top of page
healthcare-medical-concept-medicine-doct

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. 

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

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

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. 

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. 

 

 

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
bottom of page