He is presented with 336 days of elective operation program data that give how many surgeries booked on specific dates before the real amount as well as the surgery day performed. Variation in daily operating room volumes is a significant issue because of the non-compatibility in timing between when the staff routine are made and when the final demand is known (generally the day before).
This uncertainty creates staffing challenges for ancillary services and all support, including orderlies, nurses, anesthesiologists, the recovery room, pathology, radiology as well as the handcart center that is aseptic. Can he develop a strategy to boost surgical case volume prediction that is actionable in a managerially useful time period? How can he employ and approach stakeholders who might generally consider "analytics," "data analysis" and "computations" as a black hole?
Vanderbilt University Medical Center Elective Surgery Schedule Case Study Solution
This is just an excerpt. This case is about LEADERSHIP & MANAGING PEOPLE
PUBLICATION DATE: May 26, 2015 PRODUCT 2015 PRODUCT #: W15166-PDF-ENG
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