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WILLIAM WOODALL - Virginia Tech

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Monitoring and Improving Surgical Outcome Quality
When
20 November 2014 from 4:00 PM to 5:00 PM
Where
Minitab Campus
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Some statistical issues related to the monitoring of surgical quality will be reviewed in this presentation. The important role of risk-adjustment in healthcare, used to account for variations in the condition of patients, will be described. Some of the methods for monitoring surgical outcomes over time will be outlined and illustrated with examples. A new on-line method for designing the most frequently recommended method, the risk-adjusted Bernoulli cumulative sum chart, will be explained. The National Surgical Quality Improvement Program (NSQIP) will be described, along with a case study demonstrating significant improvements in surgical infection rates and mortality.

William H. Woodall, Professor of Statistics at Virginia Tech, is a former editor of the Journal of Quality Technology (2001–2003) and associate editor of Technometrics (1987–1995; 2013). He has published well over 120 papers, most on aspects of process monitoring. He is the recipient of the ASQ Shewhart Medal (2002), ENBIS Box Medal (2012), Jack Youden Prize (1995, 2003), ASQ Brumbaugh Award (2000, 2006), Ellis Ott Foundation Award (1987), Soren Bisgaard Award (2012), and a best paper award from IIE Transactions on Quality and Reliability Engineering (1997). He is a Fellow of the American Statistical Association, a Fellow of the American Society for Quality, and an elected member of the International Statistical Institute.

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