From payer contract homework to a 15-minute morning huddle, these are the moves practice administrators can make after four days of sessions and interviews at MGMA's centennial meeting.
Blog|Articles|May 18, 2026
8 steps to build an AI governance plan for your practice
Author(s)Keith A. Reynolds
Fact checked by: Chris Mazzolini, A.C. Baltz
Eight practical steps to govern AI in your practice, from naming an owner to vetting vendors and training your team.
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Physicians’ use of artificial intelligence (AI) has more than doubled in three years, and in most practices, adoption is running well ahead of any plan to govern it.
Putting structure around AI does not require a health system’s budget or staff. The same governance steps that large organizations rely on scale down to a single practice — and skipping them costs you in liability, rework and lost trust, usually at the worst possible time.
Here are eight steps to put in place now.
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Six national physician organizations warned that claims of AI superiority undermine patient trust, putting new attention on how practices set rules for AI use by clinicians and staff.
A family physician and practice owner shares the structure, roles and timing that make her team's 15-minute morning huddle work, and how to adapt it to a practice of any size.
MGMA's senior vice president of IT explains how administrators can choose technology, win staff buy-in and keep up with cybersecurity updates.
A Utah program allows Nolla Health's AI to prescribe acne treatment within physician-approved limits. Physician review scales back as more patients enroll.
Medicaid work requirements, new remote monitoring rules and an electronic prior authorization deadline all land Jan. 1, and that's only part of what MGMA told practice leaders to watch.
Hold times, delayed approvals and denials on authorized care dominated member feedback to MGMA's government affairs team.
Seema Verma describes state of AI deployment in medical practices for MGMA.
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