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How predictive analytics directly improves productivity

Future Intelligence Now - Stay Ahead Of Variation

High accuracy predictive analytics to enable precision demand staffing and resource allocation to reduce cost while increasing quality & service

Targeted Resource Allocation
Match Staffing To Demand
Increase Quality While Decreasing Cost

Any and all mismatch between the demand of patients and available capacity of resources will cause a  backlog to form. 

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Unless the demand reduces significantly a hospital's staff and resources will be behind the required rate of flow to normalize the turnaround time. 

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Simply put, any single point of mismatch between demand and capacity will have a lasting impact on the operation, staff and patients. 

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Hospitals have dealt with this problem by staffing to the higher demand in key departments such as the ED because achieving a high accuracy with manual tools and historical data has not been possible. 

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Sach Analytics algorithms are able to achieve high accuracy in department specific demand by hour through use of hundreds of data points dynamically learning every min. 

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Avg 90% accuracy achieved  
in predicting hourly volume into the emergency department 72 hours prior during the COVID -19 pandemic for a large hospital in an urban setting
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