AI in healthcare is only as reliable as the information underneath it — and the professionals who keep that information trustworthy have been doing the job for decades. Indeed, that was the message Mississippi Artificial Intelligence Network (MAIN) Director Dr. Kollin Napier, Ph.D., delivered on the morning of June 12, 2026. Specifically, he opened Day 2 of the Mississippi Health Information Management Association (MSHIMA) Annual Meeting in Hattiesburg. His session was titled “Advancing AI in Health and Workforce Development.”
AI in healthcare at the MSHIMA Annual Meeting
First, Napier set the stakes. Every AI system a hospital deploys depends on the quality of its records, its data, and the governance around them. In short, the technology cannot outrun the information beneath it.
“AI in a hospital is only as reliable as the information underneath it, and the professionals who keep that information trustworthy have been doing the job for decades,” Napier said.
AI in healthcare: key details
- What: A session, “Advancing AI in Health and Workforce Development.”
- When: The morning of June 12, 2026, opening Day 2.
- Where: The MSHIMA Annual Meeting in Hattiesburg, Mississippi.
- Who: Dr. Kollin Napier, Director of MAIN.
- Why it matters: Trustworthy records and data governance decide whether healthcare AI works.
Good data comes before AI in healthcare
Next, Napier explained why data comes first. Every model, dashboard, and tool relies on clean, well-governed records. As a result, weak data produces weak AI. Above all, he stressed that strong governance is not optional.
Health information professionals have a head start
Notably, health information professionals already own that work. For years, they have protected the quality, access, and security of health records, the discipline known as health information management. Therefore, they enter the AI era with a real head start. In other words, AI does not replace their expertise; it depends on it.
Free AI training for Mississippi’s workforce
Finally, Napier turned to the workforce. Preparing Mississippi for this shift is exactly what MAIN was built to do. For that reason, MAIN’s AI training is free, self-paced, and open to anyone. Better still, there are no prerequisites, and the courses run through all of Mississippi’s institutions.
“Our AI training is free, self-paced, and open to anyone, with no prerequisites,” Napier said.
In closing, MAIN thanks MSHIMA for the invitation to open Day 2.
About MAIN
MAIN is Mississippi’s coordinated statewide AI initiative. For example, it works with partners across education, workforce development, government, and healthcare. As a result, MAIN expands AI literacy, strengthens workforce readiness, and supports responsible AI adoption statewide.
AI in healthcare: frequently asked questions
What was Dr. Napier’s MSHIMA session about?
His session, “Advancing AI in Health and Workforce Development,” explored how trustworthy data underpins AI in healthcare. In addition, it covered how Mississippi can prepare its workforce.
Where was the MSHIMA Annual Meeting held?
It was held in Hattiesburg, Mississippi. Notably, Dr. Napier opened Day 2 on the morning of June 12, 2026.
How does AI in healthcare depend on good data?
Every AI system relies on the quality of a hospital’s records, data, and governance. As a result, strong data and oversight make the technology safer and more useful.
Is MAIN’s AI training really free?
Yes. In fact, MAIN’s AI training is free, self-paced, and open to anyone, with no prerequisites, through all of Mississippi’s institutions.
Related resources
- Start with MAIN’s free AI courses.
- Explore AI degrees and pathways in Mississippi.
- Meet the AI Workforce Readiness Council.
- See how MAIN brought AI training to Mississippi government employees with Anthropic.
- See how teachers can earn free CEUs.
- Read more MAIN news, or learn about MAIN.