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Analysts Surf the Tsunami of
Healthcare Data
January 9, 2019
John Wadsworth
Senior Vice President, Health Catalyst
• 3 Surfing Principles
• Analytic Application in Healthcare
• Lessons Learned
Agenda
2
© 2018
Health
Catalyst
3
• Explore the human elements of a great analyst
• Re-frame the role of technology in analysis
• Highlight the knowledge required to maximize the value of the
healthcare analyst role
Learning Objectives
© 2018
Health
Catalyst
4
Oahu – South Shore Dec 2017
© 2018
Health
Catalyst
5
I remember it like this…
© 2018
Health
Catalyst
6
Pipeline Masters – Dec 2017
© 2018
Health
Catalyst
Three Surfing Principles
7
Shift 20:1 Position
© 2018
Health
Catalyst
Principle #1: Understand the Shifting Environment
8
Environmental
factors affect
waves
Waves shifted
dramatically
with time
Surfers adapt
to changing
conditions
© 2018
Health
Catalyst
Principle #2: No, No, No.… Yes
9
1:20 ratio of
waves passed
vs. waves
ridden.
Good.
Better.
Best.
© 2018
Health
Catalyst
Principle #3: Get Good at Getting Into Position
10
Fitness is a mustAlways
moving to
be ready Could read the
shifting environment
and position
accordingly
© 2018
Health
Catalyst
Three Principles for Analysts
11
Shift 20:1 Position
© 2018
Health
Catalyst
Analyst Principle #1: Understand the Shifting
Healthcare Environment
12
External factors
affect health
systems
At-risk contracting,
reimbursement
models, evidence-
based medicine
Analysis
should
inform
strategy
© 2018
Health
Catalyst
Analyst Principle #2: No, No, No…. Yes
13
Regardless of
title… not all
ideas are good
ideas
Good.
Better.
Best.
© 2018
Health
Catalyst
Analyst Principle #2: No, No, No…. Yes
14
Answering pre-anticipated
questions. Tells what happened.
Analytics from integrated data sources.
Highlights gaps between current state and
best practices.
Coupling of technical expertise and
domain knowledge. Illuminates the ‘why’
behind results. Discovers new paths for
future improvements.
Reactive
Descriptive
Prescriptive
AnalyticValue
Technical Skill + Contextual Understanding
© 2018
Health
Catalyst
Analyst Principle #3: Get Good at Getting Into Position
15
Technical
proficiency is a
must.
Where should
we position the
health system?
What are the skills
and knowledge to get
into such a position?
© 2018
Health
Catalyst
Lead With “What Problems Need to be Solved?”
16
Tools
Technical
Skills
Healthcare
Data
Healthcare
Operations
© 2018
Health
Catalyst
Example Play
1. HOE POM MICK HAIR
2. EYE SEED DENY NOR TEN CODEINE
3. YOU SHOE WOOLS US PECKS
4. EGGS EGG YOU TIFFED EASE IS SHUN
It’s Not What You Say, But What They Hear…
17
© 2018
Health
Catalyst
1. Obama care
2. ICD9 or 10 coding
3. Usual suspects
4. Executive decision
How many did you get right?
Answers
18
© 2018
Health
Catalyst
19
What can we learn
from this exercise?
© 2018
Health
Catalyst
As an analyst working with your customer/business unit, how often have
you found yourself saying one thing but your customer is hearing
something different?
1. Never — 1%
2. Infrequently — 19%
3. Somewhat frequently — 56%
4. Frequently — 22%
5. Almost all the time… — 3%
Poll Question #1
20
© 2018
Health
Catalyst
Shift, 20:1, and Position Within a Diabetes Registry
21
Technology
• Data ingestion
and integration
platform
• Data
relationships
• Statistical
modeling
• Dashboards and
KPIs
• AI and NLP
Skills
• Data query
• Data movement
• Data modeling
• Data analysis
• Data visualization
Healthcare Data
• ICD codes
• CPT codes
• Rx orders
• Rx fills
• Lab order
• Lab result
• Vitals
• Problem list
Healthcare
Operations
• Acute care
• Primary care
• Population
health
• Risk-based
contracting
© 2018
Health
Catalyst
SHIFT  Understanding Business Drivers
22
Technology
• Data ingestion
and integration
platform
• Data
relationships
• Statistical
modeling
• Dashboards and
KPIs
• AI and NLP
Skills
• Data query
• Data movement
• Data modeling
• Data analysis
• Data visualization
Healthcare Data
• ICD codes
• CPT codes
• Rx orders
• Rx fills
• Lab order
• Lab result
• Vitals
• Problem list
Healthcare
Operations
• Acute care
• Primary care
• Population
health
• Risk-based
contracting
© 2018
Health
Catalyst
Example: Type-2 Diabetes Population Health Initiative
23
1. Primary Dx of diabetes on inpatient encounter
2. Primary Dx of diabetes on ED encounter
3. Dx of diabetes on outpatient visit
4. Hemoglobin A1c lab result > 8.0
5. Diabetes on current problem list within EMR
6. Rx insulin orders and fills
7. EXCLUDE gestational diabetes encounters
Rules Data Sources
 EMR, claims
 EMR, claims
 EMR, claims
 EMR, lab
 EMR
 EMR, Rx, claims
 EMR
© 2018
Health
Catalyst
20:1  Data-Driven Rules of Cohort Inclusion
24
Technology
• Data ingestion
and integration
platform
• Data
relationships
• Statistical
modeling
• Dashboards and
KPIs
• AI and NLP
Skills
• Data query
• Data movement
• Data modeling
• Data analysis
• Data visualization
Healthcare Data
• ICD codes
• CPT codes
• Rx orders
• Rx fills
• Lab order
• Lab result
• Vitals
• Problem list
Healthcare
Operations
• Acute care
• Primary care
• Population
health
• Risk-based
contracting
© 2018
Health
Catalyst
25
© 2018
Health
Catalyst
Position  Contextual Application of Technical Skills
26
Technology
• Data ingestion
and integration
platform
• Data
relationships
• Statistical
modeling
• Dashboards and
KPIs
• AI and NLP
Skills
• Data query
• Data movement
• Data modeling
• Data analysis
• Data visualization
Healthcare Data
• ICD codes
• CPT codes
• Rx orders
• Rx fills
• Lab order
• Lab result
• Vitals
• Problem list
Healthcare
Operations
• Acute care
• Primary care
• Population
health
• Risk-based
contracting
© 2018
Health
Catalyst
Reach for the Right Tools
27
Technology
• Data ingestion
and integration
platform
• Data
relationships
• Statistical
modeling
• Dashboards and
KPIs
• AI and NLP
Skills
• Data query
• Data movement
• Data modeling
• Data analysis
• Data visualization
Healthcare Data
• ICD codes
• CPT codes
• Rx orders
• Rx fills
• Lab order
• Lab result
• Vitals
• Problem list
Healthcare
Operations
• Acute care
• Primary care
• Population
health
• Risk-based
contracting
© 2018
Health
Catalyst
Learn SQL?
28
© 2018
Health
Catalyst
Which of these skills or knowledge deserves more training/education?
1. Leveraging data query for outcomes improvement — 8%
2. Leveraging data modeling for outcomes improvement — 18%
3. Leveraging data analysis for outcomes improvement — 27%
4. Leveraging healthcare data for outcomes improvement — 31%
5. Leveraging healthcare operations for outcomes improvement — 16%
Poll Question #2
29
© 2018
Health
Catalyst
30
You’re Not Just an Analyst…
© 2018
Health
Catalyst
• Develop skills and knowledge to support improvement in healthcare.
• Understanding the business needs will help you better position the
organization for the opportunities ahead.
• Technology accelerates but doesn’t supplant the 5 key data skills
knowledge and value.
• Leaders  Invest in education for analysts to grow deeper into
healthcare data and operations understanding.
Key Learnings and Recommendations
31
Q&A
John Wadsworth
Senior Vice President, Professional Services
john.wadsworth@healthcatalyst.com
Thank You!

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Analysts Surf the Tsunami of Healthcare Data

  • 1. Analysts Surf the Tsunami of Healthcare Data January 9, 2019 John Wadsworth Senior Vice President, Health Catalyst
  • 2. • 3 Surfing Principles • Analytic Application in Healthcare • Lessons Learned Agenda 2
  • 3. © 2018 Health Catalyst 3 • Explore the human elements of a great analyst • Re-frame the role of technology in analysis • Highlight the knowledge required to maximize the value of the healthcare analyst role Learning Objectives
  • 4. © 2018 Health Catalyst 4 Oahu – South Shore Dec 2017
  • 7. © 2018 Health Catalyst Three Surfing Principles 7 Shift 20:1 Position
  • 8. © 2018 Health Catalyst Principle #1: Understand the Shifting Environment 8 Environmental factors affect waves Waves shifted dramatically with time Surfers adapt to changing conditions
  • 9. © 2018 Health Catalyst Principle #2: No, No, No.… Yes 9 1:20 ratio of waves passed vs. waves ridden. Good. Better. Best.
  • 10. © 2018 Health Catalyst Principle #3: Get Good at Getting Into Position 10 Fitness is a mustAlways moving to be ready Could read the shifting environment and position accordingly
  • 11. © 2018 Health Catalyst Three Principles for Analysts 11 Shift 20:1 Position
  • 12. © 2018 Health Catalyst Analyst Principle #1: Understand the Shifting Healthcare Environment 12 External factors affect health systems At-risk contracting, reimbursement models, evidence- based medicine Analysis should inform strategy
  • 13. © 2018 Health Catalyst Analyst Principle #2: No, No, No…. Yes 13 Regardless of title… not all ideas are good ideas Good. Better. Best.
  • 14. © 2018 Health Catalyst Analyst Principle #2: No, No, No…. Yes 14 Answering pre-anticipated questions. Tells what happened. Analytics from integrated data sources. Highlights gaps between current state and best practices. Coupling of technical expertise and domain knowledge. Illuminates the ‘why’ behind results. Discovers new paths for future improvements. Reactive Descriptive Prescriptive AnalyticValue Technical Skill + Contextual Understanding
  • 15. © 2018 Health Catalyst Analyst Principle #3: Get Good at Getting Into Position 15 Technical proficiency is a must. Where should we position the health system? What are the skills and knowledge to get into such a position?
  • 16. © 2018 Health Catalyst Lead With “What Problems Need to be Solved?” 16 Tools Technical Skills Healthcare Data Healthcare Operations
  • 17. © 2018 Health Catalyst Example Play 1. HOE POM MICK HAIR 2. EYE SEED DENY NOR TEN CODEINE 3. YOU SHOE WOOLS US PECKS 4. EGGS EGG YOU TIFFED EASE IS SHUN It’s Not What You Say, But What They Hear… 17
  • 18. © 2018 Health Catalyst 1. Obama care 2. ICD9 or 10 coding 3. Usual suspects 4. Executive decision How many did you get right? Answers 18
  • 19. © 2018 Health Catalyst 19 What can we learn from this exercise?
  • 20. © 2018 Health Catalyst As an analyst working with your customer/business unit, how often have you found yourself saying one thing but your customer is hearing something different? 1. Never — 1% 2. Infrequently — 19% 3. Somewhat frequently — 56% 4. Frequently — 22% 5. Almost all the time… — 3% Poll Question #1 20
  • 21. © 2018 Health Catalyst Shift, 20:1, and Position Within a Diabetes Registry 21 Technology • Data ingestion and integration platform • Data relationships • Statistical modeling • Dashboards and KPIs • AI and NLP Skills • Data query • Data movement • Data modeling • Data analysis • Data visualization Healthcare Data • ICD codes • CPT codes • Rx orders • Rx fills • Lab order • Lab result • Vitals • Problem list Healthcare Operations • Acute care • Primary care • Population health • Risk-based contracting
  • 22. © 2018 Health Catalyst SHIFT  Understanding Business Drivers 22 Technology • Data ingestion and integration platform • Data relationships • Statistical modeling • Dashboards and KPIs • AI and NLP Skills • Data query • Data movement • Data modeling • Data analysis • Data visualization Healthcare Data • ICD codes • CPT codes • Rx orders • Rx fills • Lab order • Lab result • Vitals • Problem list Healthcare Operations • Acute care • Primary care • Population health • Risk-based contracting
  • 23. © 2018 Health Catalyst Example: Type-2 Diabetes Population Health Initiative 23 1. Primary Dx of diabetes on inpatient encounter 2. Primary Dx of diabetes on ED encounter 3. Dx of diabetes on outpatient visit 4. Hemoglobin A1c lab result > 8.0 5. Diabetes on current problem list within EMR 6. Rx insulin orders and fills 7. EXCLUDE gestational diabetes encounters Rules Data Sources  EMR, claims  EMR, claims  EMR, claims  EMR, lab  EMR  EMR, Rx, claims  EMR
  • 24. © 2018 Health Catalyst 20:1  Data-Driven Rules of Cohort Inclusion 24 Technology • Data ingestion and integration platform • Data relationships • Statistical modeling • Dashboards and KPIs • AI and NLP Skills • Data query • Data movement • Data modeling • Data analysis • Data visualization Healthcare Data • ICD codes • CPT codes • Rx orders • Rx fills • Lab order • Lab result • Vitals • Problem list Healthcare Operations • Acute care • Primary care • Population health • Risk-based contracting
  • 26. © 2018 Health Catalyst Position  Contextual Application of Technical Skills 26 Technology • Data ingestion and integration platform • Data relationships • Statistical modeling • Dashboards and KPIs • AI and NLP Skills • Data query • Data movement • Data modeling • Data analysis • Data visualization Healthcare Data • ICD codes • CPT codes • Rx orders • Rx fills • Lab order • Lab result • Vitals • Problem list Healthcare Operations • Acute care • Primary care • Population health • Risk-based contracting
  • 27. © 2018 Health Catalyst Reach for the Right Tools 27 Technology • Data ingestion and integration platform • Data relationships • Statistical modeling • Dashboards and KPIs • AI and NLP Skills • Data query • Data movement • Data modeling • Data analysis • Data visualization Healthcare Data • ICD codes • CPT codes • Rx orders • Rx fills • Lab order • Lab result • Vitals • Problem list Healthcare Operations • Acute care • Primary care • Population health • Risk-based contracting
  • 29. © 2018 Health Catalyst Which of these skills or knowledge deserves more training/education? 1. Leveraging data query for outcomes improvement — 8% 2. Leveraging data modeling for outcomes improvement — 18% 3. Leveraging data analysis for outcomes improvement — 27% 4. Leveraging healthcare data for outcomes improvement — 31% 5. Leveraging healthcare operations for outcomes improvement — 16% Poll Question #2 29
  • 31. © 2018 Health Catalyst • Develop skills and knowledge to support improvement in healthcare. • Understanding the business needs will help you better position the organization for the opportunities ahead. • Technology accelerates but doesn’t supplant the 5 key data skills knowledge and value. • Leaders  Invest in education for analysts to grow deeper into healthcare data and operations understanding. Key Learnings and Recommendations 31
  • 32. Q&A John Wadsworth Senior Vice President, Professional Services john.wadsworth@healthcatalyst.com