Artificial Intelligence

As workforces shrink, here’s how hospitals can cut costs while still improving patient outcomes.

How can providers and payers use AI and machine learning in value-based care and preventative care to forecast the onset of health conditions and alter patient behavior? Ionian Healthcare Consulting’s founder and consultant Matt Cybulsky has some answers.  

Also, Konkuk University Hospital is joining the latest R&D initiative in South Korea to further enhance Alzheimer's diagnosis through AI.

A Yale University School of Medicine ER clinical informatics expert offers a deep dive preview of his HIMSS24 educational session that will show how artificial intelligence and CDS can boost emergency care.

"Finding out the patient is high-risk after they are diagnosed with cancer is too late," says Dr. Eric Brown, surgical oncologist and breast multidisciplinary team co-lead.

The New Jersey health system's CIDO Sunil Dadlan explains how his teams have worked to implement effective and ethical AI, and offers perspective on challenges around regulations, workforce and interoperability.

2023 was the year marked by AI.

And there are many other opportunities for automation to help reduce RN burnout, says Sophia Henry, clinical consultant at Beckman Coulter Diagnostics, who discusses some of the ethical considerations needed for responsible AI.  

The health system has partnered with Cerebras to develop artificial intelligence models based on decades of anonymized medical records.

Rachini Moosavi, chief analytics officer at University of North Carolina Health, describes how and where AI is deployed at the health system – and says it plans to be ambitious in its deployments in 2024 while still being cautious.