Health System CIOs Redefine AI ROI With Patient Outcomes

Hospital technology leaders are reframing what return on investment means for artificial intelligence, pointing to patient outcomes and clinician time rather than pure cost savings. At a Sept. 16 panel during Becker's 11th Annual IT + Revenue Cycle Conference, three health system executives were each asked to name a project's specific ROI, according to Becker's Hospital Review.

Chif Umejei, CIO at NewYork-Presbyterian, answered with a single patient. His team built a diagnostic algorithm alongside the health system's cardiologists that helped identify a condition and set up a transplant. Other leaders on the panel cited reduced readmissions and roughly 20 minutes of time returned to clinicians, both measurable wins that ease documentation burden and improve care.

The framing matters because AI budgets are under scrutiny and boards want proof. By anchoring value in outcomes and workflow relief, these leaders are building a case that AI can pay off in ways that traditional financial metrics miss, even as systems still need to show hard dollars over time.