AI & ML Intelligence

Tom Kiesau, chief innovation officer and leader, digital and technology transformation, at healthcare consulting firm Chartis, discusses his vision of AI that includes the aging population, clinical and operational AI, AI operating models and much more.

But barely 1 in 10 are properly investing in the infrastructure necessary to support enterprisewide deployments, according to its new research report. An Accenture health analyst unpacks its findings.

Once the AI was implemented with several accounts, the tool codified 99% of medications, 85% of sigs and 96% of allergies, Wise's director of operations and finance reports. It's an almost complete prevention of unmatched or invalid medications.

Artificial intelligence agents coordinating tasks across healthcare workflows were the talk of HIMSS25. In the year ahead, AI is expected to progress cautiously beyond ambient listening to effect new automation in electronic health records.

REM sleep behavior disorder almost always is an early sign of Parkinson's or dementia, often preceding other symptoms by 10-15 years. Researchers think the tool can enable development of new therapies for those diseases.

Dr. Ronald Rodriguez, co-founder of the nation's first MD/MS in artificial intelligence dual degree, offers warnings and solutions for generative AI privacy errors, skyrocketing AI usage costs, and AI correcting mistakes resulting in different errors.

At HIMSS25, Gen. Paul Nakasone, former director of the National Security Agency, said the unique challenges and opportunities of artificial intelligence in healthcare mean, "we all must be willing to take a few microsteps."

Artificial intelligence tools have helped the organization get 100% of outpatient surgeries and 50% of inpatient surgeries opioid-free, says Dr. Zafar Chaudry. AI is helping with stroke prevention, too.

Dr. Zafar Chaudry says artificial intelligence can deliver better patient outcomes, and he requires everyone at the hospital to take AI training. He and his team are configuring Google Gemini AI to handle some clinical use cases.

Artificial intelligence reduced scan times, sometimes by 30%-50%. Diagnostic accuracy improved. And the chances of missed diagnoses were reduced, improving patient outcomes.