Workflow
Dr. Eve Cunningham, chief of virtual care and digital health at Providence, offers perspective and lessons learned about growing and sustaining artificial intelligence and automation initiatives.
Healthcare organizations are looking for the proper use of OpenAI, research on LLMs and bias in AI technology. Harjinder Sandhu, CTO of health platforms and solutions at Microsoft, has the answers.
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.
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.
Dr. Howard Strasberg, Wolters Kluwer’s VP of informatics and an HL7 CDS working group chair, said the HIMSS24 session he is co-presenting will discuss a variety of FHIR-based standards, CDS Hooks and other tools that can help bring AI into workflows.
Dr. Harvey Castro, a practicing ER physician and host of The GPT Podcast offers his thoughts on the promise of artificial intelligence for healthcare.
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.
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.