bde sc1 workshop 3 - bigmedilytics overview (supriyo chatterjea)

Supriyo ChatterjeaData Science, Philips Research

13-Dec 2017

BigMedilyticsBig Data for Medical Analytics

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

We strive to make the world healthier and more sustainable through innovation

We’re aiming to improve the lives of

3 billionpeople a year

by 2025

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

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 GDPChronic diseases result in loss of 3.4million potential productive years; equivalent to €115 billion annually

Healthcare sector: 10% of EU’s GDPEU-28’s total healthcare spending: €1.39 trillion





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:







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









Creates more opportunities to focus on healthy living and prevention







Extract knowledge from already existing large amounts of generated medical dataBig Data: Medical data currently estimated around 1 Zettabyte (152 Million years, UHD, 8K video)

Creates more opportunities to focus on healthy living and prevention

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!

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.

Approach

Maximize impact

What are the key disease groups that will have the greatest burdens on society in the years to come?

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

Approach

Maximize impact


Temporal aspect? The trajectory of a patient.

Healthcare continuum

THEME 3: Industrialization of healthcare

THEME 1: Population Health & Chronic Disease Management

THEME 2: Oncology

Approach

Maximize impact



What are the (tech/non-tech) hurdles preventing us from transforming healthcare?

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

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

LegalEthics

Business Model Innovation

Scale concepts across Europe

Approach

Maximize impact




What are the key industries/ (experienced!!) companies that can help improve Healthcare in Europe?

BigMedilytics35 partners across 12 countries

Healthcare providersIncliva (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/ITPhilips (NL)IBM (IL)ATOS (ES)Huawei (DE)Optimedis (DE)

PayersAXA (FR)Achmea (NL)AOK (DE)

Research InstitutesDFKI (DE)ITI (ES)TNO (NL)NCSR-D (GR)VTT (FI)HPI (DE)

SMENissatech (RS)MymHealth (UK)

UniversitiesTU/e (NL)UPM (ES)iBMG (NL)Uni. Of Southampton (UK)LUH (DE)

PharmaAstraZeneca (UK)

SMEsNissatech (RS)MyMHealth (UK)ContextFlow (A)ATC (GR)

Approach

Maximize impact




How can we make sure that our concepts scale?

BigMedilytics12 pilots across 3 themes

BigMedilytics Pilots

Population Health & ChronicDisease Management

WP2 Leader: Incliva

OncologyWP3 Leader: Philips

Industrializing Healthcare ServicesWP4 Leader: Philips

1. ComorbiditiesPilot Leader: Incliva

3. DiabetesPilot Leader: Huawei

5. Heart FailurePilot Leader: EMC

2. Kidney DiseasePilot Leader: Charite

4. COPD/AsthmaPilot Leader: Southampton

5. Heart FailurePilot Leader: EMC

6. Prostate cancerPilot Leader: Philips

7. Lung cancerPilot Leader: NCSR-D

8. Breast cancerPilot Leader: IBM

Hyper-AcuteWorkflows

12. RadiologyWorkflows

11. Asset ManagementPilot Leader: OLVG

9. StrokePilot Leader: ETZ

10. SepsisPilot Leader: Incliva

Pilot Leader: ContextFlow

Approach

Maximize impact






Availability of data and platforms

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 IoTconnected devices at more than a million records per hour

Patient generated data from mobile apps

Flexible architecture

Approach

Maximize impact







How can we leave behind a lasting legacy?

Best practices

Technology

Health Policy& Regulatory

Businessmodels

Approach

Maximize impact







How can we leave behind a lasting legacy?

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

Pilot descriptionsPilot 1: Comorbidities

Primary care Secondary care

5 million patientsmonitored over a 5-year period

Low risk

High risk

Pilot Leader: Incliva, ES

Pilot descriptionsPilot 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

Pilot descriptionsPilot 9: Stroke workflows

Integrated data Derive workflows

Pilot Leader: Elisabeth TweeSteden Ziekenhuis, NL

EMR

Lab

Staff

Real-time Location

Predict workflow performance