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Chris Stout, PhD
VP, Department of Research and Data Analytics, ATI
College of Medicine, University of Illinois, Chicago
Chris Stout, PhD
VP, Department of Research and Data Analytics ATI
Holdings, and
The College of Medicine,
University of Illinois at Chicago
Harnessing Big Data
and
Analytics in Healthcare
Who is in the audience today…?
CIO…?
CTO…?
CISO….?
Founder…?
Investor/PE/VC….?
Anyone else….?
Folks that just like to raise their hands…?
Machine Learning and the Profession of Medicine
Feb 2016
Machine Learning… not so fast…
Precision Medicine Initiative®
There’s an app for that… and how!
Roughly 200 new apps added
every day.
Those apps are increasingly being
used in clinical trials.
Right now, there are 860 trials
underway across the globe testing
health apps for clinical use.
If the evidence supporting some of
those apps pans out — e.g., if
they’re able to reduce ER visits or
improve medication adherence —
they could help cut health care
costs in the future.
There’s an app for that… and how!
There’s an app for that… and how!
There’s an app for that… and how!
Apple HealthKit
In 14 of 23 major hospitals are trialing
Google, Phillips, Samsung, IBM, and
others are getting deeper into health-
based technology applications
Healthcare + fitness apps =
comprehensive picture
Send to MD or case manager
Harnessing diverse data, and a lot of it
Predictive Analytics
Predictive Analytics
>15,000 prior-managed bills were loaded and rerun
against the ODG Treatment UR Advisor for each ICD9-
CPT combination on frequency, number of visits,
recommendations from ODG Treatment, and the "Bill
Review Payment (or ODG Approval) Flags" divided
into Green, Yellow, Red…
Green, OK to auto-pay up to ODG Codes for
Automated Approval max number of visits;
Yellow, OK to auto-pay up to 25th %tile
number of visits
Red, need to review
It’s nice to work with workers’ comp
outcomes because…
Outcomes are VERY Quantified
– RTW at the same job description and PDL
or not?
– How many days passed before RTW?
– Nice, clean, and tidy!
Surgeon’s Perspective on a
Good Outcome
• No anesthesia issues
• No surprises during or after
• No complications
• Good wound healing
• No post-op infection
But how does the story end?
Is the patient back at work?
Quickly?
At the same PDL as prior to injury?
With the same job classification?
PRN Tx Guideline
Consult (brought to you
by your EMR)
I was always frustrated with the
disconnect of getting evidence-based
practice in real-time to the clinician
while with the patient
So I did some experimenting….
And we may have
cracked the code
Combing Evidence with Practical Application, in Real-time
Evidence-based practice is sort of
like MoneyBall
Evidence-based practice is not…
Evidence-based practice is not…
No longer a problem of too
little data…
…but too much
OK,
So,
now
WHAT?
It’s about
tools…
Registries to the Rescue!
ATI Outcomes Registry
36
Collaborative Opportunities
37
Example Projects
Analyzing individual patient demographic,
baseline and outcomes characteristics to
predict risk for developing chronic
musculoskeletal pain
Analyzing clinic and clinician, patient
demographics, baseline and outcomes
characteristics to predict likelihoods for
appointment cancellation
Registry in Differentiation and Exposure
38
ATI possesses > 2 million unique cases of clinical outcomes
Solid profile describing clinical-operational results
Building towards differentiation
Creating National Benchmarks for comparison purposes
Developing models to predict and profile best care behaviors
Using data to target improvements to differentiation
Partnering with world class research institutes to innovate, improve patient
management and clinical outcomes
We are in the midst of some
wonderfully revolutionalry and
promising changes afoot…
Please be in touch
Chris.Stout@ATIPT.com
or visit DrChrisStout.com
for these slides

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Dr Stout Healthcare Analytics

  • 1. Chris Stout, PhD VP, Department of Research and Data Analytics, ATI College of Medicine, University of Illinois, Chicago Chris Stout, PhD VP, Department of Research and Data Analytics ATI Holdings, and The College of Medicine, University of Illinois at Chicago Harnessing Big Data and Analytics in Healthcare
  • 2. Who is in the audience today…? CIO…? CTO…? CISO….? Founder…? Investor/PE/VC….? Anyone else….? Folks that just like to raise their hands…?
  • 3. Machine Learning and the Profession of Medicine Feb 2016
  • 6. There’s an app for that… and how! Roughly 200 new apps added every day. Those apps are increasingly being used in clinical trials. Right now, there are 860 trials underway across the globe testing health apps for clinical use. If the evidence supporting some of those apps pans out — e.g., if they’re able to reduce ER visits or improve medication adherence — they could help cut health care costs in the future.
  • 7. There’s an app for that… and how!
  • 8. There’s an app for that… and how!
  • 9. There’s an app for that… and how!
  • 10. Apple HealthKit In 14 of 23 major hospitals are trialing Google, Phillips, Samsung, IBM, and others are getting deeper into health- based technology applications Healthcare + fitness apps = comprehensive picture Send to MD or case manager
  • 11. Harnessing diverse data, and a lot of it
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  • 13.
  • 16. >15,000 prior-managed bills were loaded and rerun against the ODG Treatment UR Advisor for each ICD9- CPT combination on frequency, number of visits, recommendations from ODG Treatment, and the "Bill Review Payment (or ODG Approval) Flags" divided into Green, Yellow, Red…
  • 17. Green, OK to auto-pay up to ODG Codes for Automated Approval max number of visits; Yellow, OK to auto-pay up to 25th %tile number of visits Red, need to review
  • 18.
  • 19.
  • 20. It’s nice to work with workers’ comp outcomes because… Outcomes are VERY Quantified – RTW at the same job description and PDL or not? – How many days passed before RTW? – Nice, clean, and tidy!
  • 21. Surgeon’s Perspective on a Good Outcome • No anesthesia issues • No surprises during or after • No complications • Good wound healing • No post-op infection
  • 22. But how does the story end? Is the patient back at work? Quickly? At the same PDL as prior to injury? With the same job classification?
  • 23.
  • 24. PRN Tx Guideline Consult (brought to you by your EMR)
  • 25. I was always frustrated with the disconnect of getting evidence-based practice in real-time to the clinician while with the patient
  • 26. So I did some experimenting….
  • 27. And we may have cracked the code
  • 28. Combing Evidence with Practical Application, in Real-time
  • 29. Evidence-based practice is sort of like MoneyBall
  • 32. No longer a problem of too little data… …but too much
  • 35. Registries to the Rescue!
  • 37. Collaborative Opportunities 37 Example Projects Analyzing individual patient demographic, baseline and outcomes characteristics to predict risk for developing chronic musculoskeletal pain Analyzing clinic and clinician, patient demographics, baseline and outcomes characteristics to predict likelihoods for appointment cancellation
  • 38. Registry in Differentiation and Exposure 38 ATI possesses > 2 million unique cases of clinical outcomes Solid profile describing clinical-operational results Building towards differentiation Creating National Benchmarks for comparison purposes Developing models to predict and profile best care behaviors Using data to target improvements to differentiation Partnering with world class research institutes to innovate, improve patient management and clinical outcomes
  • 39.
  • 40. We are in the midst of some wonderfully revolutionalry and promising changes afoot…
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  • 43. Please be in touch Chris.Stout@ATIPT.com or visit DrChrisStout.com for these slides