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Jvion Releases Insights on Applying Big Data to Healthcare
Date:8/24/2014

Atlanta, GA (PRWEB) August 24, 2014

Recognized for financial waste predictive technologies, Jvion has furthered its reach and gained traction in applying Big Data within healthcare to address clinical waste and improve patient-level health outcomes. The launch of the firm’s first financial use case in 2011 gained significant market share with more than 2100 hospitals and clinics using the solution. Last fall, following the release of Jvion’s full clinical Big Data predictive analytics solution RevEgis, the firm has seen major traction within the healthcare industry and specifically within the provider community.

As a result of their success, Jvion released insights into how to make Big Data work for healthcare providers. During a recent interview with Ritesh Sharma, Jvion’s COO, the firm shared their five biggest “lessons from the field,” which focus on eliminating barriers while delivering more accurate and actionable predictive insights.

1. Implementation has to be fast and non-intrusive: hospitals are already overstretched. Between mandates, compliance activities, and day-to-day operations, providers do not have the resources available to support the implementation of an enterprise data warehouse (EDW) or infrastructure intensive solution.

2. The outputs must be accurate: if the outputs of the predictive solution are not accurate, they won’t be trusted or adopted. One of the big factors playing into accuracy is coverage. Simply put, higher coverage results in lower accuracy and lower coverage results in higher accuracy. Big Data solutions designed for use in the provider setting have to account for the converse relationship between coverage and accuracy to deliver results that are meaningful and applicable across the provider environment. Moreover, the solution should be more than just hardware and software. An effective predictive analytic solution for healthcare should start producing results “out-o
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