🤖 Agentic AI in Healthcare: Applications and Accountability

An extensive analysis of Agentic Artificial Intelligence (AI), defining it as an autonomous, proactive, and goal-oriented technological paradigm that fundamentally shifts healthcare from reactive to preemptive care. The text distinguishes agentic AI from earlier forms, like predictive and generative AI, by emphasizing its unique ability to autonomously execute complex, multi-step workflows across both clinical applications, such as personalized treatment planning and autonomous patient monitoring, and operational domains, including end-to-end administrative automation. While highlighting the massive strategic and economic value proposition—including cost reduction and improved patient outcomes—the report stresses that the primary adoption barrier is not technical but ethical and legal, centering on an unresolved crisis of accountability known as the "moral crumple zone." Therefore, the successful integration of agentic AI necessitates the development of new governance, legal frameworks, and compliance mechanisms, such as the FDA’s Predetermined Change Control Plan (PCCP), to ensure safety, equity, and trust.