The document discusses whether algorithms will replace doctors in medicine. It notes that healthcare costs are rising significantly. While algorithms and health apps promise benefits like improved prevention, quality issues exist if not regulated as medical products. The document explores various use cases where algorithms already augment doctors, such as automatically segmenting tissues in scans. Citizens increasingly demand digital health services and control over their own data. The conclusion is that algorithms and doctors can work together, with algorithms handling routine tasks and doctors focusing on personal care, if challenges around regulation and data protection are addressed.
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Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig Menschen in der Medizin?
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. ■ 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
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Source: OECD Health Statistics 2016, Eurostat Database, WHO, Global Health Expenditure Database, Destatis
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
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4. That Is The Reality
Dr.-Ing. Schapranow,
FAZ Summit, Oct 12,
2017
Algorithms vs. Doctors
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http://www.startribune.com/how-pokemon-go-went-from-prank-to-phenomenon/387900342/
Anadolu Agency | Getty Images
5. Medical Doctor’s about Health Apps
Dr.-Ing. Schapranow,
FAZ Summit, Oct 12,
2017
Algorithms vs. Doctors
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7. Use Case:
Personal Medical Avatar
Dr.-Ing. Schapranow,
FAZ Summit, Oct 12,
2017
Algorithms vs. Doctors
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http://www.medicalavatar.com
8. Myth: Only The Younger Generation Wants to
Use Digital Services
Dr.-Ing. Schapranow,
FAZ Summit, Oct 12,
2017
Algorithms vs. Doctors
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Source: McKinsey Digital Patient Survey 2014
9. Myth: Citizens Are Not Interested in
Digital Healthcare Services
Dr.-Ing. Schapranow,
FAZ Summit, Oct 12,
2017
Algorithms vs. Doctors
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Source: McKinsey Digital Patient Survey 2014
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
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Peters et al.: Breast tissue segmentation and mammographic risk scoring using deep learning, 2014
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
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Peters et al.: Breast tissue segmentation and mammographic risk scoring using deep learning, 2014
14. What Do Citizens Ask For?
Dr.-Ing. Schapranow,
FAZ Summit, Oct 12,
2017
Algorithms vs. Doctors
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Source: Vodafone Inst. for Society and Commun., Big Data Survey, 2016
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
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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
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17. Citizen
GesundheitsCloud
Citizens Control Their Personal Health Data
Dr.-Ing. Schapranow,
FAZ Summit, Oct 12,
2017
Algorithms vs. Doctors
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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
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
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http://www.startrek.com/
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. 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
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