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Data-driven practice
    with e-MDs
     User Conference, 2010



         Jonathan Ploudré, MD
Jonathan Ploudré, MD
Geek?
2008 Any EMR




Yes   No
2008 “Full” EMR




 Yes   No
Health IT
Analytics: Secret Sauce
Brainstorm…
Herding Cats
Innovation
3 Steps

•   Dump (Crystal Reports)
•   Dice (Excel)
•   Design (Excel)
FDA Warning
Dump
Where to Start?




   $500        $27
20 minutes   4 hours
Reporting Setup
Reporting Setup
More Reporting Setup
More Reporting Setup
Inside the Database
Views are Legos
Joining…
From Blank slate to ‘Zocor Report’ in 2 minutes
Zip Code Catchment
SELECT

…
addr.Address_ZipCode as 'Zip'
…

FROM
…
JOIN VIEW_Address addr on(a.Entity_ID = addr.Entity_ID)
…
3 Steps

•   Dump (Crystal Reports)
•   Dice (Excel)
•   Design (Excel)
Do I see my patients?



Pt DOB DOS ICD CPT Doc PCP
…   …   …   …   …  …    …
…   …   …   …   …  …    …
…   …   …   …   …  …    …
…   …   …   …   …  …    …
Dice
Autofilter
Autofilter
Autofilter




Flat File becomes Sortable/Filterable
Autofilter




Flat File becomes Sortable/Filterable
Logic for Formulas
• AND, NOT, OR, IF
• =, !=, >, <, >=, <=,
• True, False
                     Focus Horizontally

  Pt DOB DOS ICD CPT Doc PCP
  …   …   …   …   …  …    …
  …   …   …   …   …  …    …
  …   …   …   …   …  …    …
  …   …   …   …   …  …    …
1/0/Nothing
=IF(OR(E2=99213,E2=99212,E2=99214),IF(E2=99214,1,0),"")




     Nesting Logic gets tricky. To simplify your life:
      •Consider $5 on fiverr.com
      •Consider a Excel geek
Lookups
• Allows Non-Math, Non-Logical Groups.
• Say, do OB docs have worse continuity?


  Pt DOB DOS ICD CPT Doc PCP
  …   …   …   …   …  …    …
  …   …   …   …   …  …    …
  …   …   …   …   …  …    …
  …   …   …   …   …  …    …
Pivot Tables
• Summarize & Group
• Ridiculously Powerful.
                               Focus Vertical

  Pt DOB DOS ICD CPT Doc PCP
  …   …   …   …   …  …    …
  …   …   …   …   …  …    …
  …   …   …   …   …  …    …
  …   …   …   …   …  …    …
5 Access/Billing Reports in 90 Seconds
3 Steps

•   Dump (Crystal Reports)
•   Dice (Excel)
•   Design (Excel)
Design
30DAYS
to context connection
                                 Use this practical guide to engage with visualization and build great
                                           context connection skills over the next 30 days.


           est.
           minutes ACTION, Content, *web address                                                                           completion
               30 0

         Mon
WEEK 1




                      READ Is Information Visualization the Next Frontier for Design? http://bit.ly/30Days-InfoViz
                      WATCH Hans Rosling shows the best stats you've ever seen http://bit.ly/30Days-Rosling

         Tue          READ Business Intelligence isn't a technical problem, it is a Social Problem http://bit.ly/30Days-Problem

         Wed          READ Who is Edward Tufte? http://bit.ly/30Days-Tufte

         Thu          READ The Economist: New Ways of Visualising Data http://bit.ly/30Days-Visualize

         Fri          PLAY New York Times Visualization Lab http://bit.ly/30Days-NYTimes

         Mon
WEEK 2




                      WATCH Before trying to communicate information, first understand it. http://bit.ly/30Days-Information
                      READ Part 1 Foundation: Guide to Creating Dashboards People Love http://bit.ly/30Days-DashboardLove1

         Tue          READ The Best of Business Intellgience: Innovation at the Fringe http://bit.ly/30Days-BI

         Wed          READ Think Like a Designer http://bit.ly/30Days-Think

         Thu          DO 30 Resources to Find the Data you Need http://bit.ly/30Days-GetData

         Fri          PLAY Indexed. Fun with communication of Data http://bit.ly/30Days-Indexed
                      DO Create your own visualization http://bit.ly/30Days-ManyEyes
224
Sparklines



“Intense, Word-like”
            —Tufte
Conditional Formatting



   Highlight results, direct attention.
Normalize




Make results comparable, eliminate quibbles
Analytics ≠ Tech
                           Tech   Politcs



Expectation




    Reality
Pitfalls
  Biases                 Systems

Measuring                Cowboy


Counting            Breathing Room


 Average                Actiontastic


Healthcare
Measurability Bias




What’s important but hard to measure?
Counting Bias




Not everything you can count should count
Average Bias




Outliers might be your best source for improvement
Healthcare Bias




See things through the patient’s eyes
Healthgrades.com




Not much of this is in the e-MDs database.
Cowboy




Don’t do it alone, it takes a team.
Breathing Room




People need space to think and decide.
Actiontastic?




Measure what matters, manage what you measure.
Go Forth
Data-driven practice
    with e-MDs
     User Conference, 2010



         Jonathan Ploudré, MD

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Data Driven Practice with e-MDs

Notas del editor

  1. \n
  2. \n
  3. Geek vs Fuzzy Perspective.\nHacks vs Keywords\n\nLet&amp;#x2019;s get started\n
  4. Healthcare = least analytical industry\nPathetically un-analytical\n
  5. So, anyone here is probably an Early Adopter\n
  6. With focus, early adoption advantage won&amp;#x2019;t last.\nWhy Health IT? Giga? Multipositive\n
  7. Makes win-win possible. Better decisions &amp; better insights.\nAnd only 4% even have the possibility of kicking up the heat.\nWho uses the mounds of data?\n\n
  8. Most Rx&amp;#x2019;d. Order Tracking Efficiency. Scan&amp;#x2019;s fastest? 99213/4 Ratio.\nTaskman Bottleneck. Sign Off issues. Holdups on Refills. Overdue Coumadin.\nBest Continuity.\n
  9. More than &amp;#x2018;Running Reports&amp;#x2019;. Not predictable like cows. Herding Cats.\nYou need to do it for your own needs.\n
  10. Rare Opportunity. It&amp;#x2019;s coming.\nToo good for &amp;#x201C;I&amp;#x2019;m busy&amp;#x201D; or &amp;#x201C;Maybe Later&amp;#x201D;\n
  11. So how do you do this?\nKeep steps separate.\n
  12. Reading email, Oh-no, one of my favorite meds has a new warning.\nNone of the built-in reports get me pt&amp;#x2019;s taking the 80mg Dose.\n
  13. Some problems you know you have the data, you just need to get it.\nLet&amp;#x2019;s Face It: not in 20 minutes. Takes time/persistence.\nSimple version, doable. \nThink simple list or flat file as output.\n
  14. These are investments/hurdles.\nOvertime ROI improves\n
  15. How to get my Simvastatin Data?\nConnecting to Database\n
  16. Same details but in Crystal.\n
  17. In general use Views where possible.\nFor Zocor: You need these 3.\n
  18. \n
  19. Joining is a key aspect of relational database.\n
  20. \n
  21. So obviously, it&amp;#x2019;s not this fast your first time!\nBut responding to an FDA announcement is actually doable even with a busy schedule.\n
  22. If you can do SQL, maybe use the built-in reports.\nFor when you need just one more column\n
  23. So we&amp;#x2019;ve got a list dumped out of the database.\nNow it&amp;#x2019;s time to do something with the data.\n
  24. Continuity is a benchmark of quality care. Let&amp;#x2019;s say I can dump out a list of visits from a report. How do we dice that info into something?\n
  25. Let Face it 2: Excel takes more than 20 minutes to master.\nI think of dicing the list as adding a bit more logic/interpretation to data.\n\n
  26. Spreadsheets are more approachable than Crystal.\nSubset of functions can be combined in multiple ways.\n\n
  27. Quick Look around.\n\n
  28. Top ten ICDs or CPTs, etc.\n
  29. Horizontal Analysis!\n
  30. \n
  31. \n
  32. \n
  33. \n
  34. \n
  35. So Dump a flat file list of data\nAnalyze horizontally with logic and lookups\nAnalyze vertically with a pivot table\nYou&amp;#x2019;re not done! You have to present it for &amp;#x2018;humans&amp;#x2019;\n
  36. Needs Color, Organization.\nNot too many numbers.\nNot too few either.\n
  37. Although you won&amp;#x2019;t master it now:\nDoable as a &amp;#x2018;hobby&amp;#x2019;.\n
  38. \n
  39. \n
  40. Allow lots of data \n
  41. \n
  42. \n
  43. \n
  44. \n
  45. \n
  46. So what&amp;#x2019;s the problem with my 3 step process?\n
  47. This is not a tech problem.\nEMR transition is like this.\n
  48. Cognitive Biases: Mistakes you make at the beginning\nSystems Errors: Mistakes you make on follow through\n
  49. Counterexample: Receptionist&amp;#x2019;s smiles\n
  50. Counterexample: Lookups\n
  51. Counterexample: Outliers\n
  52. Patient Continuity, not provider continuity\n
  53. This isn&amp;#x2019;t in your e-MDs Database\n
  54. You can&amp;#x2019;t do it alone. Need a team.\n
  55. You need space to think.\n
  56. Measure what matters\nManage what you measure.\n
  57. Here we are again:\nWe&amp;#x2019;re lucky to have mounds of data\n
  58. This is a rare opportunity\nIt&amp;#x2019;s doable; it&amp;#x2019;s not a career change.\n
  59. \n