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Monthly Archives: July 2016
Five Reasons We Must Untrap Digital Health’s Big Data
We tend to think of Big Data as a Land of Oz where we can find any information we need. What is not appreciated by most in healthcare is that there is a lot of Big Data collected but most … Continue reading
Posted in #digitalhealth, analytics, digital health, digital health technology, EHR, healthcare economics, Healthcare IT, medical apps, medical devices, mHealth, mobile health, pharma, technology, telehealth
Tagged #digitalhealth, #hcldr, ACOs, EHR, healthcare economics, healthcare IT, Medicare, mHealth, mobile health
2 Comments
Five Ways to Turn Big Data into Relevant Data
‘Big Data’ may be defined as data that is so large or complex that it cannot be processed by the usual applications. Current common uses of Big Data in healthcare include the collection of genomic data, insurance claims data, medication prescription … Continue reading
Posted in #digitalhealth, analytics, clinical trials, digital health, digital health technology, EHR, health insurance, healthcare economics, Healthcare IT, informatics, mHealth, mobile health, patient engagement, remote patient monitoring, Uncategorized
Tagged EHR, healthcare IT, HHS, Medicare, mHealth, pharma, technology
1 Comment