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Big data in medical science and healthcare management

LANGKAFEL, Peter

Big data in medical science and healthcare management Diagnosis, therapy, side effects / [online] : Peter Langkafel - Berlin: De Gruyter, 2016 - 1 resursă online (280 p.)

Frontmatter Autopilot and “Doctor Algorithm”? Contents 1. Intro Big Data for healthcare? 2. Information management for systems medicine – on the next digital threshold 3. Some philosophical thoughts on Big Data 4. Big Data from a health insurance company’s point of view 5. Big Data and the Family Doctor 6. How value is created from data: Experiences from the integrated health care system, “Gesundes Kinzigtal” (Healthy Kinzigtal) 7. Ethics 8. The new data :Supported quality assurance of the federal joint committee: Opportunities and challenges 9. Big Data in healthcare: Fields of application and benefits of SAP technologies 10. Big Data : More risks than benefits for healthcare? 11. Big Data : An efficiency boost in the healthcare sector 12. Medical big data and data protection 13. Big data in healthcare from a business consulting (Accenture) point of view 14. Influence of big pharma on edicine, Logistics and data technology in a State of transition 15. Semantics and big data semantic methods for data processing and searching large amounts of data 16. Quantified self, wearable technologies and personal data 17. “For the benefit of the patient” ... What does the patient say to that? 18. Visualization – What does big data actually look like? 19. The digital patient? Publisher and index of authors Glossary Testimonials

9783110445749




DE-Medicină



Biblioteca Universității "Dunărea de Jos" din Galați

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