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How Big Data and mHealth will help feed clinical decision support

In the near future, accountable care organizations will collect patient data for analytics that power clinical decision support systems.

If nationwide efforts to build out HIT infrastructure continue as policy and vendor leaders think they will, meaningful use and health reform initiatives will work in tandem to support health information exchange. This will enable accountable care organizations and other programs, through which patients have a “medical home” where their primary care physicians manage care.

This will require complex IT underpinnings to manage an individual patient's care. As physicians collect data either on their own and enter it into a patient's electronic health record (EHR) or from other sources such as mHealth apps or the patient's Internet-connected home computer, software will run the data through analytics systems. Once the software feeds the data back through clinical decision support systems, physicians will have real-time, evidence-based treatment options with an eye toward both health outcomes and cost containment.

Can this all happen, and how will it progress as many physicians are just beginning to learn how their new EHR systems work? We sat down with medical technologist and Verizon Verizon Connected Healthcare Solutions Vice President and CMO  Peter Tippett, M.D., to get his take.

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How Big Data and mHealth will help feed clinical decision support

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