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By HIMSS TV | 06:11 pm | June 17, 2019
Physicians and nurses need to be part of any planned digital implementations to ensure a successful digital transformation, says Philippe Kolh, CIO at University Hospital of Liège, a Stage 6 EMRAM hospital.
By HIMSS TV | 03:57 pm | June 17, 2019
It’s necessary to get clinicians interested in cybersecurity because of the potential risks to outcomes, says Saif Abed, MD, founding partner of AbedGraham Healthcare Strategies.
By Dave Muoio | 03:30 pm | June 17, 2019
Both companies are ramping up the pace of their FDA clearances. 
By HIMSS TV | 11:08 am | June 17, 2019
Michael Schwarz, executive director of IS at Indiana University Health System, says you don’t just jump into advanced analytics and machine learning. There’s a natural process.
By HIMSS TV | 02:05 pm | June 14, 2019
One misconception is that machine intelligence will replace human clinicians; AI and ML, in fact,  will actually make the field a more attractive career choice for physicians and radiologists, says CHOC Children's CIO Anthony Chang, MD.
By Dave Muoio | 12:36 pm | June 14, 2019
The companies pitched the upcoming service as a convenient in-home option for Medicare Advantage patients overwhelmed by digital apps. 
By HIMSS TV | 10:24 am | June 14, 2019
StethoMe's use of AI helped its smart stethoscope win the EC2VC pitch competition, says CEO and co-founder Wojciech Radomski, who discusses why AI is crucial in an era where more and more digital health devices are found in the home.
By HIMSS TV | 09:36 am | June 14, 2019
Thryve CEO and co-founder Friedrich Lämmel talks about his company’s EC2VC-winning solution that provides health-related data from smartphones and other digital devices, as well as the future of digital health startups.
By Dave Muoio | 05:10 pm | June 13, 2019
Internal projects yielding clear value can sway top-level decision makers, healthcare analytics experts speaking at today's HIMSS Machine Learning & AI for Healthcare conference said.
By Jonah Comstock | 04:03 pm | June 13, 2019
To take full advantage of AI, organizations need the right team, clear metrics and goals, and the right expectations about real-world accuracy.