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Medical students' views and experiences on AI utilization and trust in the technology, are shared by Dr. Patrick Thomas, director of digital innovation in pediatric surgery at the University of Nebraska Medical Center College of Medicine.
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.
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.
Dr. Harvey Castro, a practicing ER physician and host of The GPT Podcast offers his thoughts on the promise of artificial intelligence for healthcare.
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.
In this latest in our series on top health IT voices talking artificial intelligence, Dr. Rebecca G. Mishuris shows how her health system is getting results with the advanced technology and discusses responsible use of AI.
The health system is piloting new tools to streamline workflows, such an ambient listening during patient exams, says Albert Marinez, its chief analytics officer. He describes some lessons learned during early-stage implementation.
Andreessen Horowitz investment partner Jay Rughani discusses the paper he and his colleagues published recently about clinical use cases of AI, and outlined steps regulators should take for reimbursing providers using the technology.