Complete Case details are given below :
Case Name : Vanderbilt University Medical Center: Elective Surgery Schedule
Authors : Lauren E. Cipriano, Vikram Tiwari, Warren S. Sandberg, Gregory S. Zaric
Source : Ivey Publishing
Case ID : W15166
Discipline : General Management
Case Length : 05 pages
Solution Sample availability : YES
Plagiarism : NO (100% Original work)
Description for case is given below :
The newly appointed director of Surgical Business Analytics has been charged with the task of improving predictions of surgical case volume at Vanderbilt University Medical Center in Nashville, Tennessee. He is provided with 48 weeks of elective surgery schedule data that give the number of surgeries booked on specific dates prior to the surgery day and the actual number performed. Variation in daily operating room volumes is a major problem because of the mismatch in timing between when the staff schedules are made and when the final demand is known (usually the day before). This uncertainty creates staffing challenges for all support and ancillary services, including nurses, orderlies, anesthesiologists, the recovery room, pathology, radiology and the sterile cart centre. Can he develop a method to improve surgical case volume prediction that is actionable in a managerially useful time frame? How can he engage and approach stakeholders who may often consider “analytics,” “data analysis” and “computations” as a black hole?
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