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What the Leading Health Systems Do Differently with
Analytics and Data Warehousing
Break All The Rules
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Health Catalyst’s Philosophy
We educate, we don’t sell.
An educated person decides what’s best for them to buy.
2
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Overview & Context
• Healthcare Data Warehousing Association
(HDWA), 2001
• How do we create role models for analytic success in
healthcare?
• Can we recreate it?
• Health Catalyst is the commercial manifestation
of HDWA
• Today’s webinar
• What are the common traits of the leaders?
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• I was hoping for checklists, recipes and
algorithms for Analytic Success
• No such luck
• It’s much squishier than that, but it’s still replicable
• Today’s discussion will be more about intangible
qualities of culture, leadership, and attitude
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It Starts With Culture
Followed closely by strategy and execution
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Leaders Are Operating Consistently At Level 6.5
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There Aren’t Many Leaders
A Few Examples
• Intermountain Health Care
• Quietly, consistently, leading for 30+ years
• Allina
• Becoming the Intermountain of Minnesota
• Kaiser
• Per-capita prepayment and quality baked into its DNA
• Geisinger
• The mindset of Intermountain, the culture of Mayo
7
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Why Isn’t Everyone Doing It?
Is it really that difficult or complex?
8
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Culture
9
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Asked Dear Friends…
…What key pieces of advice should I emphasize?
• “Be brave with data.”
• “The teams that try to plan everything out from the
outset fail. Agile and lean wins in data warehousing
as in small businesses.”
• “I believe the most important lesson I have (and still
am) learning is to let imperfect but useful things lose
into the wild.”
• “…let it lose and iteratively refine…”
• “…smart healthcare CIOs expect and “give
permission” to their BI leaders to evaluate rules and
precedents based on risk and motives.”
10
Thank you Eric Just, Steve Catmull, and Mike Doyle
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How Do You Identify A “Leader”?
 Lead Past Competing Interests
• They balance the tension of care delivery, economic risk, affordability
of care, and accessibility to care… all under one CEO
 Risk Takers
• They take risks, on their own, with new care delivery models and
population health… no government mandates required
 Consistently Principle-Driven
• They do the right thing for patients and their communities, even at the
risk of financial loss in a fee-for-service environment
 Data Trumps Ego & Anecdote
• They have the courage to face the truth of data
• Data drives their decisions, not anecdotes and hunches
 Motivate people through Mastery, Autonomy, and Purpose
 They recognize what motivates people and organizations
11
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What Motivates People?
12
Thank you, Daniel Pink
Nurture and
encourage these…
Be aware to avoid
stepping on them…
By accident or design, leaders practice this…
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The Motives Behind Behavior
Enlightenment
Peace
Joy
Love
Reason
Acceptance
Willingness
Neutrality
Courage
Pride
Anger
Desire
Fear
Grief
Apathy
Guilt
Shame
The Turning Point
*-- Power vs. Force, Hawkins
Inherently positive motives as they affect behavior
Generally negative motives as they affect behavior
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
Leading Past Competing Interests
14
Balance is elusive… it moves… and
might not always be appropriate
15
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Leaders Are 100%
Consistent On This…
16
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Simple Equation
Leaders are constantly thinking in these terms, and
living in the realm of risk tolerance
17
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Data Quality
18
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Trust With Data
19
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Centralized vs. Decentralized
Resources and Staffing
20
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
Determination & Commitment
21
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Internal Small Business Mentality
22
Nobody has to do business with the EDW team
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Characteristics of
Successful Small Businesses
23
Small Business Checklist
1. Have you clearly documented your products and services AND the customers that
want/need them?
2. Do you have product line managers and teams?
3. Do you track who uses which of your products and how often?
4. Do you have a strategic product roadmap?
5. Do you have a web site that makes it easy…
‒ For new customers to find you, understand your products, and consume them?
‒ For existing customers to get the most out of your products and encourage those customers to collaborate?
6. Do you have a team member that leads and executes your marketing strategy to
attract new clients?
7. Are you operating with financial efficiency?
8. Do you regularly poll your customers for their satisfaction and suggestions for product
enhancements?
9. Do you regularly poll your team members to track their satisfaction?
10. Do you have a Board of Directors (i.e., Data Governance Committee)?
24
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Personality Of The
Analytics Leader
25
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Personality Of The
Analytics Team
26
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Strategy
27
Leaders Are
Covering The
Continuum
Of Analytic
Use Cases
28
Robert Wood Johnson Foundation, 2014
Requires a collaborative
strategy between leaders
in healthcare, politics,
charity, education, and
business
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
They Invest In Analytics
• This is not an “additional duty”
• EMRs required investments in technology and
people… so do enterprise data warehouses
(EDW). But, luckily, a small fraction of an EMR.
29
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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The EMR Is A Means, Not The End
30
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Where Are They Focused?
31
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
Aligning Strategy: Data to Monitor Variation
Range
85% - 95%
Range
94% - 98%
The Joint Commission Index Across Hospitals:
Demonstrated Progress in Reducing Variation
Thank you, Lisa
Shilling, Kaiser
Permanente
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Analytics Strategy
Vertical and Horizontal… Tactical and Strategic
33
Lab
Admissions
Radiology
Registration
Pharmacy
Nursing
AR/AP
MaterialsMgt
Intensive Medicine
Cardiology
Oncology
Women & Newborns
Primary Care
Step Two:
Clinical Excellence
Programs
Step One: Operational Excellence Programs
More complex
Less complex
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Organize Your Analytics Teams
34
Boards and C-Levels: Let your clinical and administrative
leaders establish their specific clinical and financial goals
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Matrixed Collaboration
35
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Move On Parallel Fronts
36
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Replacing Existing Reporting Systems
Use the EDW for its unique capabilities… stop squabbling with the
Departments
37
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Analytics Tools Dogma
There’s a reason Excel is still so popular… it works
38
Give data analysts what they want; not what you want them to want
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Traditional Software Engineering vs.
Data Engineering
• The thickness of a requirements document is
inversely related to the success of a data
warehousing project
• Can you define all the use cases for the books in
a library? No… same is true for a data warehouse
• As long as you gather and retain the granular
data in its true form, you can repurpose that data,
an infinite number of ways
39
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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The Data Warehouse Platform…
It’s Not Just For Analytics
Secondary Use of Transaction Data
40
 Risk Takers
 Consistently Principle-Driven
 Data Trumps Ego & Anecdote
 Lead Past Competing Interests
 Mastery, Autonomy, Purpose
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Execution
41
Geisinger
Managing gaps in care
42
42
Care Gap Examples
Advance Directives
Lipid Panel, HgbA1c
Aspirin for CAD
Depression and Asthma
BP <140/90, LDL <100Clinical Goal
Active Medication
Lab Result
Imaging Result
Scanned Document
Patient Reported Data
Mammogram, DXA
Nephrology for CKD Stage 4
Asthma Action Plan
Heart FailurePatient Education
Clinical Documentation
Referral
Diagnosis Coding HCCs
Thank you, Dr. Fred Bloom
Geisinger
Redesign and Care Coordination Delivers Rapid Impact
43
43
Thank you, Dr. Fred Bloom
 AAA Screening  Malignant Melanoma
 Adolescent Well Visits—
Birthday Model
 Medical Weight
Management
 Adult Preventive Care—
Birthday Model
 Osteoporosis Program
 Colonoscopy Screening
Program—Birthday Model
 Peds Transition to Primary
Care (after age 18)
 CKD Stage 4  Sleep Medicine Outreach
(BMI 35-39)
 Dexa Scans  Women’s Health: Annual
GYN Exams—Birthday
Model
 Emergency Department
Transition to Primary Care
Provider
 Influenza, Pertussis &
Pneumococcal
Care Gap Programs
44
Thank you, Dr. Fred Bloom
Proven Health Navigator
Results for Medicare
45(Am J Manag Care. 2010;16(8):607-614)
Thank you, Dr. Fred Bloom
PHN Return On Investment
46
Thank you, Dr. Fred Bloom
Three-Year Results in 25,000
DM Patients
47
305 MIs
Prevented
NNT to prevent
one (1) MI
=
82 patients
140 Strokes
Prevented
NNT to prevent
one (1) Stroke
=
170 patients
166 Cases of
Retinopathy
Prevented
NNT to prevent one
(1) case of
Retinopathy
=
152 patients
Thank you, Dr. Fred Bloom
Kaiser’s Quality Goals Timeline – 2011 – 2013
Domain 2011 2012 2013
Population Health
Self perceived health status data
for 15% of members
Self perceived health status data
for 20% of members
Self perceived health status data
for 25% of members
Population Care
Management - Chronic
Conditions
Medicare Stars Part C 4 Stars
HEDIS composite at 90th percentile
All CV, diabetes, and cancer screening
metrics at 90th percentile
Behaviorial Health, Musculoskeletal 90%
Medication Management 75%
Medicare Stars Part C 4 Stars
All CV, diabetes, and cancer screening
metrics at 90th percentile
Behaviorial Health, Musculoskeletal and
respiratory @ 90%
Medication Management 75%
Medicare Stars Part C 4 Stars
All CV, diabetes, and cancer screening
metrics at 90th percentile
Behaviorial Health, Musculoskeletal and
respiratory @ 90%
Medication Management 90%
Inpatient
HSMR
TJC Composite
Reduce HSMR: Below US Medicare
average, crude mortality 10% from 2010
baseline
TJC Composite at national 90th percentile
Readmit rate<15% of all cause
readmissions
Reduce HSMR: Below US Medicare
TBD - May shift to inpatient outcomes
Readmit rate<10% of all cause
readmissions
TJC Composite at national 90th
percentile
Reduce HSMR: Below US Medicare
TJC Composite at national 90th percentile
Patient Safety Never
Events
10% less events than 2010 10% less events than 2011 10% less events than 2012
Workplace Safety Per regional targets Per regional targets Per regional targets
Clinical Risk
Management
0 to 5% reduction in lawsuits
with a payout from 2010
0 to 5% reduction in lawsuits
with a payout from 2011
0 to 5% reduction in lawsuits
with a payout from 2012
Service
Hospital
Outpatient
HealthPlan
Medicare Stars
At National 75th percentile (final
quarter)
75th percentile in local or national
in 3 of 8 regions
75th percentile in local or national
in 6 of 8 regions
4 Stars on Overall CAHPS
At national 75th percentile (rolling
12 months)
75th percentile in local or national
in 5 of 8 regions
75th percentile in local or national 7
of 8 regions
4+ Stars on Overall CAHPS
Above National 75th percentile (rolling
12 months)
8 of 8 Regions at goal
8 of 8 regions at goal
4+ Stars on Overall CAHPS
Equitable Care
Identify interventions to
reduce the gap
Decrease the gap by x%
Decrease by x% more over
2012
Thank you, Lisa
Shilling, Kaiser
Permanente
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Intermountain’s Board Goals
Six “Dimensions of Care” goal areas
1. Clinical Excellence
2. Patient Engagement
3. Operational Effectiveness
4. Employee Engagement
5. Physician Engagement
6. Community Stewardship
49
Thank you, Intermountain web site
Intermountain’s Clinical Excellence Board Goals
1. Behavioral Health Clinical Program: Decrease inpatient psychiatric 30-day readmission rate for the Intermountain system.
2. Cardiovascular Clinical Program: Integrate the treatment of heart failure patients across the continuum to improve care and reduce
hospital readmissions.
3. Intermountain Homecare: Improve care transitions to and from Homecare through effective communication, collaboration, and
coordination among care providers.
4. Intensive Medicine Clinical Program: Decrease mortality in patients diagnosed during their hospital stay with severe sepsis.
5. Oncology Clinical Program: Improve the appropriate utilization of genetic screening to determine if families are at higher risk for
colon and endometrial cancer.
6. Patient Safety: Reduce the system rate of catheter-associated urinary tract infections.
7. Pediatric Specialties Clinical Program: Build a care model for children with type 1 diabetes.
8. Primary Care Clinical Program: Establish an individualized approach to diabetic care by engaging patients in self-management,
primary care visits, and specialty consultations.
9. SelectHealth: Increase the percentage of SelectHealth members with diabetes who meet four measures of diabetes care: blood sugar
control, cholesterol control, kidney function, and eye exam.
10. Surgical Services: A three-part goal that reduces blood utilization, defines clinical outcome measures for specific development teams,
and develops and implements a standardized process to decrease intracase supply utilization. Intracase utilization means the
processes or units of care used within each health episode.
11. Women and Newborns: Improve care, cost efficiency, and resource utilization in the neonatal intensive care unit (NICU), and
accurately estimate the number of babies with early onset bacterial infection.
12. Primary Children’s Hospital: Increase the involvement of infectious disease specialists in decisions to use outpatient antibiotic
therapy via infusion, injection, or implantation.
13. Rural Facilities: Implement electronic physician orders to guide evidence-based care for patients with the primary diagnosis of
pneumonia, labor induction, pancreatitis, and sepsis.
14. CMS Value-Based Purchasing: The Hospital Value-Based Purchasing (VBP) Program is a Centers for Medicare & Medicaid Services
(CMS) initiative that rewards hospitals with incentive payments for the quality of care they provide to people covered by Medicare. The
focuses for Intermountain’s goal in this area are to:
● Attain a significant improvement in the value-based purchasing process and outcome domains for select measures.
● Sustain progress for those hospitals that already meet or exceed national benchmarks.
50Thank you, Intermountain web site
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In Conclusion
51
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How Do You Become An Analytics “Leader”?
 Lead Past Competing Interests
• Balance the tension of care delivery, economic risk, affordability of
care, and accessibility to care… all under one CEO
 Take Risk
• Take risks, on their own, with new care delivery models and
population health… no government mandates required
 Consistently Practice Principle-Driven Decisions
• Do the right thing for patients and their communities, even at the risk
of financial loss in a fee-for-service environment
 Value Data Over Ego & Anecdote
• Have the courage to face the truth of data
• Data drives their decisions, not anecdotes and hunches
 Motivate through Mastery, Autonomy, and Purpose
• Recognize what motivates people and organizations
52
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Thank You
Upcoming Educational Opportunities
Healthcare Transformation Series: Chapter Seven
Date: September 4, 1-2pm, EST
Presenter: Dr. John Haughom, Senior Advisor, Health Catalyst
http://www.healthcatalyst.com/knowledge-center/webinars-presentations
Healthcare Analytics Summit
Join top healthcare professionals for a high-powered analytics summit using analytics to
drive an engaging experience with renowned leaders who are on the cutting edge of
healthcare using data-driven methods to improve care and reduce costs.
Date: September 24th-25th
Location: Salt Lake City, Utah
Save the Date: http://www.healthcatalyst.com/news/healthcare-analytics-summit-2014
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© 2014 Health Catalyst
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Transforming Healthcare
Through Analytics
Provide a tangible vision of healthcare analytics
Leading keynote speakers
Engage the audience with analytics in a unique way
Hands-on learning experiences
Interactive audience engagement, optimized for
teams
User and special interest group follow up
Provide meaningful networking opportunities
Share Health Catalyst vision, products, roadmaps
Have Fun
Access to a mobile app will be used for
audience response and participation in
real time. Group-wide and individual
analytic insights will be shared throughout
the summit, resulting in a more
substantive, engaging experience while
demonstrating the power of analytics.
hasummit.com
Billy Beane
General Manager
Oakland A’s
Glen D. Steele, MD, PhD
President and CEO
Geisinger Health System
Ray Kurzweil
Director of Engineering
Google and Leading Futurist
James Merlino, MD
Chief Experience Officer
Cleveland Clinic
Penny Wheeler
President and Chief Clinical Officer
Allina Health
Charles Macias, MD, MPH
Chief Clinical Integration Systems Office
Texas Children’s Hospital
Governor Mike Leavitt
Former Secretary of HHS
Founder of Leavitt Partners
Ms. Lizette Yearwood, JP
Chief Executive Officer
Cayman Islands
Health Service Authority (HAS)
Keynote Speakers
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Q&A, Contact Information
dale.sanders@healthcatalyst.com
@drsanders
55

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Breaking All the Rules: What the Leading Health Systems Do Differently with Analytics and Data Warehousing

  • 1. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright © 2014 Health Catalyst www.healthcatalyst.comCreative Commons Copyright What the Leading Health Systems Do Differently with Analytics and Data Warehousing Break All The Rules
  • 2. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Health Catalyst’s Philosophy We educate, we don’t sell. An educated person decides what’s best for them to buy. 2
  • 3. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Overview & Context • Healthcare Data Warehousing Association (HDWA), 2001 • How do we create role models for analytic success in healthcare? • Can we recreate it? • Health Catalyst is the commercial manifestation of HDWA • Today’s webinar • What are the common traits of the leaders?
  • 4. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright • I was hoping for checklists, recipes and algorithms for Analytic Success • No such luck • It’s much squishier than that, but it’s still replicable • Today’s discussion will be more about intangible qualities of culture, leadership, and attitude
  • 5. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright It Starts With Culture Followed closely by strategy and execution
  • 6. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright 6 Leaders Are Operating Consistently At Level 6.5
  • 7. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright There Aren’t Many Leaders A Few Examples • Intermountain Health Care • Quietly, consistently, leading for 30+ years • Allina • Becoming the Intermountain of Minnesota • Kaiser • Per-capita prepayment and quality baked into its DNA • Geisinger • The mindset of Intermountain, the culture of Mayo 7
  • 8. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Why Isn’t Everyone Doing It? Is it really that difficult or complex? 8
  • 9. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright © 2014 Health Catalyst www.healthcatalyst.comCreative Commons Copyright Culture 9
  • 10. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Asked Dear Friends… …What key pieces of advice should I emphasize? • “Be brave with data.” • “The teams that try to plan everything out from the outset fail. Agile and lean wins in data warehousing as in small businesses.” • “I believe the most important lesson I have (and still am) learning is to let imperfect but useful things lose into the wild.” • “…let it lose and iteratively refine…” • “…smart healthcare CIOs expect and “give permission” to their BI leaders to evaluate rules and precedents based on risk and motives.” 10 Thank you Eric Just, Steve Catmull, and Mike Doyle
  • 11. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright How Do You Identify A “Leader”?  Lead Past Competing Interests • They balance the tension of care delivery, economic risk, affordability of care, and accessibility to care… all under one CEO  Risk Takers • They take risks, on their own, with new care delivery models and population health… no government mandates required  Consistently Principle-Driven • They do the right thing for patients and their communities, even at the risk of financial loss in a fee-for-service environment  Data Trumps Ego & Anecdote • They have the courage to face the truth of data • Data drives their decisions, not anecdotes and hunches  Motivate people through Mastery, Autonomy, and Purpose  They recognize what motivates people and organizations 11
  • 12. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright What Motivates People? 12 Thank you, Daniel Pink Nurture and encourage these… Be aware to avoid stepping on them… By accident or design, leaders practice this…
  • 13. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright 13 The Motives Behind Behavior Enlightenment Peace Joy Love Reason Acceptance Willingness Neutrality Courage Pride Anger Desire Fear Grief Apathy Guilt Shame The Turning Point *-- Power vs. Force, Hawkins Inherently positive motives as they affect behavior Generally negative motives as they affect behavior  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 14. Leading Past Competing Interests 14 Balance is elusive… it moves… and might not always be appropriate
  • 15. 15
  • 16. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Leaders Are 100% Consistent On This… 16  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 17. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Simple Equation Leaders are constantly thinking in these terms, and living in the realm of risk tolerance 17  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 18. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Data Quality 18  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 19. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Trust With Data 19  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 20. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Centralized vs. Decentralized Resources and Staffing 20  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 21. Determination & Commitment 21  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 22. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Internal Small Business Mentality 22 Nobody has to do business with the EDW team
  • 23. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Characteristics of Successful Small Businesses 23
  • 24. Small Business Checklist 1. Have you clearly documented your products and services AND the customers that want/need them? 2. Do you have product line managers and teams? 3. Do you track who uses which of your products and how often? 4. Do you have a strategic product roadmap? 5. Do you have a web site that makes it easy… ‒ For new customers to find you, understand your products, and consume them? ‒ For existing customers to get the most out of your products and encourage those customers to collaborate? 6. Do you have a team member that leads and executes your marketing strategy to attract new clients? 7. Are you operating with financial efficiency? 8. Do you regularly poll your customers for their satisfaction and suggestions for product enhancements? 9. Do you regularly poll your team members to track their satisfaction? 10. Do you have a Board of Directors (i.e., Data Governance Committee)? 24
  • 25. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Personality Of The Analytics Leader 25  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 26. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Personality Of The Analytics Team 26  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 27. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright © 2014 Health Catalyst www.healthcatalyst.comCreative Commons Copyright Strategy 27
  • 28. Leaders Are Covering The Continuum Of Analytic Use Cases 28 Robert Wood Johnson Foundation, 2014 Requires a collaborative strategy between leaders in healthcare, politics, charity, education, and business  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 29. They Invest In Analytics • This is not an “additional duty” • EMRs required investments in technology and people… so do enterprise data warehouses (EDW). But, luckily, a small fraction of an EMR. 29  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 30. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright The EMR Is A Means, Not The End 30  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 31. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Where Are They Focused? 31  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 32. Aligning Strategy: Data to Monitor Variation Range 85% - 95% Range 94% - 98% The Joint Commission Index Across Hospitals: Demonstrated Progress in Reducing Variation Thank you, Lisa Shilling, Kaiser Permanente
  • 33. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Analytics Strategy Vertical and Horizontal… Tactical and Strategic 33 Lab Admissions Radiology Registration Pharmacy Nursing AR/AP MaterialsMgt Intensive Medicine Cardiology Oncology Women & Newborns Primary Care Step Two: Clinical Excellence Programs Step One: Operational Excellence Programs More complex Less complex
  • 34. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Organize Your Analytics Teams 34 Boards and C-Levels: Let your clinical and administrative leaders establish their specific clinical and financial goals
  • 35. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Matrixed Collaboration 35
  • 36. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Move On Parallel Fronts 36
  • 37. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Replacing Existing Reporting Systems Use the EDW for its unique capabilities… stop squabbling with the Departments 37  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 38. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Analytics Tools Dogma There’s a reason Excel is still so popular… it works 38 Give data analysts what they want; not what you want them to want  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 39. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Traditional Software Engineering vs. Data Engineering • The thickness of a requirements document is inversely related to the success of a data warehousing project • Can you define all the use cases for the books in a library? No… same is true for a data warehouse • As long as you gather and retain the granular data in its true form, you can repurpose that data, an infinite number of ways 39  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 40. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright The Data Warehouse Platform… It’s Not Just For Analytics Secondary Use of Transaction Data 40  Risk Takers  Consistently Principle-Driven  Data Trumps Ego & Anecdote  Lead Past Competing Interests  Mastery, Autonomy, Purpose
  • 41. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright © 2014 Health Catalyst www.healthcatalyst.comCreative Commons Copyright Execution 41
  • 42. Geisinger Managing gaps in care 42 42 Care Gap Examples Advance Directives Lipid Panel, HgbA1c Aspirin for CAD Depression and Asthma BP <140/90, LDL <100Clinical Goal Active Medication Lab Result Imaging Result Scanned Document Patient Reported Data Mammogram, DXA Nephrology for CKD Stage 4 Asthma Action Plan Heart FailurePatient Education Clinical Documentation Referral Diagnosis Coding HCCs Thank you, Dr. Fred Bloom
  • 43. Geisinger Redesign and Care Coordination Delivers Rapid Impact 43 43 Thank you, Dr. Fred Bloom
  • 44.  AAA Screening  Malignant Melanoma  Adolescent Well Visits— Birthday Model  Medical Weight Management  Adult Preventive Care— Birthday Model  Osteoporosis Program  Colonoscopy Screening Program—Birthday Model  Peds Transition to Primary Care (after age 18)  CKD Stage 4  Sleep Medicine Outreach (BMI 35-39)  Dexa Scans  Women’s Health: Annual GYN Exams—Birthday Model  Emergency Department Transition to Primary Care Provider  Influenza, Pertussis & Pneumococcal Care Gap Programs 44 Thank you, Dr. Fred Bloom
  • 45. Proven Health Navigator Results for Medicare 45(Am J Manag Care. 2010;16(8):607-614) Thank you, Dr. Fred Bloom
  • 46. PHN Return On Investment 46 Thank you, Dr. Fred Bloom
  • 47. Three-Year Results in 25,000 DM Patients 47 305 MIs Prevented NNT to prevent one (1) MI = 82 patients 140 Strokes Prevented NNT to prevent one (1) Stroke = 170 patients 166 Cases of Retinopathy Prevented NNT to prevent one (1) case of Retinopathy = 152 patients Thank you, Dr. Fred Bloom
  • 48. Kaiser’s Quality Goals Timeline – 2011 – 2013 Domain 2011 2012 2013 Population Health Self perceived health status data for 15% of members Self perceived health status data for 20% of members Self perceived health status data for 25% of members Population Care Management - Chronic Conditions Medicare Stars Part C 4 Stars HEDIS composite at 90th percentile All CV, diabetes, and cancer screening metrics at 90th percentile Behaviorial Health, Musculoskeletal 90% Medication Management 75% Medicare Stars Part C 4 Stars All CV, diabetes, and cancer screening metrics at 90th percentile Behaviorial Health, Musculoskeletal and respiratory @ 90% Medication Management 75% Medicare Stars Part C 4 Stars All CV, diabetes, and cancer screening metrics at 90th percentile Behaviorial Health, Musculoskeletal and respiratory @ 90% Medication Management 90% Inpatient HSMR TJC Composite Reduce HSMR: Below US Medicare average, crude mortality 10% from 2010 baseline TJC Composite at national 90th percentile Readmit rate<15% of all cause readmissions Reduce HSMR: Below US Medicare TBD - May shift to inpatient outcomes Readmit rate<10% of all cause readmissions TJC Composite at national 90th percentile Reduce HSMR: Below US Medicare TJC Composite at national 90th percentile Patient Safety Never Events 10% less events than 2010 10% less events than 2011 10% less events than 2012 Workplace Safety Per regional targets Per regional targets Per regional targets Clinical Risk Management 0 to 5% reduction in lawsuits with a payout from 2010 0 to 5% reduction in lawsuits with a payout from 2011 0 to 5% reduction in lawsuits with a payout from 2012 Service Hospital Outpatient HealthPlan Medicare Stars At National 75th percentile (final quarter) 75th percentile in local or national in 3 of 8 regions 75th percentile in local or national in 6 of 8 regions 4 Stars on Overall CAHPS At national 75th percentile (rolling 12 months) 75th percentile in local or national in 5 of 8 regions 75th percentile in local or national 7 of 8 regions 4+ Stars on Overall CAHPS Above National 75th percentile (rolling 12 months) 8 of 8 Regions at goal 8 of 8 regions at goal 4+ Stars on Overall CAHPS Equitable Care Identify interventions to reduce the gap Decrease the gap by x% Decrease by x% more over 2012 Thank you, Lisa Shilling, Kaiser Permanente
  • 49. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Intermountain’s Board Goals Six “Dimensions of Care” goal areas 1. Clinical Excellence 2. Patient Engagement 3. Operational Effectiveness 4. Employee Engagement 5. Physician Engagement 6. Community Stewardship 49 Thank you, Intermountain web site
  • 50. Intermountain’s Clinical Excellence Board Goals 1. Behavioral Health Clinical Program: Decrease inpatient psychiatric 30-day readmission rate for the Intermountain system. 2. Cardiovascular Clinical Program: Integrate the treatment of heart failure patients across the continuum to improve care and reduce hospital readmissions. 3. Intermountain Homecare: Improve care transitions to and from Homecare through effective communication, collaboration, and coordination among care providers. 4. Intensive Medicine Clinical Program: Decrease mortality in patients diagnosed during their hospital stay with severe sepsis. 5. Oncology Clinical Program: Improve the appropriate utilization of genetic screening to determine if families are at higher risk for colon and endometrial cancer. 6. Patient Safety: Reduce the system rate of catheter-associated urinary tract infections. 7. Pediatric Specialties Clinical Program: Build a care model for children with type 1 diabetes. 8. Primary Care Clinical Program: Establish an individualized approach to diabetic care by engaging patients in self-management, primary care visits, and specialty consultations. 9. SelectHealth: Increase the percentage of SelectHealth members with diabetes who meet four measures of diabetes care: blood sugar control, cholesterol control, kidney function, and eye exam. 10. Surgical Services: A three-part goal that reduces blood utilization, defines clinical outcome measures for specific development teams, and develops and implements a standardized process to decrease intracase supply utilization. Intracase utilization means the processes or units of care used within each health episode. 11. Women and Newborns: Improve care, cost efficiency, and resource utilization in the neonatal intensive care unit (NICU), and accurately estimate the number of babies with early onset bacterial infection. 12. Primary Children’s Hospital: Increase the involvement of infectious disease specialists in decisions to use outpatient antibiotic therapy via infusion, injection, or implantation. 13. Rural Facilities: Implement electronic physician orders to guide evidence-based care for patients with the primary diagnosis of pneumonia, labor induction, pancreatitis, and sepsis. 14. CMS Value-Based Purchasing: The Hospital Value-Based Purchasing (VBP) Program is a Centers for Medicare & Medicaid Services (CMS) initiative that rewards hospitals with incentive payments for the quality of care they provide to people covered by Medicare. The focuses for Intermountain’s goal in this area are to: ● Attain a significant improvement in the value-based purchasing process and outcome domains for select measures. ● Sustain progress for those hospitals that already meet or exceed national benchmarks. 50Thank you, Intermountain web site
  • 51. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright © 2014 Health Catalyst www.healthcatalyst.comCreative Commons Copyright In Conclusion 51
  • 52. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright How Do You Become An Analytics “Leader”?  Lead Past Competing Interests • Balance the tension of care delivery, economic risk, affordability of care, and accessibility to care… all under one CEO  Take Risk • Take risks, on their own, with new care delivery models and population health… no government mandates required  Consistently Practice Principle-Driven Decisions • Do the right thing for patients and their communities, even at the risk of financial loss in a fee-for-service environment  Value Data Over Ego & Anecdote • Have the courage to face the truth of data • Data drives their decisions, not anecdotes and hunches  Motivate through Mastery, Autonomy, and Purpose • Recognize what motivates people and organizations 52
  • 53. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Thank You Upcoming Educational Opportunities Healthcare Transformation Series: Chapter Seven Date: September 4, 1-2pm, EST Presenter: Dr. John Haughom, Senior Advisor, Health Catalyst http://www.healthcatalyst.com/knowledge-center/webinars-presentations Healthcare Analytics Summit Join top healthcare professionals for a high-powered analytics summit using analytics to drive an engaging experience with renowned leaders who are on the cutting edge of healthcare using data-driven methods to improve care and reduce costs. Date: September 24th-25th Location: Salt Lake City, Utah Save the Date: http://www.healthcatalyst.com/news/healthcare-analytics-summit-2014
  • 54. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright © 2014 Health Catalyst www.healthcatalyst.com Transforming Healthcare Through Analytics Provide a tangible vision of healthcare analytics Leading keynote speakers Engage the audience with analytics in a unique way Hands-on learning experiences Interactive audience engagement, optimized for teams User and special interest group follow up Provide meaningful networking opportunities Share Health Catalyst vision, products, roadmaps Have Fun Access to a mobile app will be used for audience response and participation in real time. Group-wide and individual analytic insights will be shared throughout the summit, resulting in a more substantive, engaging experience while demonstrating the power of analytics. hasummit.com Billy Beane General Manager Oakland A’s Glen D. Steele, MD, PhD President and CEO Geisinger Health System Ray Kurzweil Director of Engineering Google and Leading Futurist James Merlino, MD Chief Experience Officer Cleveland Clinic Penny Wheeler President and Chief Clinical Officer Allina Health Charles Macias, MD, MPH Chief Clinical Integration Systems Office Texas Children’s Hospital Governor Mike Leavitt Former Secretary of HHS Founder of Leavitt Partners Ms. Lizette Yearwood, JP Chief Executive Officer Cayman Islands Health Service Authority (HAS) Keynote Speakers
  • 55. © 2014 Health Catalyst www.healthcatalyst.com Creative Commons Copyright Q&A, Contact Information dale.sanders@healthcatalyst.com @drsanders 55