Agentic AI in Health Care: How Autonomous Systems Could Support Physician Decision-Making

Agentic AI acts autonomously to assist physicians by managing tasks like scheduling and care coordination. It reduces administrative burden, allowing more focus on patient care, but raises safety and accountability concerns.

Categorized in: AI News Healthcare
Published on: Jun 22, 2025
Agentic AI in Health Care: How Autonomous Systems Could Support Physician Decision-Making

Agentic AI: Can It Assist Physician Decision-Making?

Agentic AI is gaining attention for its potential role in healthcare, but what practical benefits does it offer physicians? Unlike traditional AI systems that mainly analyze data or provide predictions, agentic AI is built to act autonomously within defined goals. This means it can handle complex, multi-step tasks without constant human input.

In clinical settings, agentic AI could manage activities such as scheduling follow-ups, drafting prior authorization requests, or coordinating care among different providers. It functions more like a skilled assistant who understands both clinical priorities and administrative needs.

How Agentic AI Differs from Traditional AI Tools

Traditional AI tools typically support clinicians by offering insights or automating specific tasks within narrow areas. Agentic AI models, on the other hand, possess a degree of decision-making power. They can prioritize actions, adjust to new information, and initiate workflows independently.

This capability allows agentic AI to streamline operations and reduce the administrative burden on healthcare professionals, potentially freeing up more time for direct patient care.

Challenges and Considerations

Despite its promise, agentic AI raises important questions about safety, oversight, accountability, and trust. How do we ensure these systems act appropriately in complex medical scenarios? Who is responsible if errors occur? Addressing these concerns is key to integrating agentic AI effectively into healthcare.

Isaac Park, CEO of Keebler Health, shares insights on how agentic AI can be deployed safely and effectively within healthcare organizations, highlighting the importance of clear protocols and human oversight.

Looking Ahead

Agentic AI has the potential to reduce administrative workloads and improve efficiency, but it requires careful implementation. Healthcare professionals should stay informed about this technology and consider how it might fit into their workflows.

For those interested in learning more about AI applications in healthcare, training resources are available at Complete AI Training, offering courses tailored to healthcare roles.


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