Artificial Intelligence

A new reasoning model quantifies how often large language models elaborate on false clinical details fed to them. Prompt mitigation quelled some hallucination frequency, but the AI behind clinical bots may still pose risks, researchers said.

It can be a challenge to find AI tools that work, says Josh Wymer, chief health information & data strategy officer in the Missouri Department of Health and Senior Services, who discusses the importance of taking a unified approach to deployment.

Narayana Health has also reduced administrative workload by over 50%.

While some say the executive order is too broad, others hope that by streamlining approvals and setting development standards it will "accelerate AI adoption in healthcare at a time when the industry has never needed it more."

Punit Soni of Suki, a major vendor of the technology, gives expert advice to healthcare CAIOs, CIOs, CTOs and others implementing the systems and to physicians, nurses and others using the tech.

Punit Soni's company is a major player in this area of artificial intelligence. Here he gives advice to healthcare CAIOs, CIOs and other IT leaders implementing the systems – and to doctors and nurses using them. He sees significant changes coming to healthcare over the next five years.

Dr. Cole Zanetti, professor and director of digital health at Rocky Vista University College of Osteopathic Medicine, discusses the need to train and educate patients, providers and the healthcare workforce about the promise of artificial intelligence.

Doctors at China Medical University Hospital have also spent less time making diagnoses using AI.

Samsung Medical Center CIO and professor Wonchul Cha emphasises that AI implementation is one part of an overall digital transformation.

With synthetic data, innovation doesn't have to come at the cost of privacy – synthetic data enables hospitals, health systems and others to unlock new capabilities while keeping patient trust intact, a healthcare analytics expert says.