Because of the inevitable variability of the patient census (uncertainty), the planned (budgeted) staffing is usually:
(i) either not enough to deliver proper quality of care or
(ii) is excessive, resulting in idle time for some employees and/or pay under contractual obligation for the idle time.
This webinar is providing a methodology called the ‘newsvendor’ framework that helps in planning (budgeting) the staffing level that minimizes the overall cost of under and over staffing
Typically, nursing staffing is based on the past historical average daily patient demand (midnight census), and the average required daily hours of care per patient depending on the acuity level (supply of resources).
However, the variation and the uncertainty of the supply and demand in healthcare settings creates two types of problems:
- Over-staffing over the planned level which hurts operation margins;
- Under-staffing over the planned level, which requires overtime and/or premium pay that also hurts margins and causes lower quality of care.
The latter problem affects patients’ and staff satisfaction.
The objective of this webinar is providing an overview and examples of application of the methodology called the “newsvendor” framework.
This methodology helps to determine the optimal staffing for the specified time periods for hospital units with randomly fluctuating patient census.
The optimal staffing provides the total minimal possible cost of over- and under-staffing.
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