Ochsner Health Taps ER Physician to Steer Its AI Strategy

When a hospital system decides who gets to shape its artificial intelligence strategy, the choice says a lot about its priorities. Ochsner Health, the largest health system in Louisiana, just made that choice clear. It picked a doctor who still works nights in the emergency department.

Dr. Alexander Fortenko has been named Ochsner's new vice president of innovation, a role that puts him at the helm of AI adoption across a sprawling network of 47 hospitals and more than 370 clinics spanning Louisiana, Mississippi and the broader Gulf South. It's a big job with real stakes. Ochsner cared for more than 1.6 million people last year, patients who came from every state in the country and 65 nations abroad. Whatever Fortenko builds will touch an enormous number of lives.

Think of his job like being the safety inspector and the architect at the same time. He's not just approving new tools after they've been built elsewhere. He's meant to guide how AI gets designed, tested and rolled out from the start, making sure it actually helps doctors and patients rather than just adding another layer of complexity to an already strained system.

Fortenko comes to Ochsner from NewYork-Presbyterian and Weill Cornell Medicine, where he served as medical director of Hospital at Home and director of clinical innovation. He holds both a medical degree and a master's in public health from George Washington University, a combination that speaks to his interest in systems-level thinking as much as bedside care. At NYP, he built and launched the Hospital at Home program from scratch, a model that let older adults and patients with complex conditions receive hospital-level acute care without leaving their homes, all while keeping the same safety and clinical oversight standards you'd expect on a hospital floor.

That kind of program only works if you get the balance right. Give patients too little oversight and you risk missing warning signs. Give them too much and you lose the whole point of keeping them comfortable at home. Fortenko's experience threading that needle during a pandemic, when NYP leaned hard on telemedicine to connect critically ill patients to care outside overwhelmed hospital walls, is likely part of why Ochsner brought him on board.

Why a Practicing Clinician Is Leading the Charge

Here's the detail that stands out most: Fortenko isn't stepping away from patient care to take this job. He'll keep working shifts in Ochsner's emergency department even as he leads the data science team, the AI Center of Excellence and the health system's Chief Medical Information Officers group.

That's not a small commitment layered on top of an already demanding executive role. It's a deliberate choice, and Fortenko has said as much himself. He wants to stay close to the day-to-day realities of patient care and the shifting needs of clinicians as he evaluates and rolls out new AI tools. In an industry where technology decisions are too often made by people far removed from the exam room, that hands-on grounding matters.

It also echoes a warning other health system leaders have been raising. Dr. Deepti Pandita, CMIO and VP of clinical informatics at UCI Health, has pointed out that many health systems don't actually know where every AI tool in use even lives within their own walls. Without that kind of visibility, and without leaders who understand both the technology and the clinical floor, governance becomes guesswork. Fortenko's dual role as clinician and strategist seems designed to close that gap.

Ochsner isn't starting from zero here. The system has been experimenting with telemedicine since the 1990s, and in recent years it has moved virtual care from a nice-to-have pilot project to what leaders describe as a core operating strategy woven into hospital operations. That shift has reportedly helped ease staffing shortages and reduce patient falls, real outcomes that matter to nurses working double shifts and to families worried about an elderly parent's hospital stay.

The system has also spent a decade using digital tools to help patients manage chronic conditions like hypertension and diabetes, and it recently integrated new precision medicine capabilities directly into its Epic electronic health record workflows. Precision medicine, for readers unfamiliar with the term, essentially means tailoring treatment to a patient's specific genetic and clinical profile rather than applying a one-size-fits-all approach. Folding that capability into the everyday EHR system that clinicians already use, rather than bolting it on as a separate tool, is exactly the kind of integration Fortenko will likely be pushing further.

"Ochsner has already built an extraordinary foundation in AI integration, with cutting-edge work that rivals the most progressive health systems in the country," Fortenko said in a statement announcing his hire. "My goal is to build on that momentum and help establish Ochsner as the national gold standard for how artificial intelligence can be deployed safely, responsibly and at scale to improve patient care, empower clinicians, and transform the way healthcare is delivered."

That's an ambitious goal, and it comes at a moment when healthcare AI governance is under increasing scrutiny nationwide. Health systems everywhere are grappling with how to track AI tools, audit their use and ensure they don't quietly introduce bias or error into clinical decisions. Some organizations are moving to build audit trails proactively, anticipating that regulators or patients will eventually ask hard questions about how these systems were vetted.

Why It Matters

The stakes here go beyond one health system's org chart. As AI tools proliferate across hospitals, nursing homes and clinics, the people deciding how they get deployed will shape patient outcomes for years to come. A leader who insists on keeping one foot in the emergency department, who has to personally live with the consequences of the tools he approves, offers a different kind of accountability than a purely administrative hire.

Whether that model scales, whether other health systems follow Ochsner's lead in pairing clinical practice with AI strategy leadership, remains to be seen. But for patients and providers alike, the appointment signals a bet worth watching: that responsible AI adoption in medicine starts with someone who still has to answer for it at the bedside, not just in the boardroom.