Health care attorney Tatiana Melnik, J.D., says practices adopting artificial intelligence tools should reread their vendor contracts, train staff every week and plan for patients who decline an AI scribe.
|Articles|October 29, 2013
Legal Guidance for your Medical Practice Holiday Parties
Author(s)Ike Devji, JD
With the holidays rapidly approaching, it’s a good time for a refresher on do’s and don’ts when planning an event for your medical practice.
Advertisement
Editor’s Note: Ike Devji is teaching risk management and asset protection to doctors this week at the American College of Rheumatology convention in San Diego. So we are repeating a previous column that is timely and addresses a serious risk many practices will face or create in the next 60 days.
Advertisement
Related to this article
MGMA's government affairs team walked through the fee schedule, MIPS, value-based care, Medicaid, Medicare Advantage and the year-end spending fight.
Don't 'throw everything at it' before examining reasons why patients don't arrive for treatments.
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.
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.
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.
Akash Madiah said work is underway on the local engagement, education and digital improvements members requested, and MGMA recognized its 2026 honorees, including Lifetime Achievement recipient Tracy Bird.
Advertisement
Advertisement
Trending on Physicians Practice
1
Oct. 1 brings new codes, coding edits and Medicaid limits for practices
2
The 10 federal policy changes that will hit medical practices hardest in 2027
3
Vendor contracts, staff training and patient consent: How practice leaders can reduce AI legal risk
4
Patient no-shows: Find the causes before applying solutions
5