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UID:88946-1665154800-1665160200@www.sixsigmaclub.de
SUMMARY:Statistical process control - rethought for improvements in healthcare
DESCRIPTION:Online lecture. \nWe have been able to win over the Danish doctor Jacob Anhøj for this online seminar. He has been involved in statistical process control for over 20 years and can show us many new perspectives. He says\, for example:   \n“We can’t control a person’s health in the same way as we can control the diameter of a screw or the concentration of a chemical solution. We have to take this into account when controlling the process.”  \nWe therefore look forward to new impulses and a stimulating discussion and attach the “Abstract” written by Mr. Anhøj\, which we consider worth reading. We also recommend the references listed below.  \nNote:\nThis presentation will be held in English.\nQuestions can also be asked in German. \n+++ This presentation was originally scheduled for September 16. Due to technical problems\, we have postponed it to October 7.  ++++ \n  \nRethinking statistical process control for healthcare improvement \nStatistical process control (SPC) was originally developed as a tool to monitor and control the quality of goods produced in the manufacturing industry. Today SPC has found its way into service industries including healthcare. While the thinking behind SPC is the same regardless of the domain\, the practical application of SPC varies somewhat.\n\nFirst\, healthcare is all about people\, which which we\, contrary to what we like to believe\, have very little control over. We cannot simply adjust the health of a person in the same way that we can adjust the diameter of a bolt or the concentration of a chemical solution. For this reason\, SPC in healthcare is more about processes (what we do) than about outcomes (what happens). Also\, because of the huge knowing-doing gap\, SPC in healthcare is much more about improving processes that controlling them.\n\nSecond\, healthcare workers and managers are generally not trained in SPC\, and very few know how to construct and interpret a Shewhart control chart. Perhaps for this reason run charts have become popular. A run chart is a time series chart without control limits and with the median as the centre line. It is easy to construct using only pen and paper. Runs analysis comprise test for non-random variation in the distribution of data points around the median and makes no assumptions regarding the underlying theoretical distribution of data.\n\nRun charts are generally considered less useful than control charts. \nIn reality\, runs analysis\, applied sensibly\, is better at detecting minor persistent shifts in data over time than the traditional Shewhart control chart.\n\nThis talk will introduce the concept of runs analysis and its application and suggest a way to reconcile run and control charts to get the best of both worlds.\n\n\n\nReferences\n\nJacob Anhøj\, Anne Vingaard Olesen (2014). Run Charts Revisited: A Simulation Study of Run Chart Rules for Detection of Non-Random Variation in Health Care Processes (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113825)\n\nJacob Anhøj (2015). Diagnostic Value of Run Chart Analysis: Using Likelihood Ratios to Compare Run Chart Rules on Simulated Data Series (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0121349)\n\nJacob Anhøj\, Anne-Marie Blok Hellesøe (2017). The problem with red\, amber\, green: the need to avoid distraction by random variation in organisational performance measures (https://qualitysafety.bmj.com/content/26/1/81)\n\nJacob Anhøj\, Tore Wentzel-Larsen (2018). Sense and sensibility: on the diagnostic value of control chart rules for detection of shifts in time series data (https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-018-0564-0)\n\nJacob Anhøj\, Tore Wentzel-Larsen (2020). Smooth operator: Modifying the Anhøj rules to improve runs analysis in statistical process control (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0233920)\n\nJacob Anhøj (2022). Quality Improvement Charts - An implementation of statistical process control charts for R (https://anhoej.github.io/qicharts2/articles/qicharts2.html)
URL:https://www.sixsigmaclub.de/en/event/statistical-process-control-rethought-for-improvements-in-healthcare/
LOCATION:Online lecture
CATEGORIES:Online lecture
ORGANIZER;CN="European Six Sigma Club Germany e.V.":MAILTO:buero@sixsigmaclub.de
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DTSTART;TZID=Europe/Berlin:20221014T150000
DTEND;TZID=Europe/Berlin:20221014T160000
DTSTAMP:20260422T062631
CREATED:20220608T121101Z
LAST-MODIFIED:20220608T121101Z
UID:88961-1665759600-1665763200@www.sixsigmaclub.de
SUMMARY:Learning 2.0 - What to look out for in alternative forms of knowledge transfer!
DESCRIPTION:Short text \nThe Learning 2.0 working group has been looking at alternative forms of learning and knowledge transfer. The coronavirus crisis has brought online variants\, asynchronous training and blended learning into focus as alternatives to traditional face-to-face training. The advantages and disadvantages were examined in the working group and in a workshop at the 2022 conference in Berlin. The results of this work and what needs to be considered in alternative forms of knowledge transfer will be presented to a broad audience in this online lecture.
URL:https://www.sixsigmaclub.de/en/event/learning-2-0-what-to-look-out-for-in-alternative-forms-of-knowledge-transfer/
LOCATION:Online lecture
CATEGORIES:Online lecture
ORGANIZER;CN="European Six Sigma Club Germany e.V.":MAILTO:buero@sixsigmaclub.de
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221019T080000
DTEND;TZID=Europe/Berlin:20221021T170000
DTSTAMP:20260422T062631
CREATED:20220608T123032Z
LAST-MODIFIED:20220608T123032Z
UID:88950-1666166400-1666371600@www.sixsigmaclub.de
SUMMARY:Advanced Statistics Workshop Part 2 - open for participants
DESCRIPTION:Part 2 of the popular Advanced Statistics Workshop again deals with interesting statistical tools from the everyday life of Black Belts and Master Black Belts. This event is therefore another valuable building block for Master Black Belt training and also offers interesting material for repetition.  \nThere are still a few places available. If you are interested\, please contact buero@sixsigmaclub.de!
URL:https://www.sixsigmaclub.de/en/event/advanced-statistics-workshop-part-2-open-for-participants/
CATEGORIES:ESSC-D Workshop / Training
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