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Improvement Through Data: Communicate Effectively with Graphs - A Guide by Thomas R. Zastowny

Learn the importance of clear data communication and graphing techniques to showcase improvements effectively. Discover essential rules for making charts right and how to identify changes leading to improvement. Explore common graphical representations and real-life examples of successful change initiatives. Reference the proven Act Plan Study Do model for improvement and enhance your data visualization skills. Ensure your charts provide a clear message, are labeled accurately, and maintain visual integrity. Avoid misleading information and clutter to convey insights effectively.

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Improvement Through Data: Communicate Effectively with Graphs - A Guide by Thomas R. Zastowny

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  1. NIATx –How Do We Know A Change Is An Improvement? a.k.a. “Data Is Your Friend” -REMIX-Graphs and Graphing Thomas R Zastowny, PhD NIATx Coach & Healthcare Consultant Reduce Waiting & No-Shows  Increase Admissions & Continuation All authors share equally in this presentation

  2. “To put it simply: tell your story clearly and communicate the data accurately. Do that, and you'll be alright….” Basic Rules for Making Charts Right « graphs-of-the-day.com. Pingback: Curious Cat Management Improvement Blog flowingdata.com/2010/.../7-basic-rules-for-making-charts-and-graphs/ -

  3. Check the data • 2. Label axes • 3. Include units • 4. Keep your geometry in check • 5. Include your sources • 6. Explain encodings • 7. Consider your audience

  4. What are we trying to accomplish? • How will we know that a change is an improvement? • What changes can we make that will result in an • improvement? Act Plan Study Do Model for Improvement Reference: Langley, Nolan, Nolan, Norman, & Provost. The Improvement Guide

  5. A P S D D S P A A P S D A P S D Change Cycles Changes That Result in Improvement DATA Hunches Theories Ideas

  6. Three common pictures: • Pie Charts • Bar Graphs • Pictograms

  7. SAMPLE BAR Leadership Characteristics Change Leader Characteristic Survey 29 Categories, 99 responses - Change leaders (n = 40)/Executive sponsors (n=20)/Change teams members (n=39)

  8. STAR-SI Results:Improvements on a Single Measure RMHA: Decreased average days from 1st request to admission by 47% (on average) for 12 months HHC: Reduced the average # of days from 1st Assess to Admission by 39% (on average) for 15 months FACTS: Almost doubled the % of first appointments kept on average (38% to 71%) SE Nassau: Increased the number of assessments per month by 30% (on average)

  9. STAR-SI providers* increase monthly assessments by 34 % and monthly admissions by 26% *n = 8 STAR-SI Providers (YearI and II)

  10. Sample STAR-QI ReportAS4: # Days from 1st request for service to 1stclinical service This provider was able to reduce the # days from the time of 1st contact to first service by almost 4 days.

  11. Example Chart

  12. PI TEA–Use of Data (NIATx Workbook, 2007)

  13. Summary-10 Questions • Does the messageof interest stand out clearly? 2. Is the purpose or title of the picture evident? 3. Is a sourcegiven for the data, either with the picture or in an accompanying article? 4. Did the information in the picture come from a reliable, believable source? 5. Is everything clearly labeled, leaving no ambiguity?

  14. Summary-10 Questions 6. Do the axes start at zero or not? 7. Do the axes maintain a constant scale? 8. Are there any breaks in the numbers on the axes that may be easy to miss? 9. For financial data, have the numbers been adjusted? 10. Is there information cluttering the picture or misleadingthe eye?

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