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Data Silos Are an Underappreciated Medical Tragedy

Posted by Jeremy Guttman on 9/26/16 5:48 PM

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Healthcare reform is very real. Only primary care practices who prepare now will be ready for big changes in reimbursement and quality metrics. According to Dr. Danyal Ibrahim, the Chief Data Analytics officer at Saint Francis Care in Connecticut, identifying gaps and bringing data together is crucial to overcoming isolated silos in healthcare and to delivering the kind of outcomes that meet and exceed performance metrics.

Providers who don’t harness data for the new era of healthcare “have at least a vague, nagging feeling that they should probably start developing the data-driven competencies.” In a recent HealthITAnalytics article, Dr. Ibrahim described identifying and overcoming data silos as the biggest hurdle of creating a streamlined data analytics infrastructure. “[T]here are so many times when our data ends up siloed, and pieces of information end up going to all different places that cannot communicate with one another...So one big component goes to the finance department, and other to IT, and another to the quality improvement team.

Forbes magazine weighs in on poor data sharing as “a medical tragedy of underappreciated dimension. Valuable, even vital information often remains uncaptured, unanalyzed, and, especially, unshared.”

Overcoming health data silos is proven to lead to cost savings. A McKinsey Global report estimated that the efficient use of data in healthcare could create more than $300 billion in value every year and quintuple hospital profits.

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Topics: Referral Management, Healthcare Data, Referral Management Analytics

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