Core Solutions President Ravi Ganesan along with co-presenter Adam Bauer, Senior Manager at Deloitte, recently spoke about the importance of establishing effective data collection and evaluation processes to better support today’s healthcare organizations. This SlideShare consists of that presentation, which included:  The use of the Digital Transformation Framework  The role of IoT in deciphering automated data  The clinical tools used to demonstrate data value  The implications of visual perception in sharing data

1. Connecting The Dots From
Data To Value
Building Your Business Case in a Value-Based Market
Ravi Ganesan
CEO
Core Solutions, Inc.
Adam Bauer
Senior Manager
Deloitte Consulting

2. Your World Is At Risk
The Urgent Need to Embrace Innovation
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3. Copyright (c) Core Solutions, Inc.
Industry Transformation In Progress
Fragmentation Shakeout Maturity Decline
Time
SalesVolume
Providers: 6,000+
Revenue: $370B
Providers: 15,000
Revenue: $260B
X
7-10 years

4. Your Business Is At Risk For Digital Disruption
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5. 60%+ of Healthcare Organizations Expect Their
Business To Be Disrupted By Digital Technology
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6. Digital Innovation Can Better Prepare You For
Change
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7. Digital Transformation
Digital transformation is the profound and accelerating
transformation of business activities, processes, competencies
and models to fully leverage the changes and opportunities of
digital technologies and their impact across society in a
strategic and prioritized way, with present and future shifts in
mind.
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8. Digital Transformation Framework
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VISION TACTICS Customer Experience
Create a compelling vision
that will allow everyone
to reimagine your
organization as a
technology focused, data
driven startup.
• Help customers to get to
their desired outcomes
• Digitize end to end
customer experience
• Provide better, faster,
cost effective customer
experience
• Cloud Infrastructure
• Data Systems
• Mobility
• Tele Health
• Data Analytics
• IoT

9. Copyright (c) Core Solutions, Inc. https://www2.deloitte.com/us/en/pages/life-sciences-and-health-care/articles/health-care-consumer-engagement.html

10. Copyright (c) Core Solutions, Inc. https://www2.deloitte.com/us/en/pages/life-sciences-and-health-care/articles/health-care-consumer-engagement.html

11. Copyright (c) Core Solutions, Inc. https://www2.deloitte.com/us/en/pages/life-sciences-and-health-care/articles/health-care-consumer-engagement.html

12. Copyright (c) Core Solutions, Inc.
https://www2.deloitte.com/us/en/pages/life-sciences-and-health-care/articles/health-care-consumer-engagement.html

13. What Behavioral Health Customers Want…
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14. Consumer Driven, Recovery Oriented MH System
Copyright (c) Core Solutions, Inc. http://www.mh.alabama.gov/COPI/MediaCenter/COPI70427_WhitePaperConsumerDrivenMHSystem.pdf

15. End To End Transformation Of Consumer Experience
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Traditional Model Digital Model
Inquiry Phone Call Better Website
Online Chat
FAQs
Online admission
Service Delivery Face to Face
Tele Health
Online scheduling
On demand services
Increased tele health
Self help videos
Outcomes Subjective feedback loop Constant feedback loop
through evidence based,
measurable outcome tools
Discharge Robust online alumni
community.

16. IoT
Gain an understanding of the “Internet of Things” (IoT) and its role in collecting and
deciphering automated data.
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17. What is the Internet of Things (IoT)?
• A) A way to describe the proliferation of the Internet
• B) FitBits and iPhones and Alexas and Nests and Garmins and Roombas and…
• C) What those Terminator movies were about
• D) Something else (or all of the above?)
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18. What is the Internet of Things (IoT)?
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19. Internet Ecosystem
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Content
Internet
Translate & Distribute Data
IoT
Create Data
Consumer
Consume Information
Source: http://www.gartner.com/newsroom/id/2636073
Estimated 2020
Proliferation
7.3B Units
26B Units
30x Increase from 2009

20. PEOPLE ANALYTICS
Internet of Things
Internet of Things refers to a world of intelligent, connected devices generating data for use in new services, where the
intelligent devices generate actionable insights or triggers based on input stimuli
Physical devices and objects
intelligently connected
Delivery of the right
information to the right place at
the right time
Connection of people in
more relevant and valuable
ways
Internet of Things (IoT)
combines things,
processes and people
with relevant data
THINGS PROCESS
Individual data streams are
processed and analyzed with
algorithms

21. The IoT and Data Collection
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Active
Manual
Passive
Automatic
Sporadic Continuous
Blood Sampling
External
Epidermal
Ingestible
Tissue-Embedded
Wearables

22. How does this actually work?
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23. Sample IoT Use Cases
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24. Beyond the Episode
• Using large volumes of behavioral data to better understand the
workings of groups and networks is the domain of an emerging,
interdisciplinary field known as computational social science (CSS).
• Computational social scientist Nicholas Christakis summarizes the
perspective that motivates much CSS research: “If you had asked social
scientists even 20 years ago what powers they dreamed of having,
they would have said, ‘It would be unbelievable if we could have this
little tiny Black Hawk helicopter that could be microscopic, fly on top
of you, and monitor where you are and who you’re talking to, what
you’re buying, what you’re thinking, and if it could do this in real time,
all the time, for millions of people, all at the same time. If we could
collect all these data, that would be amazing.’”
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25. “What if something happens?” vs. “What if
something is going to happen?”
• Smart sensor networks can provide remote caregivers real-time insight into
the health and well-being of seniors aging in place.
• Sensor-enabled homes can use machine learning to recognize behavior
patterns such as eating, sleeping, and movement, and identify and report
any signs of illness or cognitive degeneration to caretakers and physicians.
• By some estimates, states can save an average of $9 million per day in
health care costs by making it possible for just 10 percent of the elderly
population to remain in their homes for an additional one to two years.6
Copyright (c) Core Solutions, Inc. Source: http://deloitte.wsj.com/cio/2014/07/28/using-sensor-technology-to-lower-elder-care-costs/

26. Internet of (Some) Things
• A leading health system launched
a pilot for >40,000 diabetic
patients’ glucose readings,
streaming from a monitoring
device to a mobile app on their
phone or tablet, and then to an
integrated big data repository.
• Care coordinators were alerted to
unusual changes in the patient’s
glucose levels so they could take
appropriate action, such as
bringing the patient into the
hospital for closer examination or
adjusting their medications.
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• Start small
• Show viability
• Prove value

27. Evidence Based Clinical Tools
Review several clinical tools that can be used to build and demonstrate data value.
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28. A National Call for Measurement-Based Care in
the Delivery of Behavioral Health Services
All primary care and behavioral health providers treating mental health
and substance use disorders should implement a system of
measurement-based care whereby validated symptom rating
scales are completed by patients and reviewed by clinicians during
encounters. Measurement-based care will help providers determine
whether the treatment is working and facilitate treatment adjustments,
consultations, or referrals for higher intensity services
- Kennedy Forum
http://thekennedyforum-dot-org.s3.amazonaws.com/documents/KennedyForum-MeasurementBasedCare_2.pdf
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29. BH Outcome Measures
http://thekennedyforum-dot-org.s3.amazonaws.com/documents/MBC_supplement.pdf
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30. BH Outcome Measures
http://thekennedyforum-dot-org.s3.amazonaws.com/documents/MBC_supplement.pdf
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31. BH Outcome Measures
http://thekennedyforum-dot-org.s3.amazonaws.com/documents/MBC_supplement.pdf
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32. BH Outcome Measures
http://thekennedyforum-dot-org.s3.amazonaws.com/documents/MBC_supplement.pdfCopyright (c) Core Solutions, Inc.

33. How Our Eyes Think
Thinking like a designer
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34. How Our Eyes Think
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35. Improving Design Through Understanding
https://www.interaction-design.org/literature/article/the-properties-of-human-memory-and-their-importance-for-information-visualization
Sensory
Memory
1-3 Sec
Short
Term
Memory
15-30 Sec
Long Term
Memory
1 sec -
Lifetime
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36. Preattentive Attributes Of Visual Perception
http://www.relationshipone.com/blog/consumable-analytics-steps-to-making-your-dashboards-delicious/
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37. Count The Number of “8”
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38. Count The Number of “8”
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39. Where Are Your Eyes Drawn?
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40. Where Are Your Eyes Drawn?
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41. Applying Lessons From Visual Perception
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Table 2: Percentage of Consumers With Co-
Morbid Conditions
Diabetes 46%
Tobacco Use 39%
Heart Disease 37%
COPD 24%
Heart Disease 16%
Cancer 11%

42. 46%
39%
37%
24%
16%
11%
0% 10% 20% 30% 40% 50%
Diabetes
Tobacco Use
Heart Disease
COPD
Heart Disease
Cancer
Percentage of Consumers With Co-Morbid Conditions
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Applying Lessons From Visual Perception
• Easier to read and see a logical order
• Natural focus on the last row
• Reader loses interest in other rows

43. Copyright (c) Core Solutions, Inc.
Applying Lessons From Visual Perception
11%
16%
24%
37%
39%
46%
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%
Cancer
Heart Disease
COPD
Heart Disease
Tobacco Use
Diabetes
Percentage of Consumers With Co-Morbid Conditions

44. Design Principles
The Fundamental Principles of Analytical Design – Edward Tufte
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45. Fundamental Principles of Analytical Design –
Edward Tufte
1. Comparisons
2. Causality, Mechanism, Structure, Explanation
3. Multivariate Analysis
4. Integration of Evidence
5. Documentation
6. Content, counts most of all
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46. Copyright (c) Core Solutions, Inc.

47. Copyright (c) Core Solutions, Inc.

48. Principle 1: Comparisons
“Visual display, if they are to assist
thinking, should show comparisons.”
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49. Principle 1: Comparisons
1 2
Illustrates size of the grand army along the army’s path1
2 Illustrates size of the grand army returning from Moscow
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50. Applying Principle 1
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105
98
122
103
98
93.1
81 79
60
55 55
47
0
20
40
60
80
100
120
140
0 2 4 6 8 10 12 14
ERVisits
Values represent a comparison of ER visits after pilot program
ER VISITS

51. Principle 2: Causality, Mechanism, Structure,
Explanation
Principles of design should attend to the fundamental intellectual tasks
in the analysis of evidence; thus we have the Second Principle for the
analysis and presentation of data:
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52. Principle 2: Causality, Mechanism, Structure,
Explanation
1
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1 Graph of temperatures suggesting relationship between the size of the returning army and
frigid temperatures

53. Applying Principle 2
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0 2 4 6 8 10 12 14
0
20
40
60
80
100
120
140
0
1
2
3
4
5
6
7
Q1-2014
Q2-2014
Q3-2014
Q4-2014
Q1-2015
Q2-2015
Q3-2015
Q4-2015
Q1-2016
Q2-2016
Q3-2016
Q4-2016
#ERVisits
#PrimaryCarePhysicians
Period
Impact of Integrated Care Program
# PCPs ER VISITS

54. Principle 3: Multivariate Analysis
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1
2
3
4
1 2 3 4 Multiple dimensions/variables displayed in the illustration

55. Applying Principle 3
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0 2 4 6 8 10 12 14
-50
0
50
100
150
200
250
300
0
1
2
3
4
5
6
7
Q1-2014
Q2-2014
Q3-2014
Q4-2014
Q1-2015
Q2-2015
Q3-2015
Q4-2015
Q1-2016
Q2-2016
Q3-2016
Q4-2016
Axis Title
#ERVisits
#PrimaryCarePhysicians
Period
Impact of Integrated Care Program
# PCPs ER VISITS # Smartphones

56. Principle 4: Integration of Evidence
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1
2
3

57. Applying Principle 4
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0 2 4 6 8 10 12 14
-50
0
50
100
150
200
250
300
0
1
2
3
4
5
6
7
Q1-2014
Q2-2014
Q3-2014
Q4-2014
Q1-2015
Q2-2015
Q3-2015
Q4-2015
Q1-2016
Q2-2016
Q3-2016
Q4-2016
Axis Title
#ERVisits
#PrimaryCarePhysicians
Period
Impact of Integrated Care Program
# PCPs ER VISITS # Smartphones
$260K
in
savings

58. Principal 5: Documentation
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59. • “Induce the viewer to think about the substance rather than about
methodology, graphic design, the tech of graphic production, or
something else”
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Principle 6: Content, counts most of all

60. Principle 6: Content, counts most of all
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61. Request For $1M Investment In Integrated Care Program
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-50
0
50
100
150
200
250
300
0
1
2
3
4
5
6
7 Q1-2014
Q2-2014
Q3-2014
Q4-2014
Q1-2015
Q2-2015
Q3-2015
Q4-2015
Q1-2016
Q2-2016
Q3-2016
Q4-2016
#ERVisits
#PrimaryCarePhysicians
Period
Opportunity to save $4.2M over 5 Years
# PCPs ER VISITS # Smartphones
$260K
in
savings
Presented By: John Q, CEO Open Behavioral Health
Data Source: xxxxxxx

62. Open Discussions
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63. Thank You
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