Targeting towards the health and human services communities, this presentation covers the importance of a data-driven culture, how to identify areas where data can be used to innovate and how to recognize the operational processes you must have in place to fully utilize your data.

1. Creating a
Data Driven
Organization

2. Learning Objectives
• Define what it means to be data-driven
• The importance of data to
the success of their organization
• Identify areas where data can be
used to innovate through A/B testing
Creating a Data Driven
Organization

3. Learning Objectives
• Recognize the operational processes they
must have in place to fully utilize their data
• In turn, this will enhance:
• Revenue
• Compliance with regulations
• Employee training
• Strategic planning
• Consumer-based health outcomes
Creating a Data
Driven Organization

4. What Does It
Mean to be Data
Driven?

5. Having reports and dashboards does not
simply make you data driven.
Being data driven requires a data culture.
Creating a Data
Driven Organization

6. • Data environments in the healthcare landscape
are growing exponentially
• Collection strategies are becoming outdated
before they’re implemented
• Rules and regulations are always changing
• Healthcare organizations struggle to develop
standardized data collection and evaluation
processes across all departments
Creating a Data
Driven Organization
Challenges:

7. 1. Data is everyone's business
2. Data is a corporate asset
3. Everything that can be measured,
must be measured
4. What can’t be measured, can’t be improved
Creating a Data
Driven Organization
Before organizations can begin to cultivate an
environment where data can thrive, they must
first understand certain truths about data:

8. Committing to Continuous
Improvement Through Data
To find your
greatest assets
Identify the
areas that impact
your success
Creating a Data
Driven Organization

9. Committing to Continuous
Improvement Through Data
• Value-based purchasing has
caused assets to be more
contingent upon each other,
such assets include:
• Clinical
• Finance
• Operations
• Community
• Making it important
to measure and
improve their
individual metrics.
Creating a Data Driven
Organization

10. To commit to continuous
improvement through
data, you must first
consider
the following questions…

11. Step One:
Can you answer these
6 questions about your
organization’s data?
Creating a Data
Driven Organization

12. 1. What was the source of your data?
2. How well does the sample data
represent the population?
3. Does your data distribution include
outliers? How did they affect the results?
Creating a Data
Driven Organization

13. 4. What assumptions are behind your analysis?
Might certain conditions render your assumptions
and your model invalid?
5. Why did you decide on that particular analytical
approach? What alternatives did you consider?
6. How likely is it that the independent variables are
actually causing the changes in the dependent
variable? Might other analyses establish causality
more clearly?
Creating a Data
Driven Organization

14. Step Two:
Is your operation
built to be data-
driven?
Creating a Data
Driven Organization

15. Upon definitively answering the
previous questions, your
organization must have proper
operational processes in place
to utilize the data to its full
advantage when making decisions.
Creating a Data
Driven Organization

16. Data-oriented mindsets and
infrastructure support metrics
• Important at the leadership level, everything your
organization accomplishes must be measured and
reported.
Data is centralized and organized
• Quality data culture is reliant on information being
visible to other programs within your organization
which allows leaders to see the data landscape as a
whole.
Creating a Data
Driven Organization

17. Policies govern data access.
• When basing decisions off data, processes must be in
place to determine who can access and change the
information.
Data access is layered.
• Everyone in your organization should have metrics that
support overall goals. Visibility into the status of these
metrics serve support to the greater goal.
Analytics are integrated into tools.
• Key metrics need to be integrated into your organization’s
primary system rather than an independent application.
Creating a Data
Driven Organization

18. Once you have answered
these questions, view the
following video for
additional advice on
operational processes to
build a data culture.
Creating a Data
Driven Organization

19. Creating an Organizational
Data Strategy
Sharing knowledge is power:
• In an industry that demands higher quality of care,
improved outcomes and lower costs - data can truly move
the meter.
• Access to complex data is essential to define a data
strategy
• This will help manage and utilize the information to both
the organization and industry’s advantage.
Creating a Data
Driven Organization

20. Consider the seven principles
of an effective organizational
data strategy to help improve
care and make better
decisions:
Creating a Data
Driven Organization

21. Creating a Data Driven
Organization

22. Creating an Organizational Data Strategy
Having a data strategy is
only half the battle:
• Everyone needs visibility of key
metrics and serve to support the
greater goal
• This means hiring key people with a
certain set of skills to help advance
the organization in the right
direction
Creating a Data Driven
Organization

23. According to a study done
by Black Book Marketing
Research in 2015, the most
sought after skills for C-
Suite level health care staff
were:
Creating a Data
Driven Organization

25. If you're in the market to hire
a C-suite level employee,
consider the following skill sets
for front line staff in your
organization:
Creating a Data
Driven Organization

27. Creating an Organizational
Data Strategy
• Once you have the right individuals in place,
you must focus on building team synergy.
• To avoid a disconnect focus on:
• Interactions
• Committing to a purpose
• Providing clear and consistent communication
• Practicing active listening and trust building
Creating a Data
Driven Organization

28. If all of these
principles are
put in place,
your data will
truly have an
environment
where it
can thrive!
Creating a Data Driven
Organization

29. Innovating Through
Experimentation

30. Innovating Through
Experimentation
• A/B testing is a
simple way to test
alternative strategies
against traditional ones
and determines which
version produces the
best results.
Opportunities to
Use A/B Testing
• Reducing no-shows
• Improving collections
• Clinical workflows
• Fundraising campaigns
Creating a Data Driven
Organization

31. Innovating Through
Experimentation

32. Culture is the integrated pattern of
human behavior that includes thought,
speech, action, and artifacts and
depends on man’s capacity for
learning and transmitting knowledge
to succeeding generations.”
- Webster’s New Collegiate Dictionary
Creating a Data
Driven Organization

33. In order to be successful:
• Don’t be afraid to share any findings you have
• You must have an open, sharing culture and reduce
any information silos that are already in place
Creating a Data
Driven Organization

34. Innovating Through
Experimentation

35. Democratize Your Data:
• Leveraging data and the expertise of your team,
along with communication between
departments, to move from gut to data-driven
decision making
Data is a corporate asset:
• To remain an asset, your employees should know
what data to leverage and where to find it
Creating a Data
Driven Organization

36. To fully democratize your organization and its
data, be sure to have the correct tools in place:
• An Electronic Health Record (EHR) platform
• Sharepoint
• Wiki
• Business documents
• Collaboration tools such as Slack, Invision or Trello
Creating a Data
Driven Organization

37. Innovating Through
Experimentation

38. Do You Have A HiPPO Culture?
• The “Highest paid person’s opinion” culture
Large bureaucracy vs. nimble startup
• “If we have data, let’s look at data. If all we have are
opinions, let’s go with mine.”
Prioritize the work
• “That’s a very interesting and smart idea of yours.
Let’s take it offline so that I can learn more…”
Creating a Data
Driven Organization

39. Not sure where to start?
Creating a Data
Driven Organization

40. Behavioral Health Knowledge and
Barriers to Knowledge Sharing
First you must take a look at the most
common areas that can hinder
knowledge sharing:
• Individual
• Organizational
• Technological
Creating a Data
Driven Organization

41. Next, take a look at some of the most common
Behavioral Health knowledge areas that require
data:
• Workflows and business processes
• Payers and related rules
• Intimate knowledge of clients
• Clinical practices and preferences
Creating a Data
Driven Organization
Behavioral Health Knowledge and
Barriers to Knowledge Sharing

42. Finally:
• If you need to, start small.
• Examine key areas and continually
work on ways to leverage your data.
• Remember, what can't be measured, can't be
improved.
Creating a Data
Driven Organization
Behavioral Health Knowledge and
Barriers to Knowledge Sharing

43. Metrics need to be tied to strategy
and should be:
• Easy to understand
• Have actionable outcomes
• Comparable
• Showcase rates/ratios
Creating a Data
Driven Organization
Behavioral Health Knowledge and
Barriers to Knowledge Sharing

44. Summary
Becoming a data driven organization is
a long, hard journey. But it is inevitable
that we become data driven, for survival
and success.
Let’s start the journey with small steps we
can commit to today.
Creating a Data
Driven Organization

45. Summary
Steps to becoming a data-driven organization:
Commit to data and lead by example in the following ways:
1. Make being data driven a strategic priority
2. Seek data in your decision-making
3. Commit to being a data champion
and/or hiring a data champion
4. Invest in an analytics organization
Creating a Data
Driven Organization