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Healthcare Analytics: Matching Scarce Resources: Data Envelopment and Comparing Productivity and Performance of Units
- 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 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
Overview of the webinar
One of the special aspects of many health care organizations/units is that the use of profit as the main metric of success is inappropriate. This raises essential questions about how the performance of such entities can be assessed. The core idea is that a set of inputs and outputs can be identified that are common across a set of units that we wish to compare and/or manage. 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. One of the useful byproducts of this approach is that it also provides improvement targets for the lower performing units.
Who should attend?
Nursing Managers, Chief Nursing Officers, Directors and VP of quality and operations improvements of healthcare organizations interested in learning practical methods of data analytics for the comparative performance analysis.
Why should you attend?
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 use by a layman.
One should attend this webinar because it is focused on examples from the real hospital practice, not using the complicated formulas and mathematics of linear optimization theory. All presented examples are aided by the provided Excel spreadsheet with solver Add-in by the instructor with real hospital experience.
Faculty - Mr.Alexander Kolker
Alexander Kolker holds a Ph.D. in applied mathematics and statistics. He is an expert in advanced data analytics for operations management, computer simulation modelling and staffing optimization with the main focus on healthcare applications. Alexander is the lead editor and author of 2 books, 8 book chapters, 10 journal papers, and a speaker at 18 international conferences & webinars in the area of operations management and data analytics.
As an adjunct faculty at the UW-Milwaukee Lubar School of Business, he developed and taught a graduate course Business 755-Healthcare Delivery Systems-Data Analytics.
He worked 12 years for GE (General Electric) Healthcare as a Data Scientist and CT Detector design engineer, 3 years for Froedtert Hospital, the largest healthcare facility in Southern state of Wisconsin, and 5 years for Children’s Hospital of Wisconsin as a lead computer simulation and system improvement consultant.
Currently he is teaching a 12-sessions online course “Healthcare Operations Research and Management Science” for the UK, National Health System (NHS)-Midland & Lancashire.
Alexander has also completed four business consulting projects using simulation modelling for the optimal staffing and capacity analysis for: Boston Consulting Group, Children’s Hospital of Wisconsin, Ohio Hospital Association, and US Bank Corporation.