2025
Park JB, Roh GH, Kim K, Kim HS. Development of predictive model of surgical case durations using machine learning approach. Journal of Medical Systems 49:8, 2025
Ramamurthi A, Neupane B, Deshpande P, Hanson R, Brown KR, Christians KK, Evans DB, Kothari AN. Development and validation of an artificial intelligence system for surgical case length prediction. Surgery 179:108942, 2025
2024
Azriel D, Rinott Y, Tal O, Abbou B, Rappoport N. Surgery duration prediction using multi-task feature selection. IEEE Journal of Biomedical and Health Informatics 28:4216-4223, 2024
Caserta M, Romero AG. A novel approach to forecast surgery durations using machine learning techniques. Health Care Management Science 27:313-327, 2024
Dexter F, Epstein RH. Lack of validity of absolute percentage errors in estimated operating room case durations as a measure of operating room performance: a focused narrative review. Anesthesia & Analgesia 139:555-561, 2024
Elsaqa M, El Tayeb MM, Yano S, Papaconstantinou HT. Operative time accuracy in the era of electronic health records: addressing the elephant in the room. Journal of Healthcare Management 69:132-139, 2024
Hara K, Tachibana R, Kaneko S, Yamaguchi M, Fujioka M, Kuroki T, Honda S, Sawai T. Development of an estimation formula for preparation time of anesthesia induction and surgery accounting for clinical department factors in optimal surgery schedule management. Scientific Reports 14:25185, 2024
Jiao Y, Kannampallil T. Implementation and prospective performance evaluation of an intraoperative duration prediction model using high throughput real-time data. BJA Open 10:100285, 2024
Korzhenevich G, Zander A. Leveraging the potential of the German operating room benchmarking initiative for planning: a ready-to-use surgical process data set. Health Care Management Science 27:328-351, 2024
Meyers A, Daysalilar M, Dagal A, Wang M, Kutlu O, Akcin M. Quantifying the impact of surgical teams on each stage of the operating room process. Frontiers in Digital Health 6:1455477, 2024
Stucky CH, Kabo FW, De Jong MJ, House SL, Moser CH, Kimbler DE. Surgical control time estimation variability: implications for medical systems and the future integration of AI and ML models. Perioperative Care and Operating Room Management 37:100432, 2024
2023
Adams T, O'Sullivan M, Walker C. Surgical procedure prediction using medical ontological information. Computer Methods and Programs in Biomedicine 235:107541, 2023
Buchholz O, Haager C, Schimmelpfeng K, Brunner J, Schoenfelder J. Analyzing the relationship between physicians' experience and surgery duration. Operations Research for Health Care 36:100377, 2023
Coban E, Kayis E, Dexter F.
The effect of few historical data on the performance of sample average approximation method for operating room scheduling.
International Transactions in Operational Research 30:126-150, 2023
Davis M, Aftab O, Chen T, Cadwell JB, Ali D, Rudnick B, Ahmed M, Abdolla F, Weiss R, Billah MS. Operative time variability: understanding and navigating a risk affecting surgeon and hospital efficiency. Perioperative Care and Operating Room Management 33:100341, 2023
Dexter F, Ledolter J, Titler SS, Epstein RH.
Variability of the times remaining in surgical cases and the importance of knowing when closure has started.
Perioperative Care and Operating Room Management 30:100299, 2023
Kendale S, Bishara A, Burns M, Solomon S, Corriere M, Mathis M. Machine learning for the prediction of procedural case durations developed using a large multicenter database: algorithm development and validation study. JMIR AI 2:e44909, 2023
Riahi V, Hassanzadeh H, Khanna S, Boyle J, Syed F, Biki B, Borkwood E, Sweeney L. Improving preoperative prediction of surgery duration. BMC Health Services Research 23:1343, 2023
Rosenbloom JM, Deng H, Mueller AL, Alegria M, Houle TT, Collaborators from the Multicenter Perioperative Outcomes Group. Race/ethnicity and duration of anesthesia for pediatric patients in the US: a retrospective cohort study. Journal of Racial and Ethnic Health Disparities 10:1329-1338, 2023
Spence C, Shah OA, Cebula A, Tucker K, Sochart D, Kader D, Asopa V. Machine learning models to predict surgical case duration compared to current industry standards: scoping review. BJS Open 7:zrad113, 2023
Zaribafzadeh H, Webster WL, Vail CJ, Daigle T, Kirk AD, Allen PJ, Henao R, Buckland DM. Development, deployment, and implementation of a machine learning surgical case length prediction model and prospective evaluation. Annals of Surgery 278:890-895, 2023
2022
Abbou B, Tal O, Frenkel G, Rubin R, Rappoport N. Optimizing operation room utilization—a prediction model. Big Data and Cognitive Computing 6:76, 2022
Azar M, Carrasco RA, Mondschein S. Dealing with uncertain surgery times in operating room scheduling. European Journal of Operational Research 299:377-394, 2022
Babayoff O, Shehory O, Shahoha M, Sasportas R, Weiss-Meilik A. Surgery duration: Optimized prediction and causality analysis. PLoS ONE 17:e0273831, 2022
Chu JS, Hsieh CH, Shih YN, Wu CC, Singaravelan A, Hung LP, Hsu JL. Operating room usage time estimation with machine learning models. Healthcare 10:1518, 2022
Crespin DJ, Ruder T, Mulcahy AW, Mehrotra A. Variation in estimated surgical procedure times across patient characteristics and surgeon specialty. JAMA Surgery 57:e220099, 2022
Dean A, Meisami A, Lam H, Van Oyen MP, Stromblad C, Kastango N. Quantile regression forest for individualized surgery scheduling. Health Care Management Science 25:682-709, 2022
Dexter F, Birchansky B, Epstein RH, Loftus RW.
Average and longest expected treatment times for ultraviolet light disinfection of rooms.
American Journal of Infection Control 50:61-66, 2022
Epstein RH, Dexter F, Maga JM, Marian AA.
Evaluation of the start of surgical closure as a milestone for forecasting the time remaining to exit the operating room: A retrospective, observational cohort study.
Perioperative Care and Operating Room Management 29:100280, 2022
Gañan-Cardenas E, Jiménez JC, Pemberthy-R JI. Bayesian hierarchical modeling of operating room times for surgeries with few or no historic data. Journal of Clinical Monitoring and Computing 36:687-702, 2022
Huang L, Chen X, Liu W, Shih PC, Bao J. Automatic surgery and anesthesia emergence duration prediction using artificial neural networks. Journal of Healthcare Engineering 2022:2921775, 2022
Ito M, Hoshino K, Takashima R, Suzuki M, Hashimoto M, Fujii H. Does case-mix classification affect predictions? A machine learning algorithm for surgical duration estimation. Healthcare Analytics 2:100119, 2022
Jiao Y, Xue B, Lu C, Avidan MS, Kannampallil T. Continuous real-time prediction of surgical case duration using a modular artificial neural network. British Journal of Anaesthesia 128:829-837, 2022
Kantarevic J, Chami N, Vinden C, Nadolski J, Adamson M, Li Y, Weir S, Wright JG, McClure A, Hill S. COVID-19 and the duration of operating room procedures in Ontario: a population-based retrospective study. Canadian Journal of Surgery 65:E675-E682, 2022
Lam SSW, Zaribafzadeh H, Ang BY, Webster W, Buckland D, Mantyh C, Tan HK. Estimation of surgery durations using machine learning methods-a cross-country multi-site collaborative study. Healthcare 10:1191, 2022
Lee SH, Dai T, Phan PH, Moran N, Stonemetz J. The association between timing of elective surgery scheduling and operating theater utilization: a cross-sectional retrospective study. Anesthesia and Analgesia 134:455-462, 2022
Simmons CG, Alvey NJ, Kaizer AM, Williamson K, Faruki AA, Kacmar RM, Jevtovic-Todorovic V, Weitzel NS. Benchmarking of anesthesia and surgical control times by Current Procedural Terminology (CPT®) codes. Journal of Medical Systems 46:19, 2022
Wang Z, Dexter F.
More accurate, unbiased predictions of operating room times increase labor productivity with the same staff scheduling provided allocated hours are increased.
Perioperative Care and Operating Room Management 29:100286, 2022
2021
Martinez O, Martinez C, Parra CA, Rugeles S, Suarez DR. Machine learning for surgical time prediction. Computer Methods and Programs in Biomedicine 208:106220, 2021
Reeves JJ, Waterman RS, Spurr KR, Gabriel RA. Efficiency metrics at an academic freestanding ambulatory surgery center: analysis of the impact on scheduled end-times. Anesthesia and Analgesia 133:1406-1414, 2021
Strömblad CT, Baxter-King RG, Meisami A, Yee SJ, Levine MR, Ostrovsky A, Stein D, Iasonos A, Weiser MR, Garcia-Aguilar J, Abu-Rustum NR, Wilson RS. Effect of a predictive model on planned surgical duration accuracy, patient wait time, and use of presurgical resources: a randomized clinical trial. JAMA Surgery 156:315-321, 2021
Titler S, Dexter F, Epstein RH.
Percentages of cases in operating rooms of sufficient duration to accommodate a 30-minute breast milk pumping session by anesthesia residents or nurse anesthetists.
Cureus 13:e12519, 2021
Yuniartha DR, Masruroh NA, Herliansyah MK. An evaluation of a simple model for predicting surgery duration using a set of surgical procedure parameters. Informatics in Medicine Unlocked 25:100633, 2021
2020
Bellini V, Guzzon M, Bigliardi B, Mordonini M, Filippelli S, Bignami E. Artificial intelligence: a new tool in operating room management. Role of machine learning models in operating room optimization. Journal of Medical Systems 44:20, 2020
Hasiuk MMM, Pang DSJ. Predicting the duration of surgery and procedures in a veterinary referral center. Veterinary Surgery 49:561-569, 2020
Jiao Y, Sharma A, Ben Abdallah A, Maddox TM, Kannampallil T. Probabilistic forecasting of surgical case duration using machine learning: model development and validation. Journal of the American Medical Informatics Association 27:1885-1893, 2020
Merchant RN. Slated versus actual operating room entry time in a British Columbia health authority. Canadian Journal of Anesthesia 67:726-731, 2020
Pandit JJ. Rational planning of operating lists: a prospective comparison of 'booking to the mean' vs. 'probabilistic case scheduling' in urology. Anaesthesia 75:642-647, 2020
Parker SH, Lei X, Fitzgibbons S, Metzger T, Safford S, Kaplan S. The impact of surgical team familiarity on length of procedure and length of stay: inconsistent relationships across procedures, team members, and sites. World Journal of Surgery 44:3658-3667, 2020
Powezka K, Normahani P, Standfield NJ, Jaffer U. A novel team Familiarity Score for operating teams is a predictor of length of a procedure - a retrospective Bayesian analysis. Journal of Vascular Surgery 71:959-966, 2020
Rozario N, Rozario D. Can machine learning optimize the efficiency of the operating room in the era of COVID-19? Canadian Journal of Surgery 63:E527-E529, 2020
Shore H. An explanatory bi-variate model for surgery-duration and its empirical validation. Communications in Statistics: Case Studies, Data Analysis and Applications 6:142-166, 2020
Soh KW, Walker C, O’Sullivan M, Wallace J. An evaluation of the hybrid model for predicting surgery duration. Journal of Medical Systems 44:42, 2020
Soh KW, Walker C, O'Sullivan M, Wallace J, Grayson D. Case study of the prediction of elective surgery durations in a New Zealand teaching hospital. International Journal of Health Planning Management 35:1593-1605, 2020
Soh KW, Walker C, O'Sullivan M, Wallace J. Comparison of jackknife and hybrid-boost model averaging to predict surgery durations: a case study. SN Computer Science 1:316, 2020
Taaffe K, Pearce B, Ritchie G. Using kernel density estimation to model surgical procedure duration. International Transactions in Operational Research 28:401-418, 2020
Wang J, Cabrera J, Tsui KL, Guo H, Bakker M, Kostis JB. Clinical and nonclinical effects on operative duration: evidence from a database on thoracic surgery. Journal of Healthcare Engineering 2020:3582796, 2020
2019
Bartek MA, Saxena CR, Solomon S, Fong CT, Behara LD, Venigandla R, Velagapudi K, Lang JD, Nair BG. Improving operating room efficiency: a machine learning approach to predict case-time duration. Journal of the American College of Surgeons 229:346-354.e3, 2019
Kougias P, Tiwari V, Sharath SE, Garcia A, Pathak A, Chen M, Ramsey D, Barshes N, Berger D. A statistical model-driven surgical case scheduling system improves multiple measures of operative suite efficiency: findings from a single-center, randomized controlled trial. Annals of Surgery 270:1000-1004, 2019
Tuwatananurak JP, Zadeh S, Xu X, Vacanti JA, Fulton WR, Ehrenfeld JM, Urman RD. Machine learning can improve estimation of surgical case duration: a pilot study. Journal of Medical Systems 43:44, 2019
Zhao B, Waterman RS, Urman RD, Gabriel RA. A machine learning approach to predicting case duration for robot-assisted surgery. Journal of Medical Systems 43:32, 2019
2018
Dexter F, Bayman EO, Pattillo JCS, Schwenk ES, Epstein RH.
Influence of parameter uncertainty on the tardiness of the start of a surgical case following a preceding surgical case performed by a different surgeon.
Perioperative Care and Operating Room Management 13:12-17, 2018
Glance LG, Dutton RP, Feng C, Li Y, Lustik SJ, Dick AW. Variability in case durations for common surgical procedures. Anesthesia & Analgesia 126:2017-2024, 2018
Liu H, Zhang T, Luo S, Xu D. Operating room scheduling and surgeon assignment problem under surgery durations uncertainty. Technology and Health Care 26:297-304, 2018
Pike TW, Mushtaq F, Mann RP, Chambers P, Hall G, Tomlinson JE, Mir R, Wilkie RM, Mon-Williams M, Lodge JPA. Operating list composition and surgical performance. British Journal of Surgery 105:1061-1069, 2018
Venkataramana S, Fredendall LD, Taaffe KM, Huynh N, Ritchie G. An empirical examination of surgeon experience, surgeon rating, and costs in perioperative services. Journal of Operations Management 61:68-81, 2018
Zeng Z, Xie X, Menaker H, Sanford-Ring SG, Li J. Performance evaluation of operating room schedules in orthopedic surgery. Flexible Services and Manufacturing 30:198-223, 2018
2017
Burgette LF, Mulcahy AW, Mehrotra A, Ruder T, Wynn BO. Estimating surgical procedure times using anesthesia billing data and operating room records. Health Services Research 52:74-92, 2017
Costa Jr AS. Assessment of operative times of multiple surgical specialties in a public university hospital. Einstein (São Paulo) 15:200-205, 2017
Edelman ER, van Kuijk SMJ, Hamaekers AEW, de Korte MJM, van Merode GG, Buhre WFFA. Improving the prediction of total surgical procedure time using linear regression modeling. Frontiers in Medicine 4:85, 2017
Forestier G, Petitjean F, Riffaud L, Jannin P. Automatic matching of surgeries to predict surgeons' next actions. Artificial Intelligence in Medicine 81:3-11, 2017
Fügener A, Schiffels S, Kolisch R. Overutilization and underutilization of operating rooms - insights from behavioral health care operations management. Health Care Management Science 20:115-128, 2017
Master N, Zhou Z, Miller D, Scheinker D, Bambos N, Glynn P. Improving predictions of pediatric surgical durations with supervised learning. International Journal of Data Science and Analytics 4:35-52, 2017
Shahabikargar Z, Khanna S, Sattar A, Lind J. Improved prediction of procedure duration for elective surgery. Studies in Health Technology and Informatics 239:133-138, 2017
Tiwari V, Queenan C, St. Jacques P. Impact of waiting and provider behavior on surgical outpatients' perception of care. Perioperative Care and Operating Room Management 7:7-11, 2017
2016
Attaallah AF, Elzamzamy OM, Phelps AL, Ranganthan P, Vallejo MC. Increasing operating room efficiency through electronic medical record analysis. Journal of Perioperative Practice 26:106-113, 2016
Dergachyova O, Bouget D, Huaulmé A, Morandi X, Jannin P. Automatic data-driven real-time segmentation and recognition of surgical workflow. International Journal of Computer Assisted Radiology and Surgery 11:1081-1089, 2016
Kougias P, Tiwari V, Berger DH. Use of simulation to assess a statistically driven surgical scheduling system. Journal of Surgical Research 201:306-312, 2016
Luangkesorn KL, Eren-Dogu ZF. Markov Chain Monte Carlo methods for estimating surgery duration. Journal of Statistical Computation and Simulation 86:262-278, 2016
Pariser JJ, Diamond AJ, Christianson LW, Mitchell BA, Langerman A. Operating room inefficiencies attributable to errors in surgical case scheduling and surgeon procedure heterogeneity. American Journal of Medical Quality 31:584-588, 2016
van Eijk RP, van Veen-Berkx E, Kazemier G, Eijkemans MJ. Effect of individual surgeons and anesthesiologists on operating room time. Anesthesia & Analgesia 132:445-451, 2016
Vinden C, Malthaner R, McGee J, McClure JA, Winick-Ng J, Liu K, Nash DM, Welk B, Dubois L. Teaching surgery takes time: the impact of surgical education on time in the operating room. Canadian Journal of Surgery 59:87-92, 2016
Wu A, Brovman EY, Whang EE, Ehrenfeld JM, Urman RD. The impact of overestimations of surgical control times across multiple specialties on medical systems. Journal of Medical Systems 40:95, 2016
2015
Bravo F, Levi R, Ferrari LR, McManus ML. The nature and sources of variability in pediatric surgical case duration. Paediatric Anaesthesia 25:999-1006, 2015
Clark DE, El-Taha M. Some useful properties of log-logistic random variables for health care simulations. International Journal of Statistics in Medical Research 4:79-86, 2015
Kayis E, Khaniyev TT, Suermondt J, Sylvester K. A robust estimation model for surgery durations with temporal, operational, and surgery team effects. Health Care Management Science 18:222-233, 2015
Wu HL, Chang WK, Hu KH, Langford RM, Tsou MY, Chang KY. A quantile regression approach to estimating the distribution of anesthetic procedure time during induction. PLoS One 10:e0134838, 2015
Xiao Y, Jones A, Zhang BB, Bennett M, Mears SC, Mabrey JD, Kennerly D. Team consistency and occurrences of prolonged operative time, prolonged hospital stay, and hospital readmission: a retrospective analysis. World Journal of Surgery 39:890-896, 2015
2014
Hagopian TM, Vitiello GA, Hart AM, Perez SD, Pettitt BJ, Sweeney JF. Do medical students in the operating room affect patient care? An analysis of one institution's experience over the past five years. Journal of Surgical Education 71:817-824, 2014
He W, Ni S, Chen G, Jiang X, Zheng B. The composition of surgical teams in the operating room and its impact on surgical team performance in China. Surgical Endoscopy 28:1473-1478, 2014
van Veen-Berkx E, Bitter J, Elkhuizen SG, Buhre WF, Kalkman CJ, Gooszen HG, Kazemier G. The influence of anesthesia-controlled time on operating room scheduling in Dutch university medical centres. Canadian Journal of Anesthesia 61:524-532, 2014
Wang J, Yang K. Using type IV Pearson distribution to calculate the probabilities of underrun and overrun of lists of multiple cases. European Journal of Anaesthesiology 31:363-370, 2014
2013
Dexter F, Epstein RH, Bayman EO, Ledolter J.
Estimating surgical case durations and making comparisons among facilities: identifying facilities with lower anesthesia professional fees.
Anesthesia & Analgesia 116:1103-1115, 2013
Dexter F, Ledolter J, Tiwari V, Epstein RH.
Value of a scheduled duration quantified in terms of equivalent numbers of historical cases.
Anesthesia & Analgesia 117:204-209, 2013
Franke S, Meixensberger J, Neumuth T. Intervention time prediction from surgical low-level tasks. Journal of Biomedical Informatics 46:152-159, 2013
Joustra P, Meester R, van Ophem H. Can statisticians beat surgeons at the planning of operations? Empirical Economics 44:1697-1718, 2013
Larsson A. The accuracy of surgery time estimations. Production Planning and Control 24:891-902, 2013
Tiwari V, Dexter F, Rothman BS, Ehrenfeld JM, Epstein RH.
Explanation for the near constant mean time remaining in surgical cases exceeding their estimated duration, necessary for appropriate display on electronic white boards.
Anesthesia & Analgesia 117:487-493, 2013
Xu R, Carty MJ, Orgill DP, Lipsitz SR, Duclos A. The teaming curve: a longitudinal study of the influence of surgical team familiarity on operative time. Annals of Surgery 258:953-957, 2013
2012
Devi SP, Rao KS, Sangeetha SS. Prediction of surgery times and scheduling of operation theaters in ophthalmology department. Journal of Medical Systems 36:415-430, 2012
Gillespie BM, Chaboyer W, Fairweather N. Factors that influence the expected length of operation: results of a prospective study. BMJ Quality & Safety 21:3-12, 2012
Padoy N, Blum T, Ahmadi SA, Feussner H, Berger MO, Navab N. Statistical modeling and recognition of surgical workflow. Medical Image Analysis 16:632-641, 2012
Zheng B, Panton ON, Al-Tayeb TA. Operative length independently affected by surgical team size: data from 2 Canadian hospitals. Canadian Journal of Surgery 55:371-376, 2012
2011
Dexter F, Dexter EU, Ledolter J.
Importance of appropriately modeling procedure and duration in logistic regression studies of perioperative morbidity and mortality.
Anesthesia & Analgesia 113:1197-1201, 2011
Pandit JJ, Tavare A. Using mean duration and variation of procedure times to plan a list of surgical operations to fit into the scheduled list time. European Journal of Anaesthesiology 28:493-501, 2011
Silber JH, Rosenbaum PR, Even-Shoshan O, Mi L, Kyle FA, Teng Y, Bratzler DW, Fleisher LA. Estimating anesthesia time using the Medicare claim: a validation study. Anesthesiology 115:322-333, 2011
2010
Alvarez R, Bowry R, Carter M. Prediction of the time to complete a series of surgical cases to avoid cardiac operating room overutilization. Canadian Journal of Anesthesia 57:973-979, 2010
Chen TT, Chang YJ, Ku SL, Chung KP. Statistical process control as a tool for controlling operating room performance: retrospective analysis and benchmarking. Journal of Evaluation in Clinical Practice 10:905-910, 2010
Dexter EU, Dexter F, Masursky D, Kasprowicz KA.
Prospective trial of thoracic and spine surgeons’ updating of their estimated case durations at the start of cases.
Anesthesia & Analgesia 110:1164-1168, 2010
Dexter F, Dexter EU, Ledolter J.
Influence of procedure classification on process variability and parameter uncertainty of surgical case durations.
Anesthesia & Analgesia 110:1155-1163, 2010
Eijkemans MJC, van Houdenhoven M, Nguyen T, Boersma E, Steyerberg EW, Kazemier G. Predicting the unpredictable: A new prediction model for operating room times using individual characteristics and the surgeon's estimate. Anesthesiology 112:41-49, 2010
Li Y, Zhang S, Baugh RF, Huang JZ. Predicting surgical case durations using ill-conditioned CPT code matrix. IIE Transactions 42:121-135, 2010
Smallman B, Dexter F.
Optimizing the arrival, waiting, and NPO times of children on the day of pediatric endoscopy procedures.
Anesthesia & Analgesia 110:879-887, 2010
Stepaniak PS, Heij C, de Vries G. Modeling and prediction of surgical procedure times. Statistica Neerlandica 64:1-18, 2010
2009
Cassera MA, Zheng B, Martinec DV, Dunst CM, Swanstrom LL. Surgical time independently affected by surgical team size. American Journal of Surgery 198:216-222, 2009
Dexter F, Epstein RH, Lee JD, Ledolter J.
Automatic updating of times remaining in surgical cases using Bayesian analysis of historical case duration data and "instant messaging" updates from anesthesia providers.
Anesthesia & Analgesia 108:929-940, 2009
Stepaniak PS, Heij C, Mannaerts GH, de Quelerij M, de Vries G. Modeling procedure and surgical times for current procedural terminology-anesthesia-surgeon combinations and evaluation in terms of case-duration prediction and operating room efficiency: a multicenter study. Anesthesia & Analgesia 109:1232-1245, 2009
2008
Combes C, Meskens N, Rivat C, Vandamme JP. Using a KDD process to forecast the duration of surgery. International Journal of Production Economics 112:279-293, 2008
Dexter F, Dexter EU, Masursky D, Nussmeier NA.
Systematic review of general thoracic surgery articles to identify predictors of operating room case durations.
Anesthesia & Analgesia 106:1232-1241, 2008
2007
Dexter F, Macario A, Ledolter J. Identification of systematic underestimation (bias) of case durations during case scheduling would not markedly reduce overutilized operating room time. Journal of Clinical Anesthesia 19:198-203, 2007
Silber JH, Rosenbaum PR, Zhang X, Even-Shoshan O. Estimating anesthesia and surgical procedure times from Medicare anesthesia claims. Anesthesiology 106:346-355, 2007
Wachtel RE, Dexter F.
A simple method for deciding when patients should be ready on the day of surgery without procedure-specific data.
Anesthesia & Analgesia 105:127-140, 2007
2006
Dexter F, Davis M, Halbeis CE, Marjamaa R, Marty J, McIntosh C, Nakata Y, Thenuwara KN, Sawa T, Vigoda M. Mean operating room times differ by 50% among hospitals in different countries for laparoscopic cholecystectomy and lung lobectomy. Journal of Anesthesia 20:319-322, 2006
Dexter F, Yue JC, Dow AJ.
Predicting anesthesia times for diagnostic and interventional radiological procedures.
Anesthesia & Analgesia 102:1491-1500, 2006
Ehrenwerth J, Escobar A, Davis EA, Watrous GA, Fisch GS, Kain ZN, Barash PG. Can the attending anesthesiologist accurately predict the duration of anesthesia induction? Anesthesia & Analgesia 103:938-940, 2006
Escobar A, Davis EA, Ehrenwerth J, Watrous GA, Fisch GS, Kain ZN, Barash PG. Task analysis of the preincision surgical period: an independent observer-based study of 1558 cases. Anesthesia & Analgesia 103:922-927, 2006
Pandit JJ, Carey A. Estimating the duration of common elective operations: implications for operating list management. Anaesthesia 61:768-776, 2006
2005
Dexter F, Ledolter J.
Bayesian prediction bounds and comparisons of operating room times even for procedures with few or no historic data.
Anesthesiology 103:1259-1267, 2005
Dexter F, Macario A, Epstein RH, Ledolter J.
Validity and usefulness of a method to monitor surgical services’ average bias in scheduled case durations.
Canadian Journal of Anesthesia 52:935-939, 2005
2004
Spangler WE, Strum DP, Vargas LG, May JM. Estimating procedure times for surgeries by determining location parameters for the lognormal model. Health Care Management Science 7:97-104, 2004
2003
Broka SM, Jamart J, Louagie YA. Scheduling of elective surgical cases within allocated block-times: can the future be drawn from the experience of the past? Acta Chirurgica Belgica 103:90-94, 2003
Celik J. Decreasing preoperative delays- a rapid process improvement project. AORN Journal 77:737-741, 2003
Lebowitz P. Why can't my procedures start on time? AORN Journal 77:594-597, 2003
Senapati PS, Barry JD, Edwards P, Hodzovic I, Shute K, Lewis WG. Surgical time and motion: the intermediate equivalent revisited. Annals of The Royal College of Surgeons of England 85:40-3, 2003
Strum DP, May JH, Sampson AR, Vargas LG, Spangler WE. Estimating times of surgeries with two component procedures: comparison of the lognormal and normal models. Anesthesiology 98:232-240, 2003
2002
Dexter F, Traub RD, Fleisher LA, Rock P.
What sample sizes are required for pooling surgical case durations among facilities to decrease the incidence of procedures with little historical data?
Anesthesiology 96:1230-1236, 2002
2001
Sorge M. Computerized O.R. scheduling: is it an accurate predictor of surgical time? Canadian Operating Room Nursing Journal 19(4):7-18, 2001
Stausberg J, Lang H, Obertacke U, Rauhut F. Classifications in routine use - Lessons from ICD-9 and ICPM in surgical practice. Journal of the American Medical Informatics Association 8:92-100, 2001
2000
Dexter F, Macario A.
What is the relative frequency of uncommon ambulatory surgery procedures in the United States with an anesthesia provider?
Anesthesia & Analgesia 90:1343-1347, 2000
Dexter F, Traub RD.
Statistical method for predicting when patients should be ready on the day of surgery.
Anesthesiology 93:1107-1114, 2000
May JH, Strum DP, Vargas LG. Fitting the lognormal distribution to surgical procedure times. Decision Sciences 31:129-148, 2000
Strum DP, May JH, Vargas LG. Modeling the uncertainty of surgical procedure times: comparison of the log-normal and normal models. Anesthesiology 92:1160-1167, 2000
Strum DP, Sampson AR, May JH, Vargas LG. Surgeon and type of anesthesia predict variability in surgical procedure times. Anesthesiology 92:1454-1466, 2000
1999
Dexter F, Traub RD, Qian F. Comparison of statistical methods to predict the time to complete a series of surgical cases. Journal of Clinical Monitoring and Computing 15:45-51, 1999
Macario A, Dexter F.
Estimating the duration of a case when the surgeon has not recently performed the procedure at the surgical suite.
Anesthesia & Analgesia 89:1241-1245, 1999
Zhou J, Dexter F, Macario A, Lubarsky DA. Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late. Journal of Clinical Anesthesia 11:601-605, 1999
1998
Zhou J, Dexter F.
Method to assist in the scheduling of add-on surgical cases - upper prediction bounds for surgical case durations based on the log normal distribution.
Anesthesiology 89:1228-1232, 1998
1996
Wright IH, Kooperberg C, Bonar BA, Bashein G. Statistical modeling to predict elective surgery time. Anesthesiology 85:1235-1245, 1996
1991
Opit LJ, Collins REC, Campbell G. Use of operating theatres: the effects of case-mix and training in general surgery. Annals of the Royal College of Surgeons of England. 73:389-393, 1991
1990
Shukla RK, Ketcham JS, Ozcan YA. Comparison of subjective versus data base approaches for improving efficiency of operating room scheduling. Health Services Management Research 3:74-81, 1990
Weiss EN. Models for determining estimated start times and case orderings in hospital operating rooms. IIE Transactions 22:143-150, 1990
1988
Hancock WM, Walter PF, More RA, Glick ND. Operating room scheduling data base analysis for scheduling. Journal of Medical Systems 12:397-409, 1988
1986
Shore H. An approximation for the inverse distribution function of a combination of random variables, with an application to operating theatres. Journal of Statistical Computation and Simulation 23:157-181, 1986
1970
Goldman J, Knappenberger HA, Shearon WT. A study of variability of surgical estimates. Hospital Management 110:46-46D, 1970