Improving operating room productivity via parallel anesthesia processing.

PURPOSE Parallel processing of regional anesthesia may improve operating room (OR) efficiency in patients undergoes upper extremity surgical procedures. The purpose of this paper is to evaluate whether performing regional anesthesia outside the OR in parallel increases total cases per day, improve efficiency and productivity. DESIGN/METHODOLOGY/APPROACH Data from all adult patients who underwent regional anesthesia as their primary anesthetic for upper extremity surgery over a one-year period were used to develop a simulation model. The model evaluated pure operating modes of regional anesthesia performed within and outside the OR in a parallel manner. The scenarios were used to evaluate how many surgeries could be completed in a standard work day (555 minutes) and assuming a standard three cases per day, what was the predicted end-of-day time overtime. FINDINGS Modeling results show that parallel processing of regional anesthesia increases the average cases per day for all surgeons included in the study. The average increase was 0.42 surgeries per day. Where it was assumed that three cases per day would be performed by all surgeons, the days going to overtime was reduced by 43 percent with parallel block. The overtime with parallel anesthesia was also projected to be 40 minutes less per day per surgeon. RESEARCH LIMITATIONS/IMPLICATIONS Key limitations include the assumption that all cases used regional anesthesia in the comparisons. Many days may have both regional and general anesthesia. Also, as a case study, single-center research may limit generalizability. PRACTICAL IMPLICATIONS Perioperative care providers should consider parallel administration of regional anesthesia where there is a desire to increase daily upper extremity surgical case capacity. Where there are sufficient resources to do parallel anesthesia processing, efficiency and productivity can be significantly improved. ORIGINALITY/VALUE Simulation modeling can be an effective tool to show practice change effects at a system-wide level.

[1]  Robin Moore,et al.  Use of lean and six sigma methodology to improve operating room efficiency in a high-volume tertiary-care academic medical center. , 2011, Journal of the American College of Surgeons.

[2]  Hari Balasubramanian,et al.  A Discrete Event Simulation Model to Evaluate Operational Performance of a Colonoscopy Suite , 2010, Medical decision making : an international journal of the Society for Medical Decision Making.

[3]  W. Watkins,et al.  The Operating Rooms: Cost Center Management in a Managed Care Environment , 1995, International anesthesiology clinics.

[4]  R. Finlayson,et al.  A Prospective, Randomized Comparison Between Double-, Triple-, and Quadruple-Injection Ultrasound-Guided Axillary Brachial Plexus Block , 2011, Regional Anesthesia & Pain Medicine.

[5]  Yuchiao Chang,et al.  Increasing Operating Room Efficiency Through Parallel Processing , 2006, Annals of surgery.

[6]  Averill M. Law,et al.  Simulation Modeling & Analysis , 1991 .

[7]  F. Dexter,et al.  Scheduling Surgical Cases into Overflow Block Time— Computer Simulation of the Effects of Scheduling Strategies on Operating Room Labor Costs , 2000, Anesthesia and analgesia.

[8]  Danny Segev,et al.  Modeling the impact of changing patient transportation systems on peri-operative process performance in a large hospital: insights from a computer simulation study , 2012, Health care management science.

[9]  Thomas R Rohleder,et al.  Using simulation modeling to improve patient flow at an outpatient orthopedic clinic , 2011, Health care management science.

[10]  K. Armstrong,et al.  Brachial plexus anesthesia compared to general anesthesia when a block room is available , 2004, Canadian journal of anaesthesia = Journal canadien d'anesthesie.

[11]  P. Torkki,et al.  Use of Anesthesia Induction Rooms Can Increase the Number of Urgent Orthopedic Cases Completed within 7 Hours , 2005, Anesthesiology.

[12]  Marie T. Egan,et al.  Reorganizing patient care and workflow in the operating room: a cost-effectiveness study. , 2006, Surgery.

[13]  S. Schwarz,et al.  A “swing room” model based on regional anesthesia reduces turnover time and increases case throughput , 2011, Canadian journal of anaesthesia = Journal canadien d'anesthesie.

[14]  L. Muñoz,et al.  A Prospective, Randomized Comparison Between Single- and Double-Injection Ultrasound-Guided Infraclavicular Brachial Plexus Block , 2009, Regional Anesthesia & Pain Medicine.

[15]  Berthold Bein,et al.  Overlapping Induction of Anesthesia: An Analysis of Benefits and Costs , 2005, Anesthesiology.

[16]  T. Perneger A research agenda for patient safety. , 2006, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[17]  Yan Xiao,et al.  Making Management Decisions on the Day of Surgery Based on Operating Room Efficiency and Patient Waiting Times , 2004, Anesthesiology.

[18]  J E Clague,et al.  Improving outpatient clinic efficiency using computer simulation. , 1997, International journal of health care quality assurance incorporating Leadership in health services.

[19]  Sheldon Howard Jacobson,et al.  Application of discrete-event simulation in health care clinics: A survey , 1999, J. Oper. Res. Soc..

[20]  J D Mabrey,et al.  A comparison of operative times in arthroscopic ACL reconstruction between orthopaedic faculty and residents: the financial impact of orthopaedic surgical training in the operating room. , 2001, The Iowa orthopaedic journal.

[21]  S. Schwarz,et al.  A regional anesthesia-based “swing” operating room model reduces non-operative time in a mixed orthopedic inpatient/outpatient population , 2012, Canadian Journal of Anesthesia/Journal canadien d'anesthésie.

[22]  Marie T. Egan,et al.  Deliberate Perioperative Systems Design Improves Operating Room Throughput , 2005, Anesthesiology.