Healthcare Data Analytics: Methods of Matching Scarce Resources with uncertain Patient Demand: Data Envelopment Analysis. Comparing Productivity and Performance of units with Multiple inputs and outputs - Webinar (Recorded)

Overview:

Data envelopment analysis (DEA) is a technique that is used to measure the multiple dimensions of performance (efficiency) of producing units. DEA allows the use of multiple inputs and outputs to develop a single efficiency score to measure the comparative efficiency (performance) of hospitals, physicians, and group practices.

The procedure of comparing the units’ efficiency can be formulated as a linear optimization problem. Analyzing the efficiency of units is then a set of linear optimization problems. Managers can use DEA to compare a group of service units to identify relatively inefficient ones, measure the magnitude of the inefficiencies, and, by comparing the inefficient with the efficient ones, suggest ways to reduce those inefficiencies.

Why you should Attend:

While one could find rich literature on various aspects of data envelopment analysis (DEA), it is typically presented as an academic mathematical development in the area of linear optimization which is difficult to use by a layman.

One should attend this webinar because it is focused on examples from real hospital practice, not the complicated formulas and mathematics of linear optimization theory. All presented examples are aided by the provided Excel spreadsheet with Add-in by the instructor with real hospital experience. His experience, in particular with queuing modeling, was presented in his widely cited book with more than 10,000 sales worldwide: Kolker, A., `Healthcare Management Engineering: What does this fancy word really mean?` SpringerBriefs, NY, 2012.

This book was used as the main text for the training course by the National Health System, the UK, as well as by the Lubar School of Business at the University of Wisconsin-Milwaukee for the graduate course on Healthcare delivery systems and data analytics.

Areas Covered in the Session:

• Data Envelopment Analysis: What is it? What is it for?
• A concept of the efficiency frontier and a scoring function
• DEA as a linear optimization problem
• Examples of DEA using Excel Add-in Solver with an explanation of the spreadsheet set up
• 6 hospitals: 2 Inputs and 2 Outputs
• 12 medical labs: 2 Inputs and 3 Outputs
• A network of 8 hospitals: 5 Inputs and 3 Outputs (based on the actual project within Froedtert Health Hospital System)
• Strength and limitations of DEA
• DEA software