Agentic AI in Healthcare: 4 Digital Transformation Lessons

The success of agentic AI in healthcare depends on well-designed workflows. IT departments need to work closely with operations teams for effective deployment. Agentic AI is set to transform healthcare, from improving patient services to optimizing clinical knowledge. However, many healthcare organizations may not be ready to fully use its power. A Microsoft study found only 3% of health system leaders are actively deploying agentic AI, even though about 75% are exploring it. One reason for these challenges is "translation debt," which is the hidden operational work created when AI is added to existing workflows. Executives might think tasks are automated, but instead, the work is often redistributed into more coordination and oversight. IT departments are crucial for redesigning workflows and establishing governance for successful AI outcomes. Bridging the gap between technical and operational teams is key. Drawing lessons from previous digital platform implementations, like electronic health record systems, can help IT and operations collaborate to unlock agentic AI's full potential. This means managing AI translation debt with effective governance.