Data envelopment analysis (DEA) is a technique that was developed to measure the multiple dimensions of performance (efficiency) of producing units.
While one could find a rich literature on various aspects data envelopment analysis (DEA), it is typically presented as an academic mathematical development in the area of linear optimization which is difficult to apply in practice.
One should attend this webinar because it is focused on examples from the real hospital practice rather than using the complicated mathematics of linear optimization theory.
All presented examples are illustrated by the provided Excel spreadsheet using the Excel solver Add-in. The examples are taken from the real hospital projects rather than presenting just academic exercises
The performance assessment of many health care units based on the profit alone as the main metric is usually inappropriate. This raises essential questions about how the performance of such units can be more appropriately assessed. The core idea is that a set of inputs and outputs can be identified that are common across a set of units that should be compared and managed. The values of the inputs and outputs are used to create a scoring function for each unit relative to other similar units. Linear programming is then employed to find out the values of the parameters that maximize or minimize the scoring function. Such an approach is called Data Envelopment Analysis (DEA). One of the useful byproducts of this approach is that it also allows to estimate the improvement targets for the lower performing units.
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