Agentic AI for Healthcare: Landscape, Use Cases, and Vendor Strategies

This podcast episode focuses on agentic AI in healthcare, drawing insights from the "Navigating the Rapidly Emerging Agentic AI Vendor Solution Landscape for Healthcare" report. The speakers define agentic AI as dynamic systems that understand context and can reshape healthcare workflows, improve decision-making, and personalize patient experiences. They discuss the core capabilities of agentic AI, including data synthesis, decision support, task automation, and personalized engagement, highlighting potential savings in healthcare spending. The discussion covers how payers and providers can leverage agentic AI to address inefficiencies, improve member satisfaction, and enhance care delivery. The speakers also explore the vendor landscape, categorizing companies into platform companies, RPA companies, SaaS companies, and emerging startups, and offer guidance on selecting the right type of vendor. They conclude by emphasizing the importance of a structured implementation plan, risk mitigation strategies, and avoiding redundancy in AI tools to successfully harness agentic AI in healthcare.