From our experience, we know that there is growing interest in agentic AI in healthcare, but organizations are more likely to wait and see what their peers are doing before diving into their own testing. They want to see their peers refine their approach and be more confident in the use cases relevant to healthcare.
But rather than waiting on the sidelines, healthcare organizations can wade into the waters safely and with key experience from a strategic partner. If there’s hesitation because there isn’t a dedicated AI team at your organization or extensive budget, find out how CDW can help you take your first steps on your agentic AI journey.
Tailoring AI Agents to Healthcare Workflows
Providers are struggling with slim margins, workforce shortages and process inefficiencies, so it’s clear why there’s interest in agentic AI. Organizations have found use cases for back-office and administrative functions that are helping to alleviate rote tasks.
AI agents are helping in healthcare contact centers, supporting patients with self-service functions such as appointment scheduling and some health screenings. Deploying AI agents in these areas has helped to improve the patient experience and free up human staffers to work on more mission-critical work.
DISCOVER: Take advantage of data and AI for better healthcare outcomes.
How a Strategic Partner Can Support Healthcare AI Adoption
A partner like CDW can help provide the technical expertise that a healthcare organization may not have and support the refinement of a solution. With our healthcare experience, attention to concerns around compliance and security are built in. Deploying agentic AI requires governance and oversight that we can help strengthen.
One workshop we offer helps organizations hone their AI strategy through use case ideation and prioritization, moving them steadily from a whiteboard full of ideas to a concreate roadmap for ROI-validated use cases ready for rollout. CDW Field Solution Architect Jason Clishe discussed the workshop last month during a session at Google Cloud Next 2026.
“You're not teaching a tool; you're teaching a new way to solve an old problem. What you're really doing is creating new business processes from the beginning,” Clishe said.
In the future, as agentic AI continues to mature in the clinical space, we can imagine the role of AI agents growing for virtual care or remote patient monitoring. When we think about a seamless continuum of care, we can envision a future where AI agents support that journey.
This article is part of HealthTech’s MonITor blog series.
