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Maximizing Operational Efficiency Using an In-House Ambulatory Surgery Model at an Academic Medical Center
Samantha Tayne1, Christian A Merrill, Rajeev C Saxena
1Department of Orthopaedic Surgery, University of Illinois at Chicago College of Medicine Department of Orthopaedic Surgery, University of Connecticut School of Medicine, Farmington Department of Otolaryngology, University of Washington, Seattle Department of Pediatrics, Massachusetts General Hospital, Boston Department of Otolaryngology, University of Texas Medical Branch, Galveston chief of anesthesiology service, Hunter Holmes McGuire VA Medical Center, Richmond, Virginia Brandeis University, Heller School for Social Policy and Management, Waltham, Massachusetts, and Tufts University School of Medicine, Boston, Massachusetts.
Executive Summary:
Given the rising costs of healthcare delivery and reimbursement constraints, large academic medical centers (AMCs) must improve efficiency while delivering high-quality care. With standardized cases and high volumes, ambulatory surgery is a high-value target for efficiency improvement. Mining a data set of more than 7,500 cases consisting of the three highest-volume ambulatory procedures in orthopedics, otolaryngology-head and neck surgery, and urology, we analyzed process times and wait times involved in patient flow. We examined differences among delayed versus early versus on-time cases, as well as differences in scheduled start times, day of the week, and each individual operating room. Our analysis found statistically and clinically significant differences in registration and setup wait times when comparing delayed versus early versus on-time cases. We then developed recommendations to increase value-added time. Using activity-based cost accounting, we created a model to quantify economic impact. Hospitals can adopt these methods to identify operational bottlenecks and employ our financial model to forecast changes in revenue. Application of this model can position AMCs for success in an increasingly competitive landscape.
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