EisnerAmper Analyzes AI's Impact on Healthcare Liability and Governance
EisnerAmper has released an analysis on the implications of artificial intelligence (AI) in healthcare, focusing on governance, liability, and emerging risks. The report highlights that AI is altering traditional healthcare liabilities rather than creating new ones. As AI systems are prediction-based, they challenge existing governance and safety protocols. The analysis points out that AI's integration into healthcare is already widespread, affecting clinical documentation, diagnostic support, and patient communication. The report also discusses the complexities of reconstructing AI's role in adverse events and the challenges in insuring AI-related exposures. Healthcare organizations are advised to treat AI adoption as a risk management discipline, emphasizing governance with real authority and runtime controls. 
