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© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
c
Develop Your Analysts,
and They’ll Pay for
Themselves
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Today’s Agenda
2
• Culture - An environment fostering improvement
• Processes – Improvement, not perfection
• Skillsets - Cultivate the right skills
• Involvement – Don’t minimize the analyst role
• Barriers – Getting in and out of the way
© 2015 Health Catalyst
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Proprietary and Confidential
Poll Question #1
If you could hire only one analyst, would you
pick: 97 respondents
3
0% 10% 20% 30% 40% 50% 60%
c) A visualization guru
b) A data wizard
a) A domain expert
Webinar Responses
a. A domain expert - 21%
b. A data wizard - 54%
c. A visualization guru - 24%
HAS15 responses
© 2015 Health Catalyst
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What do we mean by “analyst”?
4
Multiple terms…
Encompassing the same skills…
• Architects
• Business Intelligence Developers
• Analysts
• Nerds
• Talking to and manipulating data
• SQL, ETL, modeling, etc.
• Analyzing and communicating results
• Excel, visualization tools, domain expertise, etc.
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Culture
An environment fostering improvement
5
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Motivating with value and purpose
6
• Dan Pink – “What Motivates Us”
• Autonomy- The desire to be self directed
• Mastery- The urge to get better at stuff
• Purpose
Sources: RSA Animate, adapted from Dan Pink's talk at the RSA – “Drive: The surprising truth about what motivates us”
© 2015 Health Catalyst
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Proprietary and Confidential
Purpose
7
“It doesn’t make sense to hire smart people and tell them
what to do. We hire smart people to tell us what to do.”
-Steve Jobs
ADOPTIONANALYTICSANALYSTS
© 2015 Health Catalyst
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ADOPTION OUTCOMES
IMPROVEMENT
BEST PRACTICES
ANALYTICS
© 2015 Health Catalyst
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Proprietary and Confidential
9
The role of an analyst is
outcomes improvement
not “building a dashboard”
© 2015 Health Catalyst
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Proprietary and Confidential
Processes
Fail fast
10
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
11
If data surfaced showing a provider’s dismal
performance, how comfortable would you be presenting
the data in a meeting with that provider present?
0% 10% 20% 30% 40% 50%
e) I'd call in sick
d) I'd hide the provider
names
c) Depends on the provider
b) Slightly comfortable
a) Very comfortable
HAS Attendee
Analyst
Poll Question #2
Webinar responses
a. 29%
b. 18%
c. 34%
d. 18%
e. 1%
130 respondents
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Analytics are still scary
12
1. You need a baseline
2. Analysts are the “messengers”
3. Errors are part of the process
Sources: Adapted from various ideas taught by Alistair Cockburn and Martin Fowler – see alistair.cockburn.us and www.thoughtworks.com
But remember:
Agile Development = Trouble Detector
Bad news
is
good news
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Failing Slow
13
The “Right”
Answer?
FailureFailure
Where interest
and momentum
go to die
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Failing Fast
14
The Best
Answer
FailureFailure
Don’t rob your
analyst of
opportunities to
develop
© 2015 Health Catalyst
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Proprietary and Confidential
15
The answer you find through failure is usually
different and more useful
than the one you find avoiding it
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Skillsets
Cultivate the right skills
16
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
17
Does this look familiar?
Building some
crappy report for
somebody.
You?
Just waiting on
some crappy
report.
Cool. Cool.
Data Architect Visualization
Specialist
Wall Wall End User
Hey, what are
you guys doing?
What are you
doing over
there?
© 2015 Health Catalyst
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Proprietary and Confidential
18
Data Architect
Outcomes Analyst
Business Intelligence
Starting knowledge by role…
Data Architecture Visualizations
Analytics
(applying technical results to clinical work)
Data Architect
Outcomes Analyst
Business Intelligence
… to long term knowledge by role
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Questions to start…
19
- What are the skills of your analysts?
0
1
2
3
4
5
SQL ETL Data Modeling BI/Dev Data Analysis
Senior Staff Associate
- Where does the team “sit”?
© 2015 Health Catalyst
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Proprietary and Confidential
Why a “generalist”?
20
• Job satisfaction in diversity of work
• Match data model, functionality, and visualizations to the
user request
ANALYTICS END USERSDATA MODELDATA
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
21
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Building skillsets
22
Hire soft skills
• Smart, hardworking, humble
Inch towards usefulness
• Resources for basic training
• Dummy projects, exercises, training modules along the way
• Contribute small pieces to real projects
© 2015 Health Catalyst
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Proprietary and Confidential
Visual story telling
It is easy to make things hard to understand
23
Simple tools but
profound insights
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
The most important question
24
Should I use a pie chart?
Yes
No
Sources: Adapted from comedy writer David Thorne – http://www.27bslash6.com/
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Involvement
Don’t minimize the analyst role
25
© 2015 Health Catalyst
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26
Think of furnishing a room…
© 2015 Health Catalyst
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Proprietary and Confidential
27
But sometimes we ask the same
thing of our analysts…
“Here’s a spreadsheet of the metrics we need. Now go, be free, and
build us an awesome dashboard”
34. Metric
35. Metric
36. Metric
37. Metric
38. Metric
39. Metric
40. Metric
41. Metric
42. Metric
43. Metric
44. Metric
1. Metric
2. Metric
3. Metric
4. Metric
5. Metric
6. Metric
7. Metric
8. Metric
9. Metric
10. Metric
11. Metric
12. Metric
13. Metric
14. Metric
15. Metric
16. Metric
17. Metric
18. Metric
19. Metric
20. Metric
21. Metric
22. Metric
23. Metric
24. Metric
25. Metric
26. Metric
27. Metric
28. Metric
29. Metric
30. Metric
31. Metric
32. Metric
33. Metric
© 2015 Health Catalyst
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Proprietary and Confidential
28
Awesome dashboard v1
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
29
Awesome dashboard v2
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
30
Awesome dashboard v3
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
31
What metrics are you dealing
with?
• Accountability
• Measure and adjust to reduce bias
• Obtain 100% of available and relevant data
• Research
• Designed to eliminate bias
• “Just in case” data
• Improvement
• Accept consistent bias
• “Just enough” data, small sequential samples
Source: ”The Health Care Data Guide – Learning from data for improvement”, Lloyd P. Provost, Sandra K. Murray, Page 27, Table 2.1
© 2015 Health Catalyst
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Proprietary and Confidential
Involve, don’t minimize
32
Domain Knowledge
“Snowflake Method”
1. Goal
1. Aim
2. Aim
3. Aim
1. Metric
2. Metric
3. Metric
4. Metric
Curiosity + Passion = Value
UserStories
Sources: Adapted from Randy Ingermanson’s “Snowflake Method” for Designing a Novel – http://www.advancedfictionwriting.com
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
33
Example sepsis “snowflake”
• Goal: Improve early recognition of Sepsis in the
emergency department
• Aim 1: Increase compliance for routine sepsis
screening protocol
• Metric 1: Compliance by location/provider/shift
• Metric 2: Time from arrival to triage
• Metric 3: Mortality rate of screened vs unscreened
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
34
Example revenue cycle user
story
As a Patient Access Manager
I want to ensure patient registration, service authorization
and insurance verification
So that there are no delays in billing, loss of revenue or
patient dissatisfaction
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
35
Do you want metrics
or
smart people using data to think about your problems?
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Barriers
Getting in and out of the way
36
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Barriers to data
37
• Full access to a testing environment
• …an EDW
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Barriers to data
How hard can it be to gather the data for analytics?
38
Non value-add Value-add
Understanding the question
Hunting for data
Interpreting data
Data distribution
Gather, compiling or running
Weak Analytic SystemStrong Analytic System
Understanding the question
Hunting for data
Interpreting data
Data distribution
Gather, compiling or running
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Other barriers
39
• Access to people
• Kill any “ghosties” haunting your analyst
• Work prioritization
• Technology
“Do I have slow analysts or slow computers?”
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Lessons Learned
40
• Culture – The analyst’s role is outcomes improvement
• Process – Encourage failing fast
• Skillsets – Develop the “generalist”
• Involvement – Applications are not just a technical
problem
• Barriers – Make it easy for them to do their job
© 2015 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential
Thank
You
41

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Develop Your Analysts and They'll Pay for Themselves

  • 1. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential c Develop Your Analysts, and They’ll Pay for Themselves
  • 2. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Today’s Agenda 2 • Culture - An environment fostering improvement • Processes – Improvement, not perfection • Skillsets - Cultivate the right skills • Involvement – Don’t minimize the analyst role • Barriers – Getting in and out of the way
  • 3. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Poll Question #1 If you could hire only one analyst, would you pick: 97 respondents 3 0% 10% 20% 30% 40% 50% 60% c) A visualization guru b) A data wizard a) A domain expert Webinar Responses a. A domain expert - 21% b. A data wizard - 54% c. A visualization guru - 24% HAS15 responses
  • 4. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential What do we mean by “analyst”? 4 Multiple terms… Encompassing the same skills… • Architects • Business Intelligence Developers • Analysts • Nerds • Talking to and manipulating data • SQL, ETL, modeling, etc. • Analyzing and communicating results • Excel, visualization tools, domain expertise, etc.
  • 5. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Culture An environment fostering improvement 5
  • 6. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Motivating with value and purpose 6 • Dan Pink – “What Motivates Us” • Autonomy- The desire to be self directed • Mastery- The urge to get better at stuff • Purpose Sources: RSA Animate, adapted from Dan Pink's talk at the RSA – “Drive: The surprising truth about what motivates us”
  • 7. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Purpose 7 “It doesn’t make sense to hire smart people and tell them what to do. We hire smart people to tell us what to do.” -Steve Jobs ADOPTIONANALYTICSANALYSTS
  • 8. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential ADOPTION OUTCOMES IMPROVEMENT BEST PRACTICES ANALYTICS
  • 9. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 9 The role of an analyst is outcomes improvement not “building a dashboard”
  • 10. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Processes Fail fast 10
  • 11. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 11 If data surfaced showing a provider’s dismal performance, how comfortable would you be presenting the data in a meeting with that provider present? 0% 10% 20% 30% 40% 50% e) I'd call in sick d) I'd hide the provider names c) Depends on the provider b) Slightly comfortable a) Very comfortable HAS Attendee Analyst Poll Question #2 Webinar responses a. 29% b. 18% c. 34% d. 18% e. 1% 130 respondents
  • 12. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Analytics are still scary 12 1. You need a baseline 2. Analysts are the “messengers” 3. Errors are part of the process Sources: Adapted from various ideas taught by Alistair Cockburn and Martin Fowler – see alistair.cockburn.us and www.thoughtworks.com But remember: Agile Development = Trouble Detector Bad news is good news
  • 13. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Failing Slow 13 The “Right” Answer? FailureFailure Where interest and momentum go to die
  • 14. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Failing Fast 14 The Best Answer FailureFailure Don’t rob your analyst of opportunities to develop
  • 15. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 15 The answer you find through failure is usually different and more useful than the one you find avoiding it
  • 16. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Skillsets Cultivate the right skills 16
  • 17. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 17 Does this look familiar? Building some crappy report for somebody. You? Just waiting on some crappy report. Cool. Cool. Data Architect Visualization Specialist Wall Wall End User Hey, what are you guys doing? What are you doing over there?
  • 18. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 18 Data Architect Outcomes Analyst Business Intelligence Starting knowledge by role… Data Architecture Visualizations Analytics (applying technical results to clinical work) Data Architect Outcomes Analyst Business Intelligence … to long term knowledge by role
  • 19. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Questions to start… 19 - What are the skills of your analysts? 0 1 2 3 4 5 SQL ETL Data Modeling BI/Dev Data Analysis Senior Staff Associate - Where does the team “sit”?
  • 20. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Why a “generalist”? 20 • Job satisfaction in diversity of work • Match data model, functionality, and visualizations to the user request ANALYTICS END USERSDATA MODELDATA
  • 21. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 21
  • 22. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Building skillsets 22 Hire soft skills • Smart, hardworking, humble Inch towards usefulness • Resources for basic training • Dummy projects, exercises, training modules along the way • Contribute small pieces to real projects
  • 23. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Visual story telling It is easy to make things hard to understand 23 Simple tools but profound insights
  • 24. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential The most important question 24 Should I use a pie chart? Yes No Sources: Adapted from comedy writer David Thorne – http://www.27bslash6.com/
  • 25. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Involvement Don’t minimize the analyst role 25
  • 26. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 26 Think of furnishing a room…
  • 27. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 27 But sometimes we ask the same thing of our analysts… “Here’s a spreadsheet of the metrics we need. Now go, be free, and build us an awesome dashboard” 34. Metric 35. Metric 36. Metric 37. Metric 38. Metric 39. Metric 40. Metric 41. Metric 42. Metric 43. Metric 44. Metric 1. Metric 2. Metric 3. Metric 4. Metric 5. Metric 6. Metric 7. Metric 8. Metric 9. Metric 10. Metric 11. Metric 12. Metric 13. Metric 14. Metric 15. Metric 16. Metric 17. Metric 18. Metric 19. Metric 20. Metric 21. Metric 22. Metric 23. Metric 24. Metric 25. Metric 26. Metric 27. Metric 28. Metric 29. Metric 30. Metric 31. Metric 32. Metric 33. Metric
  • 28. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 28 Awesome dashboard v1
  • 29. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 29 Awesome dashboard v2
  • 30. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 30 Awesome dashboard v3
  • 31. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 31 What metrics are you dealing with? • Accountability • Measure and adjust to reduce bias • Obtain 100% of available and relevant data • Research • Designed to eliminate bias • “Just in case” data • Improvement • Accept consistent bias • “Just enough” data, small sequential samples Source: ”The Health Care Data Guide – Learning from data for improvement”, Lloyd P. Provost, Sandra K. Murray, Page 27, Table 2.1
  • 32. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Involve, don’t minimize 32 Domain Knowledge “Snowflake Method” 1. Goal 1. Aim 2. Aim 3. Aim 1. Metric 2. Metric 3. Metric 4. Metric Curiosity + Passion = Value UserStories Sources: Adapted from Randy Ingermanson’s “Snowflake Method” for Designing a Novel – http://www.advancedfictionwriting.com
  • 33. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 33 Example sepsis “snowflake” • Goal: Improve early recognition of Sepsis in the emergency department • Aim 1: Increase compliance for routine sepsis screening protocol • Metric 1: Compliance by location/provider/shift • Metric 2: Time from arrival to triage • Metric 3: Mortality rate of screened vs unscreened
  • 34. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 34 Example revenue cycle user story As a Patient Access Manager I want to ensure patient registration, service authorization and insurance verification So that there are no delays in billing, loss of revenue or patient dissatisfaction
  • 35. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential 35 Do you want metrics or smart people using data to think about your problems?
  • 36. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Barriers Getting in and out of the way 36
  • 37. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Barriers to data 37 • Full access to a testing environment • …an EDW
  • 38. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Barriers to data How hard can it be to gather the data for analytics? 38 Non value-add Value-add Understanding the question Hunting for data Interpreting data Data distribution Gather, compiling or running Weak Analytic SystemStrong Analytic System Understanding the question Hunting for data Interpreting data Data distribution Gather, compiling or running
  • 39. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Other barriers 39 • Access to people • Kill any “ghosties” haunting your analyst • Work prioritization • Technology “Do I have slow analysts or slow computers?”
  • 40. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Lessons Learned 40 • Culture – The analyst’s role is outcomes improvement • Process – Encourage failing fast • Skillsets – Develop the “generalist” • Involvement – Applications are not just a technical problem • Barriers – Make it easy for them to do their job
  • 41. © 2015 Health Catalyst www.healthcatalyst.com Proprietary and Confidential Thank You 41