Clinical

Previewing HIMSS24 panels discussing informatics nurses and the realities of genAI for physicians – and how to make the tech viable within healthcare – with Tom Lawry, managing director at Second Century Tech.  

Tom Borys and Abe Berman of the OneCare Vermont ACO discuss how it's helping advance value-based care in the Green Mountain State by rethinking how payers and providers are paid.  

There are a variety of applications of ChatGPT and LLMs in healthcare, and various uses that have the potential to help or harm patients. Dr. Srinivasan Suresh, VP, CIO and CMIO at UPMC Children's Hospital of Pittsburgh, digs into these tools.

Luis Ahumada, director of health data science and analytics at Johns Hopkins All Children's Hospital, explains why gathering high quality data for every population and validation are key to building valuable artificial intelligence models.  

Lessons learned inspire one chapter's local events and support answering members' AI-related questions, said Carrie Murray, president of the HIMSS Southern California chapter.

Jeremy Petch, director of digital health innovation at Hamilton Health Sciences, discusses strategies for ensuring transparent and explainable AI.  

Dr. Benoit Desjardins, professor of radiology at Penn Medicine, describes how automation and AI-powered analysis are transforming clinical imaging workflows.  

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.  

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.

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.