What changed
Mount Sinai Health System Inc. is incorporating AI agents into its healthcare revenue cycle to handle denied claims and reduce manual work. According to Salonia Brown, system vice president of revenue cycle at Mount Sinai, the integration starts with clear workflows and accountability when automation encounters exceptions. Without these foundations, adding AI could exacerbate existing management challenges.
What this means in practice
Adonis Technology Inc., the company behind the AI agents, uses voice AI to call insurers for claims information, making tens of thousands of calls weekly on behalf of its partners. At Mount Sinai, Brown’s team identifies which tasks can be automated and which require critical judgment. Employees must trust the technology and know who is responsible when an exception arises. The goal is to free staff from repetitive administrative work so they can focus on more complex cases.
Limitations and availability
The supplied announcement does not specify the exact number of AI agents deployed or the specific metrics on claim resolution times. However, it highlights the importance of governance and economics in implementing AI effectively. The integration is part of a broader industry discussion on how AI can be applied to the healthcare revenue cycle, with insights from industry experts and health system leaders.
