AI & ML Intelligence

Dr. Paul A. Testa, CHIO at NYU Langone Health, says artificial intelligence demands the same level of institutional commitment, governance and cultural investment that the best health systems brought to EHR adoption.

The goal is not to micromanage individual clinical decisions, but to shape how technology is governed and trusted at scale, says one consulting firm CEO.

So says Ryan M. Cameron, Children's Nebraska's newly minted chief information and innovation officer. He says provider organizations should pursue a small set of agentic AI projects – not as pilots for innovation's sake, but as fixes for concrete problems.

Artificial intelligence does not replace coder judgment – it instead acts as a consistent second set of eyes, flagging areas that may warrant attention and providing supporting evidence, says the CFO of the health system's human-in-the-loop process.

The public-private effort offers practical examples, common language and reusable tools Medicaid organizations can adapt for their own needs. It's all meant to help states move from uncertainty to confidence with AI.

Primary care physicians can prioritize conversations on heart disease, diabetes and cancer, and frame them around the need for whole-person health. Brain health deserves the same approach, and new technologies are making it easier, says Dr. Julie Wood.

Experts advise healthcare organizations to ask: "Who will be accountable for decisions influenced by artificial intelligence – the clinician, department, vendor or hospital? And what will be needed to defend AI-influenced decisions?"

A physician AI expert walks through the correct ways for hospitals and health systems to handle artificial intelligence and where responsible AI can make the biggest near-term impact without creating new burdens.

Health systems are entering an era of intelligent data management where real-time validation, data quality scoring and robust governance are paramount, says Kevin Ritter of Altera Digital Health.

Unlike claims or EHR data, diagnostics reveal what's occurring biologically in real time – often before symptoms emerge. Especially when combined with AI, it can support smarter treatment decisions, one CEO says.