Slides - Healthcare Analytics Summit

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Session #5 – Building An Analytics Strategy
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Session #5 Building an Analytics Strategy Based on
the Healthcare Analytics Adoption Model
Dale Sanders, SVP Health Catalyst
Dale Sanders currently serves as Senior Vice President of Strategy
at Health Catalyst. In addition to his role at Health Catalyst, Dale
served as the senior technology advisor and CIO for the National
Health System in the Cayman Islands.
Previously, he was CIO of Northwestern University Medical Center
and regional director of Medical Informatics at Intermountain. He
holds Bachelor of Science degrees in Chemistry and Biology from
Fort Lewis College and is a graduate of the United States Air Force
Information Systems Engineering Program.
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Editors, Reviewers & Advisers
Many thanks to the following colleagues
Jim Adams
The Advisory Board Company
Meg Aranow
The Advisory Board Company
Dr. David Burton
Health Catalyst
Tom Burton
Health Catalyst
Mike Davis
Mountain Summit Partners
Denis Protti
University of Victoria BC
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Healthcare Analytics Adoption Model
Level 8
Personalized Medicine
& Prescriptive Analytics
Tailoring patient care based on population outcomes and
genetic data. Fee-for-quality rewards health maintenance.
Level 7
Clinical Risk Intervention
& Predictive Analytics
Organizational processes for intervention are supported
with predictive risk models. Fee-for-quality includes fixed
per capita payment.
Level 6
Population Health Management
& Suggestive Analytics
Tailoring patient care based upon population metrics. Feefor-quality includes bundled per case payment.
Level 5
Waste & Care Variability Reduction
Reducing variability in care processes. Focusing on
internal optimization and waste reduction.
Level 4
Automated External Reporting
Efficient, consistent production of reports & adaptability to
changing requirements.
Level 3
Automated Internal Reporting
Efficient, consistent production of reports & widespread
availability in the organization.
Level 2
Standardized Vocabulary
& Patient Registries
Relating and organizing the core data content.
Level 1
Enterprise Data Warehouse
Collecting and integrating the core data content.
Level 0
Fragmented Point Solutions
Inefficient, inconsistent versions of the truth. Cumbersome
internal and external reporting.
Previous Poll
At what level does your organization consistently and
reliably function?
305 Respondents
a.
Level 7-8 – 2.6%
b.
Level 5-6 – 10.8%
c.
Level 3-4 – 27.8%
d.
Level 1-2 – 38.7%
e.
Level 0 – 20.0%
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Let’s Get Started
Go to the following web site:
SELF ASSESSMENT:
http://hasummit.com/haam
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Poll Question #1
Would you be interested in scheduling a follow up
meeting with Health Catalyst to understand your specific
results?
a.
Yes – soon please
b.
Maybe later
c.
Not at this time
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Analytic
Insights
Questions &
Answers
A
Session Feedback Survey
1. On a scale of 1-5, how satisfied were you overall with this session?
1)
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3)
4)
5)
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2. What feedback or suggestions do you have?
3.
On a scale of 1-5, what level of interest would you have for
additional, continued learning on this topic (articles, webinars,
collaboration, training)?
1)
2)
3)
4)
5)
No interest
Some interest
Moderate interest
Very interested
Extremely interested
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Upcoming Breakout Sessions
2:25 PM – 3:25 PM
Location
9. Getting the Most Out of Your Data Analyst
Grand Ballroom D
John Wadsworth, VP, Technical Operations Health Catalyst
* This is a hands-on session
10. How to Make Analytics a Strategic, C-Level
Imperative
Grand Ballroom A
Jon Brown, VP and Associate CIO, Mission Health
Gene Thomas, VP & CIO, Memorial Hospital Gulfport
11. Creating Physician Engagement
Bryan Oshiro, MD, CMO, Health Catalyst
Chris D. Spahr, MD, Enterprise Quality Executive, CHW
12. User Group Kickoff & New Product Roadmap
Thomas D. Burton, SVP, Co-Founder, Health Catalyst
Steve Barlow, SVP & Co-Founder, Health Catalyst
Holly Rimmasch, Chief Clinical Officer, Health Catalyst
Savoy
Venezia
* This is an interactive feedback session
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