UID:
almafu_9958354328902883
Format:
1 online resource (290p.)
ISBN:
9783110445749
Content:
Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of digital information is growing exponentially and can only be handled with IT technologies. This book provides the new possibilities of networked data analysis and Big Data – for and within medical science and healthcare management.
Note:
Frontmatter --
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Autopilot and “Doctor Algorithm”? --
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Contents --
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1. Intro Big Data for Healthcare? --
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2. Information Management for Systems Medicine – on the Next Digital Threshold --
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3. Some Philosophical Thoughts on Big Data --
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4. Big Data from a Health Insurance Company’s Point of View --
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5. Big Data and the Family Doctor --
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6. How Value is Created from Data: Experiences from the Integrated Health Care System, “Gesundes Kinzigtal” (Healthy Kinzigtal) --
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7. Ethics --
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8. The New Data-Supported Quality Assurance of the Federal Joint Committee: Opportunities and Challenges --
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9. Big Data in Healthcare: Fields of Application and Benefits of SAP Technologies --
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10. Big Data – More Risks than Benefits for Healthcare? --
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11. Big Data – An Efficiency Boost in the Healthcare Sector --
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12. Medical Big Data and Data Protection --
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13. Big Data in Healthcare from a Business Consulting (Accenture) Point of View --
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14. Influence of Big Pharma on Medicine, Logistics and Data Technology in a State of Transition --
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15. Semantics and Big Data Semantic Methods for Data Processing and Searching Large Amounts of Data --
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16. Quantified Self, Wearable Technologies and Personal Data --
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17. “For the Benefit of the Patient” ... What Does the Patient Say to That? --
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18. Visualization – What Does Big Data Actually Look Like? --
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19. The Digital Patient? --
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Publisher and Index of Authors --
,
Glossary --
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Testimonials
Additional Edition:
ISBN 978-3-11-044528-2
Language:
English
DOI:
10.1515/9783110445749
URL:
https://doi.org/10.1515/9783110445749
URL:
https://doi.org/10.1515/9783110445749
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