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Optimized Data Reduces Healthcare Costs: Case Study

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With healthcare costs rising, physicians, hospitals, and insurance companies scramble to look for ways to reduce their costs. One of the most difficult tasks is analyzing and understanding reams of data from disparate sources. MedeAnalytics simplifies this process— and saves space and energy in its data center—by using Intel® Xeon® processors to aggregate large volumes of data and provide it in an accurate, easy-to-analyze format. Healthcare providers can easily drill into the data to understand how they can improve clinical, financial, and operational outcomes.

Challenges
• Improve performance. Older systems did not provide the performance MedeAnalytics needed for its business analytics platform.
• Increase stability. Reliable, stable systems are essential to the daily data crunching MedeAnalytics does for its customers.
• Reduce electrical costs. The cost for data center electricity was a major issue.

Solution
• Standardize on a platform that delivers higher performance. MedeAnalytics migrated from older IBM servers to new IBM BladeCenter* blade servers outfitted with the high-end Intel Xeon processor 5600 series to accelerate server consolidation and substantially improve their platform’s reliability, stability, and performance.

Read the full Optimized Data Reduces Healthcare Costs Case Study.