Intel and Cloudera Help a Large Hospital Group Allocate Resources by Predicting Patient Length-of-Stay

ID 657645
Updated 3/14/2016
Version Latest



Reducing patient length-of-stay allows a large Hospital Group to save $15 million in service operational
costs while increasing facility utilization by 5% annually. Predictive analytics with Cloudera distribution of Hadoop (CDH) is helping hospital administrators accurately predict discharge dates. By taking advantage of more unconventional data sources, administrators reduce the variance in patient occupancy and thereby reduce facility costs due to lengthy patient stays.

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