Video

By HIMSS TV 09:01 am June 27, 2019
There are numerous benefits to taking a measured and "start small" approach to healthcare IT compared to a top-down, government approach, says Joe McDonald, director of Connected Health Cities in the UK.
By HIMSS TV 01:40 pm June 26, 2019
Ronald Petru, CMIO at Radboudumc in the Netherlands, says that organizations need to inform their workforce about cybersecurity risks as well as ensure that a proportional investment is made into security to ensure risks are mitigated.
By HIMSS TV 01:11 pm June 26, 2019
UniversalDoctor CEO Jordi Serrano Pons says we need to collaborate and work with organizations such as HL7 on developing tools to ensure greater interoperability on a global level.
By HIMSS TV 08:57 am June 26, 2019
Chad Konchak, assistant vice president of Clinical Analytics at NorthShore University HealthSystem, says the challenge is in the cultural maturity for people to realize what the data can do for them.
By HIMSS TV 03:10 pm June 25, 2019
Empowering clinicians through collaboration and coordination is at the core of improving outcomes through personalized care, says Elena Bonfiglioli, Microsoft's Regional Business Leader Health and Life Sciences at EMEA.
By HIMSS TV 09:11 am June 25, 2019
Nigel Hughes, scientific director at Janssen Clinical Innovation, says healthcare needs to focus on improving the speed to an answer without affecting the quality of the answer.
By HIMSS TV 05:41 pm June 24, 2019
The Kotona At Home remote delivery care treatment center is a model of the future of digital healthcare.
By HIMSS TV 04:25 pm June 24, 2019
Duke University Health System Chief Analytics Officer Stephen Blackwelder discusses what’s the next frontier of analytics.
By HIMSS TV 02:04 pm June 24, 2019
Tom Foley, MD, senior clinical lead at NHS Digital, says the challenge for all countries is to make the data assets actionable, but trust is needed with any data sharing strategy.
By HIMSS TV 08:31 am June 24, 2019
Rob Wellen, regional vice president at KenSci, says one of the most common data analytics questions from providers is how to operationalize machine learning and artificial intelligence.