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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 47, 2015 - Issue 4
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Articles

The Monitoring and Improvement of Surgical-Outcome Quality

William H. WoodallVirginia Tech, Blacksburg, Virginia24061-0439, USAView further author information
,
Sandy L. FogelVirginia Tech Carilion School of Medicine, Roanoke, Virginia24014, USAView further author information
, MD &
Stefan H. SteinerUniversity of Waterloo, Waterloo, Ontario, CanadaN2L 3G1View further author information
Pages 383-399 | Published online: 21 Nov 2017

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Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall & Sven Knoth. (2023) A review and critique of auxiliary information-based process monitoring methods. Quality Technology & Quantitative Management 20:1, pages 1-20.
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S. Bersimis & A. Sachlas. (2022) Surveilling public health through statistical process monitoring: A literature review and a unified framework. Communications in Statistics: Case Studies, Data Analysis and Applications 8:3, pages 515-543.
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Kai Yang & Peihua Qiu. (2021) Adaptive Process Monitoring Using Covariate Information. Technometrics 63:3, pages 313-328.
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Fatemeh Sogandi, Majid Aminnayeri, Adel Mohammadpour & Amirhossein Amiri. (2021) Phase I risk-adjusted Bernoulli chart in multistage healthcare processes based on the state-space model. Journal of Statistical Computation and Simulation 91:3, pages 522-542.
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Amir Baghdadi, Lora A. Cavuoto, Allison Jones-Farmer, Steven E. Rigdon, Ehsan T. Esfahani & Fadel M. Megahed. (2021) Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters. Journal of Quality Technology 53:1, pages 47-71.
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Inez M. Zwetsloot & William H. Woodall. (2021) A Review of Some Sampling and Aggregation Strategies for Basic Statistical Process Monitoring. Journal of Quality Technology 53:1, pages 1-16.
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Fadel M. Megahed. (2019) Discussion on “Real-time monitoring of events applied to syndromic surveillance”. Quality Engineering 31:1, pages 97-104.
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Sandy Lewis Fogel. (2019) Doctors are not pilots and patients are not airplanes: Quality improvement in medicine. Quality Engineering 31:1, pages 3-11.
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Ramezan Khosravi, Mohammad Saleh Owlia, Mohammad Saber Fallahnezhad & Amirhossein Amiri. (2018) Phase I risk-adjusted control charts for surgical data with ordinal outcomes. Communications in Statistics - Theory and Methods 47:18, pages 4422-4432.
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Ebrahim Mazrae Farahani, Reza Baradaran Kazemzadeh, Rassoul Noorossana & Ghazaleh Rahimian. (2017) A statistical approach to social network monitoring. Communications in Statistics - Theory and Methods 46:22, pages 11272-11288.
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Matthew J. Keefe, Christopher T. Franck & William H. Woodall. (2017) Monitoring foreclosure rates with a spatially risk-adjusted Bernoulli CUSUM chart for concurrent observations. Journal of Applied Statistics 44:2, pages 325-341.
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William H. Woodall. (2017) Bridging the gap between theory and practice in basic statistical process monitoring. Quality Engineering 29:1, pages 2-15.
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Xin Lai, Xiao Li, Liu Liu, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu & Paul B. S. Lai. (2023) A risk‐adjusted exponentially weighted moving average control chart for detection of the scale parameter in surgical quality monitoring. Quality and Reliability Engineering International 40:2, pages 1042-1060.
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Ruoyu Liu, Xin Lai, Jiayin Wang, Paul B.S. Lai & Ka Chun Chong. (2023) A Control Chart Method for Simultaneously Monitoring the Average Level and Stability of Surgical Quality. A Control Chart Method for Simultaneously Monitoring the Average Level and Stability of Surgical Quality.
Longhui Li, Yanli Liu, Yanfen Shang & Zixian Liu. (2023) A new phase Ⅱ risk-adjusted CUSUM chart for monitoring surgical performance. Computers & Industrial Engineering 186, pages 109738.
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Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova, Mahdiyeh Erfanian, Mahmoud Reza Azarpazhooh & Negar Morovatdar. (2023) A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders. Artificial Intelligence in Medicine 146, pages 102689.
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Ruoyu Liu, Xin Lai, Jiayin Wang, Xiaoyan Zhu & Yuqian Liu. (2023) SCR-CUSUM: An illness-death semi-Markov model-based risk-adjusted CUSUM for semi-competing risk data monitoring. Computers & Industrial Engineering 184, pages 109530.
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Roxana Ramos-Carpinteyro, Ethan L. Ferguson, Jaya S. Chavali, Albert Geskin, Nicolas Soputro & Jihad Kaouk. (2023) Single-port Transvesical Robot-assisted Radical Prostatectomy: The Surgical Learning Curve of the First 100 Cases. Urology 178, pages 76-82.
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Ali Yeganeh, Alireza Shadman, Sandile Charles Shongwe & Saddam Akber Abbasi. (2023) Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance. Neural Computing and Applications 35:14, pages 10677-10693.
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My-Anh Le Thien, Quentin Cordier, Jean-Christophe Lifante, Matthew J. CartyAntoine Duclos. (2023) Control Charts Usage for Monitoring Performance in Surgery: A Systematic Review. Journal of Patient Safety 19:2, pages 110-116.
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Peter van Schie, Leti van Bodegom-Vos, Tristan M Zijdeman, Rob G H H Nelissen & Perla J Marang-van de Mheen. (2023) Effectiveness of a multifaceted quality improvement intervention to improve patient outcomes after total hip and knee arthroplasty: a registry nested cluster randomised controlled trial. BMJ Quality & Safety 32:1, pages 34-46.
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Mazen Arafah. (2022) Using the Laney p’ Control Chart for Monitoring COVID-19 Cases in Jordan. Journal of Healthcare Engineering 2022, pages 1-18.
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Sharon E. Davis, Jeremiah R. Brown, Chad Dorn, Dax Westerman, Richard J. SolomonMichael E. Matheny. (2022) Maintaining a National Acute Kidney Injury Risk Prediction Model to Support Local Quality Benchmarking. Circulation: Cardiovascular Quality and Outcomes 15:8.
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Mohammad Rasouli, Rassoul Noorossana & Yaser Samimi. (2022) Monitoring multistage multivariate therapeutic processes using risk‐adjusted model‐based group multivariate EWMA control chart. Quality and Reliability Engineering International 38:5, pages 2445-2474.
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Philipp Wittenberg. (2022) Modeling the patient mix for risk-adjusted CUSUM charts. Statistical Methods in Medical Research 31:5, pages 779-800.
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Xin Lai, Xiao Li, Liu Liu, Fugee Tsung, Paul B.S. Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu & Jiaqi Liu. (2021) A risk-adjusted approach to monitoring surgery for survival outcomes based on a weighted score test. Computers & Industrial Engineering 160, pages 107568.
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Sina Kazemi, Rassoul Noorossana, Mohammad Rasouli, Mohamad R. Nayebpour & Kamran Heidari. (2021) Monitoring therapeutic processes using risk‐adjusted multivariate Tukey's CUSUM control chart. Quality and Reliability Engineering International 37:6, pages 2818-2833.
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Ruoyu Liu, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Paul B. S. Lai & Ci-ren Guo. (2021) A non-linear ensemble model-based surgical risk calculator for mixed data from multiple surgical fields. BMC Medical Informatics and Decision Making 21:S2.
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Ning Ding, Zhen He, Liangxing Shi & Liang Qu. (2020) A new risk‐adjusted EWMA control chart based on survival time for monitoring surgical outcome quality. Quality and Reliability Engineering International 37:4, pages 1650-1663.
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William H. Woodall, George Rakovich & Stefan H. Steiner. (2020) An overview and critique of the use of cumulative sum methods with surgical learning curve data. Statistics in Medicine 40:6, pages 1400-1413.
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Fah F. Gan, Wei L. Koh & Janice J. Ang. 2021. Frontiers in Statistical Quality Control 13. Frontiers in Statistical Quality Control 13 229 245 .
Peter van Schie, Leti van Bodegom-Vos, Liza N. van Steenbergen, Rob G.H.H. Nelissen & Perla J. Marang-van de Mheen. (2020) Monitoring Hospital Performance with Statistical Process Control After Total Hip and Knee Arthroplasty. Journal of Bone and Joint Surgery 102:23, pages 2087-2094.
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Lena Hubig, Nicholas Lack & Ulrich Mansmann. (2020) Statistical process monitoring to improve quality assurance of inpatient care. BMC Health Services Research 20:1.
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Antoine Duclos, François Chollet, Léa Pascal, Hector Ormando, Matthew J Carty, Stéphanie Polazzi & Jean-Christophe Lifante. (2020) Effect of monitoring surgical outcomes using control charts to reduce major adverse events in patients: cluster randomised trial. BMJ, pages m3840.
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Hailiang Wang, Yang Zhao, Lisha Yu, Jiaxing Liu, Inez Maria Zwetsloot, Javier Cabrera & Kwok-Leung Tsui. (2020) A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study. Journal of Medical Internet Research 22:9, pages e19223.
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Lawrence Lee, Justin Kelly, George J. Nassif, Teresa C. deBeche-Adams, Matthew R. Albert & John R. T. Monson. (2018) Defining the learning curve for transanal total mesorectal excision for rectal adenocarcinoma. Surgical Endoscopy 34:4, pages 1534-1542.
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Jiaqi Liu, Xin Lai, Jiayin Wang, Paul B.S. Lai, Xuanping Zhang & Xiaoyan Zhu. (2020) A Fast Online Monitoring Approach for Surgical Risks. Mathematical Biosciences and Engineering 17:4, pages 3130-3146.
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Alfian Tan, Marihot Nainggolan & Cherish Rikardo. (2019) A Literature Review on Control Chart Development in Healthcare Monitoring. A Literature Review on Control Chart Development in Healthcare Monitoring.
Sven Knoth, Philipp Wittenberg & Fah Fatt Gan. (2019) Risk‐adjusted CUSUM charts under model error. Statistics in Medicine 38:12, pages 2206-2218.
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Fatemeh Sogandi, Majid Aminnayeri, Adel Mohammadpour & Amirhossein Amiri. (2019) Risk-adjusted Bernoulli chart in multi-stage healthcare processes based on state-space model with a latent risk variable and dynamic probability control limits. Computers & Industrial Engineering 130, pages 699-713.
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Philipp Wittenberg, Fah Fatt Gan & Sven Knoth. (2018) A simple signaling rule for variable life‐adjusted display derived from an equivalent risk‐adjusted CUSUM chart. Statistics in Medicine 37:16, pages 2455-2473.
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Gaurav Suman & DeoRaj Prajapati. (2018) Control chart applications in healthcare: a literature review. International Journal of Metrology and Quality Engineering 9, pages 5.
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Xu Tang & Fah Fatt Gan. 2018. Frontiers in Statistical Quality Control 12. Frontiers in Statistical Quality Control 12 113 131 .
Sandy L. Fogel, Christopher R. Reed & Christopher C. Baker. (2017) An Evaluation of Risk Stratification in General Surgery Patients. The American Surgeon 83:11, pages 450-451.
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Jenny Neuburger, Kate Walker, Chris Sherlaw-Johnson, Jan van der Meulen & David A Cromwell. (2017) Comparison of control charts for monitoring clinical performance using binary data. BMJ Quality & Safety 26:11, pages 919-928.
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Xiang ZhangJustin B. Loda & William H. Woodall. (2017) Dynamic probability control limits for risk‐adjusted CUSUM charts based on multiresponses. Statistics in Medicine 36:16, pages 2547-2558.
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Robert M. Steward & Steven E. Rigdon. (2016) Risk‐adjusted Monitoring of Healthcare Quality: Model Selection and Change‐point Estimation. Quality and Reliability Engineering International 33:5, pages 979-992.
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Matthew J. Keefe, Justin B. Loda, Ahmad E. Elhabashy & William H. Woodall. (2017) Improved implementation of the risk-adjusted Bernoulli CUSUM chart to monitor surgical outcome quality. International Journal for Quality in Health Care 29:3, pages 343-348.
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Xiang Zhang & William H. Woodall. (2016) Dynamic Probability Control Limits for Lower and Two‐Sided Risk‐Adjusted Bernoulli CUSUM Charts. Quality and Reliability Engineering International 33:3, pages 607-616.
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Xiang Zhang & William H. Woodall. (2017) Reduction of the Effect of Estimation Error on In-control Performance for Risk-adjusted Bernoulli CUSUM Chart with Dynamic Probability Control Limits. Quality and Reliability Engineering International 33:2, pages 381-386.
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Stefan H. Steiner & William H. Woodall. (2016) Debate: what is the best method to monitor surgical performance?. BMC Surgery 16:1.
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Xiang ZhangWilliam H. Woodall. (2015) Dynamic probability control limits for risk-adjusted Bernoulli CUSUM charts. Statistics in Medicine 34:25, pages 3336-3348.
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Steven E. Rigdon & Ronald D. FrickerJr.Jr.. 2015. Innovative Statistical Methods for Public Health Data. Innovative Statistical Methods for Public Health Data 203 249 .
William H. Woodall & Anne R. Driscoll. 2015. Frontiers in Statistical Quality Control 11. Frontiers in Statistical Quality Control 11 15 27 .

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