Data Driven Practice in e-MDs. This covers custom crystal reports from scratch, slicing and dicing data in Excel, Visualizing Data, and understanding that change isn't really a technical problem.
41. 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
Geek vs Fuzzy Perspective.\nHacks vs Keywords\n\nLet’s get started\n
Healthcare = least analytical industry\nPathetically un-analytical\n
So, anyone here is probably an Early Adopter\n
With focus, early adoption advantage won’t last.\nWhy Health IT? Giga? Multipositive\n
Makes win-win possible. Better decisions & better insights.\nAnd only 4% even have the possibility of kicking up the heat.\nWho uses the mounds of data?\n\n
Most Rx’d. Order Tracking Efficiency. Scan’s fastest? 99213/4 Ratio.\nTaskman Bottleneck. Sign Off issues. Holdups on Refills. Overdue Coumadin.\nBest Continuity.\n
More than ‘Running Reports’. Not predictable like cows. Herding Cats.\nYou need to do it for your own needs.\n
Rare Opportunity. It’s coming.\nToo good for “I’m busy” or “Maybe Later”\n
So how do you do this?\nKeep steps separate.\n
Reading email, Oh-no, one of my favorite meds has a new warning.\nNone of the built-in reports get me pt’s taking the 80mg Dose.\n
Some problems you know you have the data, you just need to get it.\nLet’s Face It: not in 20 minutes. Takes time/persistence.\nSimple version, doable. \nThink simple list or flat file as output.\n
These are investments/hurdles.\nOvertime ROI improves\n
How to get my Simvastatin Data?\nConnecting to Database\n
Same details but in Crystal.\n
In general use Views where possible.\nFor Zocor: You need these 3.\n
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Joining is a key aspect of relational database.\n
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So obviously, it’s not this fast your first time!\nBut responding to an FDA announcement is actually doable even with a busy schedule.\n
If you can do SQL, maybe use the built-in reports.\nFor when you need just one more column\n
So we’ve got a list dumped out of the database.\nNow it’s time to do something with the data.\n
Continuity is a benchmark of quality care. Let’s say I can dump out a list of visits from a report. How do we dice that info into something?\n
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
Spreadsheets are more approachable than Crystal.\nSubset of functions can be combined in multiple ways.\n\n
Quick Look around.\n\n
Top ten ICDs or CPTs, etc.\n
Horizontal Analysis!\n
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So Dump a flat file list of data\nAnalyze horizontally with logic and lookups\nAnalyze vertically with a pivot table\nYou’re not done! You have to present it for ‘humans’\n
Needs Color, Organization.\nNot too many numbers.\nNot too few either.\n
Although you won’t master it now:\nDoable as a ‘hobby’.\n
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Allow lots of data \n
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So what’s the problem with my 3 step process?\n
This is not a tech problem.\nEMR transition is like this.\n
Cognitive Biases: Mistakes you make at the beginning\nSystems Errors: Mistakes you make on follow through\n