On the public citation graph
Validity and usefulness of a method to monitor surgical services’ average bias in scheduled case durations
0 signed · 59 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s0001-2092(06)60801-6openalex-snapshot
Optimizing Second Shift OR Staffing
inferredcites →https://doi.org/10.1016/s0952-8180(99)00110-5openalex-snapshot
Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late
inferredcites →https://doi.org/10.1097/00000539-200006000-00015openalex-snapshot
What Is the Relative Frequency of Uncommon Ambulatory Surgery Procedures Performed in the United States with an Anesthesia Provider?
inferredcites →https://doi.org/10.1097/00000539-200203000-00029openalex-snapshot
Statistical Power Analysis to Estimate How Many Months of Data Are Required to Identify Operating Room Staffing Solutions to Reduce Labor Costs and Increase Productivity
inferredcites →https://doi.org/10.1097/00000539-200204000-00030openalex-snapshot
How to Schedule Elective Surgical Cases into Specific Operating Rooms to Maximize the Efficiency of Use of Operating Room Time
inferredcites →https://doi.org/10.1097/00000539-200302000-00038openalex-snapshot
How to Release Allocated Operating Room Time to Increase Efficiency: Predicting Which Surgical Service Will Have the Most Underutilized Operating Room Time
inferredcites →https://doi.org/10.1097/00000542-199612000-00003openalex-snapshot
Statistical Modeling to Predict Elective Surgery Time
inferredcites →https://doi.org/10.1097/00000542-199904000-00034openalex-snapshot
Surgical Subspecialty Block Utilization and Capacity Planning
inferredcites →https://doi.org/10.1097/00000542-199911000-00044openalex-snapshot
Forecasting Surgical Groups’ Total Hours of Elective Cases for Allocation of Block Time
inferredcites →https://doi.org/10.1097/00000542-200205000-00028openalex-snapshot
What Sample Sizes are Required for Pooling Surgical Case Durations among Facilities to Decrease the Incidence of Procedures with Little Historical Data?
inferredcites →https://doi.org/10.1097/00000542-200412000-00027openalex-snapshot
Making Management Decisions on the Day of Surgery Based on Operating Room Efficiency and Patient Waiting Times
inferredcites →https://doi.org/10.1177/095148489000300201openalex-snapshot
Comparison of Subjective versus Data Base Approaches for Improving Efficiency of Operating Room Scheduling
inferredcites →https://doi.org/10.1213/01.ane.0000082520.68800.79openalex-snapshot
Use of Operating Room Information System Data to Predict the Impact of Reducing Turnover Times on Staffing Costs
inferredcites →https://doi.org/10.1213/01.ane.0000100739.03919.26openalex-snapshot
When to Release Allocated Operating Room Time to Increase Operating Room Efficiency
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00464-016-4976-9openalex-snapshot
The use of patient factors to improve the prediction of operative duration using laparoscopic cholecystectomy
inferred← citeshttps://doi.org/10.1007/s00464-018-6030-6openalex-snapshot
The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy
inferred← citeshttps://doi.org/10.1007/s10729-014-9307-xopenalex-snapshot
Staff planning for operating rooms with different surgical services lines
inferred← citeshttps://doi.org/10.1007/s10729-026-09790-6openalex-snapshot
A distribution-aware optimization model for improving operating room utilization and out-patient flow
inferred← citeshttps://doi.org/10.1007/s10916-025-02141-yopenalex-snapshot
Development of Predictive Model of Surgical Case Durations Using Machine Learning Approach
inferred← citeshttps://doi.org/10.1007/s11701-020-01121-3openalex-snapshot
Establishing a successful robotic surgery program and improving operating room efficiency: literature review and our experience report
inferred← citeshttps://doi.org/10.1016/j.bja.2021.12.039openalex-snapshot
Continuous real-time prediction of surgical case duration using a modular artificial neural network
inferred← citeshttps://doi.org/10.1016/j.bja.2022.02.002openalex-snapshot
Case duration prediction and estimating time remaining in ongoing cases
inferred← citeshttps://doi.org/10.1016/j.ejor.2019.06.036openalex-snapshot
Controlling risk and demand ambiguity in newsvendor models
inferred← citeshttps://doi.org/10.1016/j.jclinane.2006.10.009openalex-snapshot
Identification of systematic underestimation (bias) of case durations during case scheduling would not markedly reduce overutilized operating room time
inferred← citeshttps://doi.org/10.1016/j.jclinane.2018.09.027openalex-snapshot
Tardiness of starts of surgical cases is not substantively greater when the preceding surgeon in an operating room is of a different versus the same specialty
inferred← citeshttps://doi.org/10.1016/j.jss.2010.05.053openalex-snapshot
Minimally Invasive Surgery Improves Short-term Outcomes in Elderly Colorectal Cancer Patients
inferred← citeshttps://doi.org/10.1016/j.pcorm.2018.11.001openalex-snapshot
Influence of parameter uncertainty on the tardiness of the start of a surgical case following a preceding surgical case performed by a different surgeon
inferred← citeshttps://doi.org/10.1016/j.pcorm.2022.100280openalex-snapshot
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
inferred← citeshttps://doi.org/10.1016/j.pcorm.2022.100286openalex-snapshot
More accurate, unbiased predictions of operating room times increase labor productivity with the same staff scheduling provided allocated hours are increased
inferred← citeshttps://doi.org/10.1016/j.pcorm.2024.100379openalex-snapshot
Fundamentals of operating room allocation and case scheduling to minimize the inefficiency of use of the time
inferred← citeshttps://doi.org/10.1016/j.pcorm.2024.100432openalex-snapshot
Surgical control time estimation variability: Implications for medical systems and the future integration of AI and ML models
inferred← citeshttps://doi.org/10.1017/9781009467414.011openalex-snapshot
Influence of Operating Room Staffing and Scheduling on Operating Room Productivity
inferred← citeshttps://doi.org/10.1017/cbo9781139084277.007openalex-snapshot
Economic considerations, efficiency, and design
inferred← citeshttps://doi.org/10.1017/cbo9781139084277.008openalex-snapshot
Influence of staffing and scheduling on operating room productivity
inferred← citeshttps://doi.org/10.1080/00949655.2015.1004065openalex-snapshot
Markov Chain Monte Carlo methods for estimating surgery duration
inferred← citeshttps://doi.org/10.1097/00000542-200512000-00023openalex-snapshot
Bayesian Prediction Bounds and Comparisons of Operating Room Times Even for Procedures with Few or No Historic Data
inferred← citeshttps://doi.org/10.1097/00000542-200608000-00004openalex-snapshot
Are Your Hospital Operating Rooms “Efficient”?
inferred← citeshttps://doi.org/10.1097/as9.0000000000000652openalex-snapshot
Development and Evaluation of an Operative Case Length Prediction Model in Adult Surgical Patients
inferred← citeshttps://doi.org/10.1097/eja.0b013e3283656ba4openalex-snapshot
Using type IV Pearson distribution to calculate the probabilities of underrun and overrun of lists of multiple cases
inferred← citeshttps://doi.org/10.1108/ijlss-02-2014-0005openalex-snapshot
Operating room adjusted utilization study
inferred← citeshttps://doi.org/10.1111/itor.13101openalex-snapshot
The effect of few historical data on the performance of sample average approximation method for operating room scheduling
inferred← citeshttps://doi.org/10.1213/01.ane.0000202397.90361.1bopenalex-snapshot
Predicting Anesthesia Times for Diagnostic and Interventional Radiological Procedures
inferred← citeshttps://doi.org/10.1213/01.ane.0000244535.54710.28openalex-snapshot
The Impact of Service-Specific Staffing, Case Scheduling, Turnovers, and First-Case Starts on Anesthesia Group and Operating Room Productivity: A Tutorial Using Data from an Australian Hospital
inferred← citeshttps://doi.org/10.1213/01.ane.0000249509.87456.38openalex-snapshot
Case Scheduling for Dummies
inferred← citeshttps://doi.org/10.1213/01.ane.0000287686.23187.3fopenalex-snapshot
Coordination of Appointments for Anesthesia Care Outside of Operating Rooms Using an Enterprise-Wide Scheduling System
inferred← citeshttps://doi.org/10.1213/ane.0000000000006931openalex-snapshot
Lack of Validity of Absolute Percentage Errors in Estimated Operating Room Case Durations as a Measure of Operating Room Performance: A Focused Narrative Review
inferred← citeshttps://doi.org/10.1213/ane.0b013e318164f0d5openalex-snapshot
Systematic Review of General Thoracic Surgery Articles to Identify Predictors of Operating Room Case Durations
inferred← citeshttps://doi.org/10.1213/ane.0b013e31819a6dd4openalex-snapshot
Both Bias and Lack of Knowledge Influence Organizational Focus on First Case of the Day Starts
inferred← citeshttps://doi.org/10.1213/ane.0b013e31819f9f0copenalex-snapshot
Influence of the Operating Room Schedule on Tardiness from Scheduled Start Times
inferred← citeshttps://doi.org/10.1213/ane.0b013e31819f9fd2openalex-snapshot
Reducing Tardiness from Scheduled Start Times by Making Adjustments to the Operating Room Schedule
inferred← citeshttps://doi.org/10.1213/ane.0b013e3181ce6bbcopenalex-snapshot
Optimizing the Arrival, Waiting, and NPO Times of Children on the Day of Pediatric Endoscopy Procedures
inferred← citeshttps://doi.org/10.1213/ane.0b013e318229d450openalex-snapshot
Importance of Appropriately Modeling Procedure and Duration in Logistic Regression Studies of Perioperative Morbidity and Mortality
inferred← citeshttps://doi.org/10.1213/ane.0b013e3182575e05openalex-snapshot
Lack of Value of Scheduling Processes to Move Cases from a Heavily Used Main Campus to Other Facilities Within a Health Care System
inferred← citeshttps://doi.org/10.1213/ane.0b013e31826a5f9eopenalex-snapshot
Descriptive Study of Case Scheduling and Cancellations Within 1 Week of the Day of Surgery
inferred← citeshttps://doi.org/10.1213/ane.0b013e31828b3813openalex-snapshot
Estimating Surgical Case Durations and Making Comparisons Among Facilities
inferred← citeshttps://doi.org/10.1287/mnsc.1070.0756openalex-snapshot
Structural Estimation of the Newsvendor Model: An Application to Reserving Operating Room Time
inferred← citeshttps://doi.org/10.2196/82329openalex-snapshot
Predicting Pediatric Urological Surgery Duration Through Multimodal Patient-Physician Feature Fusion: Deep Learning Framework Incorporating Clinical Text Embedding
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.