MobiHealth News September 21, 2018
Current efforts to create interoperability mostly focus on clinical, not research, use cases.
Big data, machine learning, and interoperability are all topics we’ve been hearing about for many years in health tech. But in fact these banner ideas are deeply intertwined with one another. Machine learning requires a certain amount and type of big data — and interoperability plays a large role in whether or not researchers can gain access to the data they need to train models effectively.
At a panel discussion at Health 2.0’s Provider Symposium, moderated by Healthbox Chief Medical Officer Eric Louie, different speakers weighed in on this complex web of issues.
“We’ve got huge oceans of data both in our electronic medical record systems and...
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