LIVE WEBINAR
October 21, 2026, 1:30 PM - 2:00 PM EST
Accurate forecasting of patient volumes is critical to help hospitals and healthcare providers effective manage schedules and optimize allocation of resources.
This solution leverages the best in IBM Planning Analytics. It provides real time insight into patient volumes and offers advanced methods to forecast volumes using internal and external factors and model patient outcomes using a number of variables.
In this session we will demonstrate how this model facilitates the following:
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Real time insight into patient volume on an hourly basis by location, department, region etc
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Automatic aggregation of results for reporting and analysis
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Statistical modeling of patient volumes using internal (historical) data as well as external factors such as patient encounters at the MSA / market level, CDC Flu Index, Weather and others
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Flexible modeling of patient outcomes using key variables such as ALOS (Average Length of Stay), CMI (Case Mix Index) and other
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Scenario planning and what-if analysis using different assumptions and variables
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Direct integration and input into scheduling and resource allocation
Please register for the session using the form on the right.
