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Videos

By HIMSS TV | 09:16 am | July 29, 2019
Konstantin Hyppönen, chief architect at Kanta Services in Finland, discusses how better tools can enable patients to manage their own healthcare from home.
By HIMSS TV | 05:05 pm | July 26, 2019
James Hawkins, director of strategy at NHS Digital, discusses how the NHS.UK platform provides users with an app that allows them to access their own records, book appointments, order prescriptions and do basic triage.
By HIMSS TV | 09:18 am | July 26, 2019
HIMSS CTIO Steve Wretling discusses the future of healthcare as well as the key issues, system applications and data outcomes the Health 2.0 Annual Conference brings to the forefront.
By HIMSS TV | 09:33 am | July 25, 2019
The health apps landscape is growing beyond just wellness management, says Liz Ashall-Payne, co-founder and CEO of ORCHA.
By HIMSS TV | 05:16 pm | July 24, 2019
Data ownership, access and control are just a few of the benefits that blockchain can provide in healthcare, says Mirko De Maldè, president at Government Blockchain Association Italy.
By HIMSS TV | 01:21 pm | July 23, 2019
Augmented reality and virtual reality can play an "amazing" role in surgery, helping surgeons, patients and residents, says Tristan van Doormaal, a neurosurgeon at UMC Utrecht in the Netherlands.
By HIMSS TV | 09:37 am | July 23, 2019
If personal impact and realistic processes aren't taken into account, technologies can actually be a hindrance, says HIMSS CTIO Steve Wretling.
By HIMSS TV | 08:37 am | July 22, 2019
Salesforce Chief Medical Officer Dr. Joshua Newman describes how Salesforce Health Cloud can help providers aggregate, analyze and make actionable the data providers need to address social determinants of health.
By HIMSS TV | 05:50 pm | July 19, 2019
State and regional HIEs have the deep experience necessary to improve interoperability, says John Kansky, president and CEO of the Indiana Health Information Exchange.
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By DataRobot | HIMSS TV | 07:06 am | July 19, 2019
DataRobot GM of Healthcare Colleen Greene describes how automating machine learning and artificial intelligence improves the speed and accuracy of predictive models.