licensed person still makes the final decision.
How is MAIN helping Mississippi prepare for healthcare AI?
Through MAIN, Mississippi is helping organizations prepare with practical AI training and responsible implementation, including clear oversight of how AI tools are used.
Learn more
Thank you to MAHP for including Dr. Napier in this important conversation about the 2026 MAHP Annual Conference. Explore more Mississippi AI news from MAIN, or learn about our free AI courses.
Topics: healthcare AI, Mississippi AI, MAIN, AI in health plans, MAHP