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Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig Menschen in der Medizin?

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Algorithms vs. Doctors: Will Humans Be Replaced by Algorithms in Medicine Soon?

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Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig Menschen in der Medizin?

  1. 1. Algorithms vs. Doctors: Will Humans Be Replaced by Algorithms in Medicine Soon? Dr.-Ing. Matthieu-P. Schapranow F.A.Z. Summit: Health Meets Future Oct 12, 2017
  2. 2. ■  Germany: 4,213 EUR per capita or 11.3 % of GDP in 2015 Facts You Should Know: Costs for Healthcare Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 2 Source: OECD Health Statistics 2016, Eurostat Database, WHO, Global Health Expenditure Database, Destatis
  3. 3. ■  2016 CHARISMHA study of the BMG revealed >100k health apps available □  Prevention: Adequate use of apps can support prevention □  Medical use: Quality issues if not licensed as medicine product □  Research: Uses mobile apps for acquisition of data ■  Medical Informatics Initiative of the German Ministry of Education and Research (BMBF) Digitalization Is The Way to Go, Isn’t It? Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 3
  4. 4. That Is The Reality Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 4 http://www.startribune.com/how-pokemon-go-went-from-prank-to-phenomenon/387900342/ Anadolu Agency | Getty Images
  5. 5. Medical Doctor’s about Health Apps Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 5
  6. 6. Use Case: Personal Medical Avatar Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 6
  7. 7. Use Case: Personal Medical Avatar Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 7 http://www.medicalavatar.com
  8. 8. Myth: Only The Younger Generation Wants to Use Digital Services Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 8 Source: McKinsey Digital Patient Survey 2014
  9. 9. Myth: Citizens Are Not Interested in Digital Healthcare Services Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 9 Source: McKinsey Digital Patient Survey 2014
  10. 10. ■  Radiologists are highly paid medical experts, but we still lack capacities Use Case: Tissue Segmentation Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 10 Peters et al.: Breast tissue segmentation and mammographic risk scoring using deep learning, 2014
  11. 11. ■  Radiologists are highly paid medical experts, but we still lack capacities Use Case: Tissue Segmentation Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 11 Peters et al.: Breast tissue segmentation and mammographic risk scoring using deep learning, 2014
  12. 12. Use Case: Tissue Segmentation Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 12
  13. 13. Use Case: Tissue Segmentation Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 13
  14. 14. What Do Citizens Ask For? Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 14 Source: Vodafone Inst. for Society and Commun., Big Data Survey, 2016
  15. 15. ■  Holistic access to your personal health record ■  Subscribe to personalized notifications, e.g. about latest healthcare programs and clinical trials ■  Donate your de-identified healthcare data to support registered research projects all over the globe Use Case: Data Donation Pass Control Your Personal Health Data Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 15
  16. 16. ■  Holistic access to your personal health record ■  Subscribe to personalized notifications, e.g. about latest healthcare programs and clinical trials ■  Donate your de-identified healthcare data to support registered research projects all over the globe Use Case: Data Donation Pass Control Your Personal Health Data Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 16
  17. 17. Citizen GesundheitsCloud Citizens Control Their Personal Health Data Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 17 Personal Healthcare Data Secure Data Storage Practices Granted Apps Wearables Latest Diagnostics App Store Data Integration Data Donation Research Hospitals Health Insurances Routine Data Personal Insights Algorithms Real-time Data Analysis
  18. 18. Medical Doctor’s Opinion Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 18
  19. 19. We Have The Choice… “McCoy” ■  Personal empathy ■  Builds on life-long experience ■  Reacts more flexible in most extreme situations ■  Uses technology as medical assistance “Doctor” ■  Flexible working times 24/7 ■  Performs routine tasks at constant quality and high throughput ■  Uses humans as technology assistance Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 19 http://www.startrek.com/
  20. 20. …But We Need to Hurry! “McCoy” ■  Personal empathy ■  Builds on life-long experience ■  Reacts more flexible in most extreme situations ■  Uses technology as medical assistance “Doctor” ■  Flexible working times 24/7 ■  Performs routine tasks at constant quality and high throughput ■  Uses humans as technology assistance Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 20 http://www.startrek.com/
  21. 21. Stay in Contact! Dr.-Ing. Matthieu-P. Schapranow Program Manager E-Health & Life Sciences Hasso Plattner Institute August-Bebel-Str. 88 14482 Potsdam, Germany schapranow@hpi.de https://we.analyzegenomes.com/ Dr.-Ing. Schapranow, FAZ Summit, Oct 12, 2017 Algorithms vs. Doctors 21

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