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Health IT leaders in the public and private sectors are working to shift from volume-based to value-based care reimbursement models, and identify ways to use data to improve care outcomes, and reduce costs. According to the 2015 HIMSS Leadership Survey, although 41% of respondents think Big Data analytics is a number one priority for their organization, 81% still have basic questions around the quantity and type of data they should be collecting and how to actually turn that data into insight. Many in the Federal IT community are working hard to improve how we manage, analyze, and secure health information. Last month, Congress authorized $233 million towards the Department of Veterans Affairs’ ongoing effort to overhaul its electronic health record system. And, the “Cancer MoonShot 2020” was recently enacted – with the goal of curing cancer by 2020. By using the same drive and focus it took to get man to the moon in 1969, this initiative plans to accelerate the development of immunotherapies to treat cancer – and Big Data analytics will be key. What steps can healthcare providers take to break down health information silos and create an infrastructure that enables real innovation? To continue the discussion, join us at HIMSS 2016 this week, from February 29-March 4, booth 1921. And, check out my colleague Dave DeAngelis’ recent blog post, “Making Waves: Health IT Dives Into Data Lakes.” Read: Making Waves: Health IT Dives Into Data Lakes Author information |
