HIMSS TV is your Insider’s Guide to everything HIMSS. We are the world’s first online broadcasting network, focused on global innovation and how information and technology are driving change in healthcare.
Christopher Ahn, biomedical engineer supervisor at the U.S. Department of Veteran Affairs in Dayton, Ohio, discusses the nationwide innovation network at the health system, and how AI is transforming med device management and more.
Artificial intelligence is moving quickly, and the Coalition for Health AI (CHAI) is helping steer the course. Dr. Brian Anderson, the group's cofounder and CEO, discusses its draft Responsible Health AI Framework and other alignment imperatives.
Greg Miller, vice president of business development at Carta Healthcare, talks about the next year in AI and genAI, the massive shortage of clinicians and how AI can and must help, and what he views as fearmongering detrimental to AI's future.
Health system C-suites are seeking AI tools that deliver both clinical and economic value and integrate well with EHR workflows, says Dr. Peter Bonis, chief medical officer at Wolters Kluwer Health.
If clinical end users can't be confident in artificial intelligence, it will be difficult to expect them to adopt it, says Dr. Sonya Makhni, medical director of applied informatics at Mayo Clinic Platform.
Dr. Lukasz Kowalczyk, a physician at Colorado-based Peak Gastroenterology Associates, discusses the need to deploy artificial intelligence enterprise wide, with a focus on building models that are clinically useful.
Dr. Antoine Keller, cardiothoracic surgeon at Ochsner Lafayette Hospital, discusses the importance of mitigating implicit bias – and how artificial intelligence can promote access and help the underserved, as with a portable diagnostics tool.
Christine Antorini, former minister of education for Denmark and current nursing student, says mobile-friendly EHRs and AI tools that fit into nurses' workflows can foster better nurse-patient relationships.
According to Dr. Gerald Lip of the UK's NHS Grampian, AI technology reduces radiologists' workloads by 30% and can help improve patient outcomes by detecting small tumors that experienced human readers might not see.
But big challenges remain, says Michael Pencina, director of Duke AI Health, who discusses the IT infrastructure, workforce and workflow hurdles that need to be overcome before its potential is realized.
Nicole Ramage, senior market insights manager at HIMSS, unpacks new research that tracks where healthcare organizations are on their artificial intelligence journeys.
Ran Balicer, CIO of Israel's Clalit Health Services, touts that machine learning can often deliver data-driven answers to healthcare problems efficiently and reliably without the need for LLMs or generative AI.