Recently, Hogan Lovells held a workshop on cutting edge issues in reimbursement, including AI. Luckily, they've posted a detailed summary for those who couldn't attend. Find it here:
https://www.hoganlovells.com/en/publications/ai-summit-panelists-offer-tips-for-obtaining-reimbursement-for-innovative-health-care-technology
It's part of their fourth annual AI Health Law & Policy summit.
Speakers included:
- Victoria Wallace, Partner
- Anitra Graves, CMS / FCSO
- Richard Frank MD, in his role as AMA CPT digital medicine co-chair
- David Reich MD, Mt Sinai Health System
- Clark Daniel, Heartflow Govt Relations
Read Hogan Lovell's full summary at the link above.
On the topic of AI and reimbursement, that's one of 5 points raised by Jonathan Blum in a new essay about modernizing CMS.
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AI CORNER
A mini-summary by AI (Chat GPT)
As AI-enabled medical technologies surge forward, the reimbursement landscape is struggling to keep pace. At a recent summit, Hogan Lovells' Victoria Wallace laid out the challenge: Medicare reimbursement is governed by decades-old legislation that never envisioned artificial intelligence. CMS lacks a defined benefit category for AI, and sponsors must wedge cutting-edge tools into outdated regulatory frameworks.
Dr. Anitra Graves, a key Medicare contractor medical director, described efforts to build a CMS taxonomy for autonomous technologies—essential groundwork for future pricing and coverage. But many questions remain, including how to value the complexity of algorithms versus the data they analyze.
Heartflow’s Clark Daniel and Mount Sinai’s Dr. David Reich added real-world insight: from the battles to secure appropriate coding and payer acceptance, to the necessity of embedding AI into clinical workflows. Reich emphasized that AI won’t replace physicians, but those who adopt it will outpace those who don’t.
Representing an AMA committee, Dr. Richard Frank highlighted how CPT coding and regulatory validation must align. A major update to CPT guidance is underway, aiming to define algorithm-specific codes. For now, the message is clear: reimbursement for AI is still a moving target—and stakeholder input is critical.