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BDE SC1 Workshop 3 - BigMedilytics Overview (Supriyo Chatterjea)

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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

Published in: Healthcare
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BDE SC1 Workshop 3 - BigMedilytics Overview (Supriyo Chatterjea)

  1. 1. Supriyo Chatterjea Data Science, Philips Research 13-Dec 2017 BigMedilytics Big Data for Medical Analytics
  2. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 13. Approach Maximize impact What are the key disease groups that will have the greatest burdens on society in the years to come?
  14. 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. 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. 16. Healthcare continuum THEME 3: Industrialization of healthcare THEME 1: Population Health & Chronic Disease Management THEME 2: Oncology
  17. 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. 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. 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. 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. 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. 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. 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. 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. 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. 26. Flexible architecture
  27. 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. 28. Best practices Technology Health Policy & Regulatory Business models
  29. 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. 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. 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. 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. 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

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