Agentic AI in Healthcare
- Robert Goodman

- Jun 22
- 2 min read
In the fast-evolving world of healthcare, we’re moving beyond AI as a decision-support tool—and entering the era of Agentic AI. These are AI systems that act with a degree of autonomy, carrying out tasks, collaborating with other agents, and learning over time to improve outcomes. In healthcare, the potential is profound.
From Automation to Intelligence
Traditional automation has helped healthcare organizations streamline administrative tasks—think robotic process automation (RPA) for claims or prior authorizations. But Agentic AI goes further. These systems aren’t just automating rules—they’re reasoning, adapting, and coordinating with other systems or agents to get the job done.
Real-World Use Cases Are Emerging
Autonomous Claims Triage Agents
Agentic AI can monitor inbound claims, identify incomplete or suspicious data, gather supporting documentation, and route them for the appropriate review—all without human intervention.
Prior Authorization Assistants
AI agents can review clinical documentation, extract relevant diagnoses and treatment histories, cross-reference payer policies, and initiate auto-approval where criteria are met.
Quality Measure Monitoring Agents
These agents continuously analyze care gaps, update HEDIS measure status in near real time, and alert case managers when action is needed to close gaps before reporting deadlines.
Multimodal Patient Engagement
Conversational agents equipped with clinical reasoning can proactively reach out to members, answer questions, assist with scheduling, and escalate concerns—all while maintaining empathy and compliance.
Why It Matters Now
Healthcare is under pressure to do more with less—facing workforce shortages, rising administrative burden, and increasingly complex care coordination. Agentic AI offers a scalable, intelligent way to address these challenges, not by replacing humans, but by augmenting them. Think of them as digital teammates—always on, always learning, and always aligned to mission-critical goals.
The Takeaway
Agentic AI isn’t science fiction—it’s arriving now, and healthcare leaders should be thinking proactively about how to safely design, deploy, and govern these systems. The opportunity? Smarter operations, empowered teams, and better outcomes for patients and providers alike.


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