By: Karsten Russell-Wood, Philips Hospital to Home At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015 www.sils-sherbrooke.com

1. 1
Russell-Wood
Philips HealthTech
September 30, 2015
Transforming Data into Actionable
Knowledge: Methods and Applications to
Support Population Health

2. 2
Objectives
Session Plan
1. Drivers for change in healthcare today
2. Fueling big data
3. Harnessing big data for healthcare
4. Digital technologies transforming healthcare
5. Models of innovation

3. 3
Healthcare today
A time of radical shifts…
Growth in healthcare costs
• Global health systems suffer from inefficiencies that
increase costs and reduce the quality of care that
patients receive. Change has become imperative.
Prevalence of chronic conditions
• As our population ages, providers will care for a rising
numbers of patients with multiple chronic conditions
An aging population
• By 2030, there will be about 72.1 million older
persons, more than twice their number in 2000
Changing payment models
• The era of fee-for-service (US) medicine is coming to
an end

4. 4
Driving Change in Healthcare
Economic & Operational Realities
Care Financing
 Reduction in overall healthcare spend
 Focus on clinical and economic
outcomes
 Deploying solutions that will lower total cost
of care
 Manage patients in the home
Care Support
Hospital
 Technology to alleviate resource constraints
 Combination equipment solutions instead of
stand-alone units
 Reduced budgets
 Shortage of clinicians (RN, Pathologist)
 High patient volume
Care Support
Home
 Technology solutions to alleviate
dependency on RNs and gain patient volume
 Improve overall operational efficiency
 Increased patient volume
 Reduced availability of RNs
 Services which allow for aging at home
including personal support work, clinical
support and safety at home
Consumer
 Aging population
 Fiercely independent
 Empowered to age at home
Source: Booz & Company analysis

5. 5
Fueling Big Data
Industry Applications - Scale
Shipping Industry
Source: http://www.nytimes.com/2014/10/05/business/international/aboard-
a-cargo-colossus-maersks-new-container-ships.html?_r=0
• Represents $20 trillion of freight market
annually
• At any time, 17 million containers are
moving by ship, by train, by truck
Data answers the question of:
• Where am I?
• Am I moving?
• What’s my temperature?
• What’s inside me?

6. 6
Fueling Big Data
Industry Applications - Access
Banking Industry
Source: Info: NYSE history
• Average trading value (NYSE) of $170
billion in 2013
• Online access 24/7 from any device
Anywhere access tells one:
• Stock price
• What’s my balance?
• Any new news
• Statistics

7. 7
Fueling Big Data
Industry Applications - Harmonization
Airline Industry
Source: Info: http://sos.noaa.gov/Datasets/dataset.php?id=44
• On any given day, more than 87,000 flights
are in the sky in the US
• Passengers have access to the same
information to book flights
Consistent tools support:
• Obtain the best price
• Check availability
• Share travel plans

8. 8
Why is Healthcare
Different?

9. 9
Harnessing Big Data in Healthcare
Convergence of Trends
Source: McKinsey, “The Big Data Revolution in Healthcare”
• Legacy of autonomous
decision making
• Under-investment in IT
• Diverse, best in breed
technologies
• Lack of interoperability

10. 10
Variety
• High volume of unstructured
data
• Unusable for traditional
analytics
Veracity
• Being able to trust the data
collected
• User error / corruption affects
value of data
Volume
• Capability of storage
• Safety and security of data for
access
Velocity
• Greater quantity of data
sources
• Streaming real time
Source: IBM: Tapping Big Data for Healthcare Insights
4

11. 11
Translating Data into Knowledge
Supporting Population Health
Myriad patient data needs
to be obtained to create
actionable knowledge
1
2
3
Normalized
data
Data Storage
Provide a simple way to
collect data from all
kinds of systems and
devices
Normalize data for
consistency to be utilized for
analytics, patient engagement
and care coordination
Apply advanced analytics
capabilities to align the right
care to the right patient at
the right time

12. 12
Population Health
Insights, Analytics and Workflow Development

13. 13
Improve the Experience of Care
Supporting a Health Continuum

14. 14
Enterprise Analytics
Hospital to Home Solutions
Acute
• ICU
• General Ward
Ambulatory
• Readmissions
• High cost
management

15. 15
>3m ICU patient stays
Acute Care Analytics
eRI Database
800m lab values 100m med orders 2.8b vital measures

16. 16
Applications of Acute Data
Discharge Readiness Score

17. 17
Moving Care Beyond the Hospital
Connecting Data Solutions
Leveraging Philips HealthSuite Digital
Platform to connect data through
disparate consumer health devices
Normalizing data to be
applied to individual or
population health initiatives

18. 18
Philips CareSage
Beyond Treatment; Prevention
[1] M. Simons; D. Van de Craen; F. Wartena, CMS Patients’ Characteristics Analysis of Healthcare Expenditure: Who are the big spenders?, PR-TN 2013/00056, July 2013,
M. Simons; D. Van de Craen; F. Wartena, R. Koymans, D. Bergmans, CMS Data Analysis of Healthcare Expenditure; Persistently High Cost Patients Flow Analysis, PR-TN 2014/00151, June 2014
Problem
• 25% of elderly patients1 will get substantially more expensive
due to clinical deterioration
• HCOs need to identify at-risk patients in the “white space”
The CareSage predictive analytics
engine is designed to provide insight
into HCO's at-risk patient population
Solution

19. 19
Aligning Patient & Provider
Solutions for Self-Supported Care
• Improving access to patients in the home by care providers
• Improving adherence and persistence in program through engagement
• Integrating smart alerts to support population prioritization
Patient
solutions
Provider
solutions

20. 20
Models of
Innovation

21. 21
Banner Health (Arizona)
Targeting the ‘Superusers’ of Healthcare
 27% reduction in cost of care
 32% reduction in acute and long
term care costs
 45% reduction in hospitalizations
Source: Forbes May 2015

22. 22
West Moreton Hospital (Australia)
A Bold New Partnership
Challenge:
A small percentage of high-acuity
patients are driving the majority of
cost and resource expenditure
Goal:
Identify and map socioeconomic
factors, mindsets, and values to
improve outcomes
“This program aims to transform the current, largely “reactive” model
of care so that we prevent patients from becoming chronically ill”
~ S. McKee, CEO, West Moreton Hospital

23. 23
Key Takeaways
• Leverage health data to
move from treatment to
prevention
• Digital technologies
improve cost, and access
to patient populations
• Population health
approach enables
resource prioritization
and care optimization

24. 24
Thank You
karsten.russell-wood@philips.com