Overview of the BigMedilytics project presented at BDE SC1 Workshop 3, 13 December, 2017. https://www.big-data-europe.eu/the-final-big-data-europe-workshop/ https://www.iit.demokritos.gr/project/bigmedilytics

1. Supriyo Chatterjea
Data Science, Philips Research
13-Dec 2017
BigMedilytics
Big Data for Medical Analytics

2. The founding fathers of Philips
Frederik Gerard Anton
Philips, a born innovator
For over 125 years,
we have been
improving people’s
lives with a steady
flow of ground-
breaking innovations

3. We strive to make the world
healthier and more sustainable
through innovation
We’re aiming to improve the lives of
3 billion
people a yearby 2025

4. At Philips, we take a
holistic view of people’s
health journeys,
starting with healthy living
and prevention, precision
diagnosis and personalized
treatment, through to care
in the home – where the
cycle to healthy living
begins again.
Ready to take on the healthcare challenge
Healthy living Prevention Diagnosis Treatment Home care
Connected care and health informatics

5. Aging populations and
the rise of chronic
illnesses
DigitizationIncreasing consumer
engagement
Global resource
constraints
Four profound trends are shaping
the future of health technology
In 2060 Healthcare sector: 30% of EU’s GDP
Chronic diseases result in loss of 3.4million
potential productive years; equivalent to €115
billion annually
Healthcare sector: 10% of EU’s GDP
EU-28’s total healthcare spending: €1.39 trillion

6. Aging populations and
the rise of chronic
illnesses
DigitizationIncreasing consumer
engagement
Global resource
constraints
Four profound trends are shaping
the future of health technology
Healthcare sector: 10% of EU’s GDP
EU-28’s total healthcare spending: €1.39 trillion
In 2060 Healthcare sector: 30% of EU’s GDP
Chronic diseases result in loss of 3.4million
potential productive years; equivalent to €115
billion annually

7. Aging populations and
the rise of chronic
illnesses
DigitizationIncreasing consumer
engagement
Global resource
constraints
Four profound trends are shaping
the future of health technology
Quality
Cost Access
Quality: Determined by efficacy, value and
efficiency
Access: Those who can receive care when
needed
Cost: Actual expense of patient care
Effectiveness of healthcare system:
Healthcare sector: 10% of EU’s GDP
EU-28’s total healthcare spending: €1.39 trillion
In 2060 Healthcare sector: 30% of EU’s GDP
Chronic diseases result in loss of 3.4million
potential productive years; equivalent to €115
billion annually

8. Aging populations and
the rise of chronic
illnesses
DigitizationIncreasing consumer
engagement
Global resource
constraints
Four profound trends are shaping
the future of health technology
Quality
Cost Access
Quality: Determined by efficacy, value and
efficiency
Access: Those who can receive care when
needed
Cost: Actual expense of patient care
Effectiveness of healthcare system:
Productivity
Healthcare sector: 10% of EU’s GDP
EU-28’s total healthcare spending: €1.39 trillion
In 2060 Healthcare sector: 30% of EU’s GDP
Chronic diseases result in loss of 3.4million
potential productive years; equivalent to €115
billion annually

9. Aging populations and
the rise of chronic
illnesses
DigitizationIncreasing consumer
engagement
Global resource
constraints
Four profound trends are shaping
the future of health technology
Healthcare sector: 10% of EU’s GDP
EU-28’s total healthcare spending: €1.39 trillion
In 2060 Healthcare sector: 30% of EU’s GDP
Chronic diseases result in loss of 3.4million
potential productive years; equivalent to €115
billion annually
Creates more opportunities to focus on healthy
living and prevention

10. Aging populations and
the rise of chronic
illnesses
DigitizationIncreasing consumer
engagement
Global resource
constraints
Four profound trends are shaping
the future of health technology
Healthcare sector: 10% of EU’s GDP
EU-28’s total healthcare spending: €1.39 trillion
In 2060 Healthcare sector: 30% of EU’s GDP
Chronic diseases result in loss of 3.4million
potential productive years; equivalent to €115
billion annually
Extract knowledge from already existing large
amounts of generated medical data
Big Data: Medical data currently estimated
around 1 Zettabyte (152 Million years, UHD, 8K
video)
Creates more opportunities to focus on healthy
living and prevention

11. Focus: Not on development of state-of-the-art
algorithms. Instead focus on improving productivity
of Healthcare sector by applying and adapting state-
of-the-art Big Data techniques/algorithms.
Big Data PPP: Large Scale Pilot actions in sectors
best benefitting from data-driven innovation
Opportunity to demonstrate how Europe’s Healthcare sector can be
transformed in order to meet the changing needs of her citizens.
Technology isn’t the only thing that matters! Understanding all the
needs of the sector are the key to success!

12. BigMedilytics aims to use state-of-the-art Big Data
technologies in order to improve the productivity
of the Healthcare sector by at least 20%, by
reducing cost to the patient, improving quality
through better patient outcomes and delivering
better access – simultaneously.

13. Approach
Maximize
impact
What are the key disease groups that
will have the greatest burdens on
society in the years to come?

14. Percentage of deaths from non-communicable
diseases in Europe
Cardiovascular
disease
Cancer
Kidney disease
Diabetes
Respiratory disease
Neuropsychiatric
conditions
Digestive diseases
Oral conditions
Other (e.g. injury)
59%
19%
BigMedilytics covers all the major
disease groups in Europe which
cause 78% of the deaths:
• Cardiovascular disease
• Cancer
• Breast cancer
• Lung cancer
• Prostate cancer
• Chronic respiratory disease
• Diabetes
• Kidney disease
• Comorbidities
2 themes
Population Health
& Chronic Disease Management
Oncology

15. Approach
Maximize
impact
What are the key disease groups that
will have the greatest burdens on
society in the years to come?
Temporal aspect? The trajectory of a
patient.

16. Healthcare continuum
THEME 3: Industrialization of healthcare
THEME 1: Population Health & Chronic Disease Management
THEME 2: Oncology

17. Approach
Maximize
impact
What are the key disease groups that
will have the greatest burdens on
society in the years to come?
Temporal aspect? The trajectory of a
patient.
What are the (tech/non-tech)
hurdles preventing us from
transforming healthcare?

18. Challenges: Technical/non-technical
Enabling collaborative innovation across
all key players in the Healthcare and Data
Value Chains
• Patients
• Healthcare Providers
• Payers
• Vendors (Medical diagnostics and
Services, Pharmaceuticals, HealthcareIT)
• Knowledge Institutions

19. Challenges: Technical/non-technical
Enabling collaborative innovation across
all key players in the Healthcare and Data
Value Chains
• Patients
• Healthcare Providers
• Payers
• Vendors (Medical diagnostics and
Services, Pharmaceuticals, HealthcareIT)
• Knowledge Institutions
Legal
Ethics
Business Model
Innovation
Scale
concepts
across
Europe

20. Approach
Maximize
impact
What are the key disease groups that
will have the greatest burdens on
society in the years to come?
Temporal aspect? The trajectory of a
patient.
What are the (tech/non-tech)
hurdles preventing us from
transforming healthcare?
What are the key industries/
(experienced!!) companies
that can help improve
Healthcare in Europe?

21. BigMedilytics
35 partners across 12 countries
Healthcare providers
Incliva (ES)
Karolinska (SE)
ErasmusMC (NL)
Rotunda Hospital (IE)
P. Hierro Hospital (ES)
Charite (DE)
OLVG (NL)
ETZ (NL)
Essen Hospital (DE)
Curie (FR)
MUW (A)
HealthTech/IT
Philips (NL)
IBM (IL)
ATOS (ES)
Huawei (DE)
Optimedis (DE)
Payers
AXA (FR)
Achmea (NL)
AOK (DE)
Research Institutes
DFKI (DE)
ITI (ES)
TNO (NL)
NCSR-D (GR)
VTT (FI)
HPI (DE)
SME
Nissatech (RS)
MymHealth (UK)
Universities
TU/e (NL)
UPM (ES)
iBMG (NL)
Uni. Of Southampton (UK)
LUH (DE)
Pharma
AstraZeneca (UK)
SMEs
Nissatech (RS)
MyMHealth (UK)
ContextFlow (A)
ATC (GR)

22. Approach
Maximize
impact
What are the key disease groups that
will have the greatest burdens on
society in the years to come?
Temporal aspect? The trajectory of a
patient.
What are the (tech/non-tech)
hurdles preventing us from
transforming healthcare?
How can we make
sure that our
concepts scale?

23. BigMedilytics
12 pilots across 3 themes
BigMedilytics Pilots
Population Health & Chronic
Disease Management
WP2 Leader: Incliva
Oncology
WP3 Leader: Philips
Industrializing Healthcare Services
WP4 Leader: Philips
1. Comorbidities
Pilot Leader: Incliva
3. Diabetes
Pilot Leader: Huawei
5. Heart Failure
Pilot Leader: EMC
2. Kidney Disease
Pilot Leader: Charite
4. COPD/Asthma
Pilot Leader: Southampton
5. Heart Failure
Pilot Leader: EMC
6. Prostate cancer
Pilot Leader: Philips
7. Lung cancer
Pilot Leader: NCSR-D
8. Breast cancer
Pilot Leader: IBM
Hyper-Acute
Workflows
12. Radiology
Workflows
11. Asset Management
Pilot Leader: OLVG
9. Stroke
Pilot Leader: ETZ
10. Sepsis
Pilot Leader: Incliva
Pilot Leader:
ContextFlow

24. Approach
Maximize
impact
What are the key disease groups that
will have the greatest burdens on
society in the years to come?
Temporal aspect? The trajectory of a
patient.
What are the (tech/non-tech)
hurdles preventing us from
transforming healthcare?
What are the key industries/
(experienced!!) companies
that can help improve
Healthcare in Europe?
How can we make
sure that our
concepts scale?
Availability of data
and platforms

25. Characteristics of datasets
Health records of more than
11 million patients across
8 countries in Europe
• Clinical data
• Medical images
• Laboratory data
• Prescription data
• Claims data
Streaming data from IoT
connected devices at more
than a million records per
hour
Patient generated data from
mobile apps

26. Flexible architecture

27. Approach
Maximize
impact
What are the key disease groups that
will have the greatest burdens on
society in the years to come?
Temporal aspect? The trajectory of a
patient.
What are the (tech/non-tech)
hurdles preventing us from
transforming healthcare?
What are the key industries/
(experienced!!) companies
that can help improve
Healthcare in Europe?
How can we make
sure that our
concepts scale?
Availability of data
and platforms
How can we leave
behind a lasting
legacy?

28. Best practices
Technology
Health Policy
& Regulatory
Business
models

29. Approach
Maximize
impact
What are the key disease groups that
will have the greatest burdens on
society in the years to come?
Temporal aspect? The trajectory of a
patient.
What are the (tech/non-tech)
hurdles preventing us from
transforming healthcare?
What are the key industries/
(experienced!!) companies
that can help improve
Healthcare in Europe?
How can we make
sure that our
concepts scale?
Availability of data
and platforms
How can we leave
behind a lasting
legacy?

30. Network of 104 partners
• Workshops with External Exploitation
Partners
• Demonstrate early stage pilots and test
feasibility for all three themes
• Gather feedback from External
Exploitation partners
• Collaborate with External Exploitation
partners to test concepts on a larger
scale throughout Europe

31. Pilot descriptions
Pilot 1: Comorbidities
Primary care Secondary care
5 million patients
monitored over a 5-year period
Low risk
High risk
Pilot Leader: Incliva, ES

32. Pilot descriptions
Pilot 5: Prostate cancer
Integrated data
Derive treatment
and VBHC related
quality outcome
measures
Pilot Leader: Philips, NL
Radiology
Urology
Pathology
Financial
(Diagnostics+
Treatment)
Predict outcome
after primary
intervention

33. Pilot descriptions
Pilot 9: Stroke workflows
Integrated data Derive workflows
Pilot Leader: Elisabeth TweeSteden Ziekenhuis, NL
EMR
Lab
Staff
Real-time
Location
Predict workflow
performance