HIMSS TV

Jordi Serrano Pons, CEO of UniversalDoctor, says we need to collaborate and work with organizations such as HL7 on developing tools to ensure greater interoperability, while also learning from each other.

Chad Konchak, assistant vice president of Clinical Analytics at NorthShore University HealthSystem, says the challenge is not so much in the technology development but in the cultural maturity for people to realize what the data can do for them.

Elena Bonfiglioli, Microsoft's regional business leader of Health and Life Sciences at EMEA, says empowering clinicians through collaboration and coordination is at the core of improving outcomes through personalized care.

KVC Health Systems CIO Lonnie Johnson describes the predictive modeling goals and first steps toward AI and machine learning of the multi-state provider of foster care and adoption services.

In healthcare, there is a need to improve the speed to an answer without affecting the quality of the answer, says Nigel Hughes, scientific director at Janssen Clinical Innovation.

Kotona At Home is a remote delivery care treatment center whose goal is to give people the means to live at home longer.

Duke University Health System Chief Analytics Officer Stephen Blackwelder says interventions are the hardest part as disparate data has to be interwoven for behavior change if risk is to be mitigated.

The challenge for all countries is to make the data assets actionable, but trust is needed with any data sharing strategy, says Tom Foley, MD, senior clinical lead at NHS Digital.

One of the most common data analytics questions from providers is how to operationalize machine learning and artificial intelligence, says Rob Wellen, regional vice president at KenSci.

The high-tech innovation center includes startups with a mission to improve healthcare around the world, says Konstantin Parshin, vice president of the Skolkovo Foundation.