Artificial intelligence is increasingly influencing workforce decisions across industries, and healthcare is no exception. In a recent Medical Economics podcast, Christopher Mayer discussed how generative AI is being used in employment decisions, including layoffs, and the legal risks that follow. The conversation explored the growing use of AI by healthcare organizations, particularly smaller practices, for administrative efficiency, while also examining the lack of meaningful federal regulation and the likelihood of future litigation as AI-driven decisions become more widespread.
Mayer emphasized that while AI can be a valuable tool, it cannot replace legal judgment or compliance safeguards. He cautioned that employers “can’t blindly accept what an AI tool tells [them] to do,” particularly when reductions in force could create disparate impact across protected groups. He also highlighted practical steps for mitigating risk, including conducting internal analyses before acting on AI-driven recommendations and consulting legal counsel, especially in areas like physician non-compete agreements, where missteps or lack of transparency can quickly lead to significant liability.
Listen to the full podcast with Medical Economics.
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