Health IT Summit in Houston 2014 - Presentation "Improving Healthcare through Data and Analytics” with Katherina Holzhauser, Assistant Vice President, IS Commercialization, Intermountain Healthcare

1. Improving Healthcare Through Data and Analytics
Katherina Holzhauser
Assistant Vice President
IS Strategy, Innovation, & Commercialization
Intermountain Healthcare

2. Page 2
PICC line

3. My Risk of Deep Vein Thrombosis (DVT) and Death
Page 3
Source:
www.vein-central.com

4. Intermountain Healthcare - An Integrated Health System
Intermountain Healthcare 1975
SelectHealth
1983
Medical Group
1994
Page 4

5. “Become a model system”
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6. How We Described Ourselves in 1975
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7. Time Magazine
December 1, 2008
Positive Model
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8. “Perhaps it is time to stop talking about the French Model, or the Canadian Model or the German Model, and start talking about the Utah Model.”
Dennis Cortese, MD
Emeritus President and CEO
Mayo Clinic
Page 8

9. Mission: “Helping people live the healthiest lives possible”

10. VISION
Our Vision
Be a model health system by providing extraordinary care and superior service at an affordable cost.
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11. We deliver outstanding clinical care in a consistent, coordinated way—always improving through evidence-based practice.
Clinical
Excellence

12. Data Analytics Journey at Intermountain
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Collect
Share
Research
Test
Change
Monitor

13. Leverage People and Systems to Collect Data
2006: Dr. Scott Evans lead team investigating Deep Venous Thrombosis (DVT) associated with Peripherally Inserted Central Catheters (PICCs) Manual and electronic data collection
•Notify PICC team daily - PICC associate DVTs (email)
•Check every patient daily for active PICC or one removed within 5 days
•Use “keyword” driven Natural Language Processing on vascular reports to identify a DVT in the same or ascending vein as the PICC
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14. Coded Data Charted by PICC Team
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15. Rate & Cost of DVTs in PICC Patients at Intermountain
PICC DVT Rate = 2.8%
Average difference in LOS = 3.5 days
Average difference in cost = $19,993
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Change
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16. Previous Risk Factor Studies = Conflicting Results
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Monitor
??
Age
BMI
Bed rest

17. Test Hypotheses
Page 17
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ANTI_COAG_MEDS
Event Probability
0.01 0.02 0.03 0.05
N Y
**
BED_REST
Event Probability
0.005 0.010 0.020
N Y
**
0 50 100 150
0.02 0.05 0.20 0.50
LENGTH_OF_STAY
Event Probability
***
0 10 20 30 40 50 60
0.02 0.05 0.10 0.20 0.50
PICC_DURATION_DAYS
Event Probability
**
PICC_SIZE
Event Probability
5e-04 2e-03 1e-02 5e-02
1.SL 2.DL 3.TL
***
PRESSORS_MEDS
Event Probability
0.02 0.04 0.06 0.10
N Y
*
PREV_DVT
Event Probability
0.005 0.020 0.050
N Y
***
SURGERY
Event Probability
0.02 0.03 0.04 0.06
N Y
*
--- 95% Conf Int
*** (p<0.001)
** (p<0.01)
* (p<0.05)

18. PICC Size
French size = outside diameter of the PICC
Lumen = number of separate lines within the PICC
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19. Rate of DVT by PICC Size
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20. Data Drives Behavior Change - # of PICCs Inserted
Page 20
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21. Extend the Change – Work Beyond Boundaries
Intermountain Confidential - Page 21
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22. Key Learnings
You can only manage what you can measure
Measuring allows clinical teams to perform root cause analyses
Partnering with industry can accelerate improved outcomes
Page 22
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23. Extend the Mission through Industry Collaboration and Research
Page 23

24. Take the Journey with Us to Improve Healthcare!
Page 24
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25. Page 25
Contact info: Katherina.Holzhauser@imail.org

26. Intermountain Healthcare is a Utah-based nonprofit system of 22 hospitals, 185 clinics, a medical group with some 1,300 employed physicians, a health plans division called SelectHealth, and other health services. Intermountain is widely recognized as a leader in transforming health care through high quality and sustainable costs.
For more information about Intermountain, visit www.intermountainhealthcare.org.