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Syncing Personal Health Data with Big Data to Reduce Healthcare Costs

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Many see big data as a way to reduce healthcare cost by managing patient oriented outcomes through analytics.

Can high risk patients be identified and targeted for earlier interventions?

While this is the norm for most institutions, the ability of integrating specific technology to mine big data and analyze it allows for the scaling up of healthcare to a larger population.

At the mHealth + Telehealth World 2013 Congress in Boston, MA, I had the opportunity to listen to a great discussion regarding the implication of data on healthcare. It was titled, “The Financial Impact of Technology, Electronic Tools and Data Mining.” The speaker was Philip Fasano, Executive Vice President and Chief Information Officer of Kaiser Permanente.

One of the most interesting comments Mr. Fasano made was that Big Data is not necessarily an IT thing, rather it has roots in financial services and banking. These institutions have been using data to analyze problems and create solutions that lead to innovative products for awhile. Rather, big data for the healthcare industry offers the opportunity to perform patient assessments, research, and studies on a larger scale.

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