We used electronic medical record (EMR) analysis to determine errors in operating room (OR) time utilisation. Over a two year period EMR data of 44,503 surgical procedures was analysed for OR duration, on-time, first case, and add-on time performance, within 19 surgical specialties. Maximal OR time utilisation at our institution could have saved over 302,620 min or 5,044 hours of OR efficiency over a two year period. Most specialties (78.95%) had inaccurately scheduled procedure times and therefore used the OR more than their scheduled allotment time. Significant differences occurred between the mean scheduled surgical durations (101.38 ± 87.11 min) and actual durations (108.18 ± 102.27 min; P<0.001). Significant differences also occurred between the mean scheduled add-on durations (111.4 ± 75.5 min) and the actual add-on scheduled durations (118.6 ± 90.1 minutes; P<0.001). EMR quality improvement analysis can be used to determine scheduling error and bias, in order to improve efficiency and increase OR time utilisation.
BatunS., DentonB.T., HuschkaT.R., SchaeferA.J.2011Operating room pooling and parallel surgery processing under uncertainty INFORMSJournal on Computing23(2) 220–37
CimaR.R., BrownM.J., HeblJ.R.2011Use of lean and six sigma methodology to improve operating room efficiency in a high-volume tertiary-care academic medical center. Surgical Process Improvement Team, Mayo Clinic, RochesterJournal of the American College of Surgeons21383–92
4.
DexterF., MacarioA., QianF., TraubR.D.1999a Forecasting surgical groups’ total hours of elective cases for allocation of block time: application of time series analysis to operating room managementAnesthesiology911501–08
5.
DexterF., TraubR.D., QianF.1999b Comparison of statistical methods to predict the time to complete a series of surgical casesJournal of Clinical Monitoring and Computing1545–51
6.
DexterF., MacarioA., TraubR.D.1999c An operating room scheduling strategy to maximize the use of operating room block time: computer simulation of patient scheduling and survey of patients’ preferences for surgical waiting timeAnesthesia & Analgesia897–20
7.
DexterF.2000A strategy to decide whether to move the last case of the day in an operating room to another empty operating room to decrease overtime labor costsAnesthesia & Analgesia91925–58
8.
DexterF., TraubR.2002How to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room timeAnesthesia & Analgesia94933–42
9.
DexterF., MacarioA.2004When to release allocated operating room time to increase operating room efficiencyAnesthesia & Analgesia98758–62
10.
DexterF., LedolterJ.2005Bayesian prediction bounds and comparisons of operating room times even for procedures with few or no historical dataAnesthesiology1031259–67
McIntoshC., DexterF., EpsteinR.H.2006The impact of service-specific staffing, case scheduling, turnovers and first-case starts on anesthesia group and operating room productivity: tutorial using data from an Australian hospitalAnesthesia & Analgesia1031499–516
PanditJ.J., TavareA.2011Using mean duration and variation of procedure times to plan a list of surgical operations to fit into the scheduled list timeEuropean Journal of Anaesthesiology28493–501
17.
SeimA., AndersenB., SandbergW.S.2006Statistical process control as a tool for monitoring nonoperative timeAnesthesiology105370–80
18.
SicilianiL., HurstJ.2005Tackling excessive waiting times for elective surgery: a comparative analysis of policies in 12 OECD countriesHealth Policy72201–15
19.
StrumD., VargasL.G., MayJ.H.1999Surgical subspecialty block utilisation and capacity planning: a minimal cost analysis modelAnesthesiology901176–85
20.
SzokolJ.W., DeshurM.A.2014Implementing an Anesthesia Information Management System (AIMS)ASA Monitor7822–24
