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E-raamat: Big Data and Ethics: The Medical Datasphere

(Senior Consultant and Assosciate Researcher, Keosys, Saint Herblain, France)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 21-Jul-2016
  • Kirjastus: ISTE Press Ltd - Elsevier Inc
  • Keel: eng
  • ISBN-13: 9780081010624
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Big Data and Ethics: The Medical DatasphereSuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 21-Jul-2016
  • Kirjastus: ISTE Press Ltd - Elsevier Inc
  • Keel: eng
  • ISBN-13: 9780081010624
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Faced with the exponential development of Big Data and both its legal and economic repercussions, we are still slightly in the dark concerning the use of digital information. In the perpetual balance between confidentiality and transparency, this data will lead us to call into question how we understand certain paradigms, such as the Hippocratic Oath in medicine. As a consequence, a reflection on the study of the risks associated with the ethical issues surrounding the design and manipulation of this “massive data? seems to be essential. This book provides a direction and ethical value to these significant volumes of data. It proposes an ethical analysis model and recommendations to better keep this data in check. This empirical and ethico-technical approach brings together the first aspects of a moral framework directed toward thought, conscience and the responsibility of citizens concerned by the use of data of a personal nature.

  • Defines Big Data applications in health
  • Presents the ethical value of the medical datasphere via the description of a model of an ethical analysis of Big Data
  • Provides the recommendations and steps necessary for successful management and governance of personal health data
  • Helps readers determine what conditions are essential for the development of the study of Big Data

Muu info

This book discusses the phenomena associated with the exponential digitization of medical data and how it has led to a transformation of the practice of medicine, also providing the tools necessary for ethical reflection on the development, implementation, and use of healthy mega data.
Acknowledgements vii
Foreword ix
Introduction xi
Chapter 1 The Shift towards a Connected, Assessed and Personalized Medicine Centered Upon Medical Datasphere Processing
1(96)
1.1 The digital gap and the medical paradigm shift
2(9)
1.2 The medical datasphere and its ecosystem
11(43)
1.2.1 Medicine 4.0
14(12)
1.2.2 The "Quantified Self and Small Data
26(11)
1.2.3 Open Data
37(4)
1.2.4 Clinical research based upon medical Big Data
41(13)
1.3 Issues surrounding the medical info-sphere
54(43)
1.3.1 The economic market for Big Data
55(7)
1.3.2 The ethical risks of using data
62(12)
1.3.3 The law and regulation around personal health data
74(23)
Chapter 2 Ethical Development of the Medical Datasphere
97(70)
2.1 From the study of risks to the translation of ethical issues in the medical datasphere
100(26)
2.1.1 The ethical systemic Neo-Platonic modeling (Ψ, G, Φ) of complex data
101(4)
2.1.2 The process of technical-technical guidance
105(15)
2.1.3 Identifying relationships between the two ontologies
120(6)
2.2 The selective ranking of health data
126(32)
2.2.1 The architecture of medical data
126(18)
2.2.2 Ethical Data Mining
144(4)
2.2.3 Ethical evaluation of medical Big Data
148(10)
2.3 Algorithmic ethics - the vital lead in personalized medicine
158(9)
Chapter 3 Management and Governance of Personal Health Data
167(70)
3.1 Data governance and processing algorithms
167(7)
3.2 The environmental digital ecosystem
174(33)
3.2.1 Regulatory and organizational aspects
178(5)
3.2.2 Relational and cultural aspects
183(7)
3.2.3 Structural and technological aspects
190(6)
3.2.4 Strategic and methodological aspects
196(11)
3.3 The data lifecycle: collection, processing and quality control
207(14)
3.4 Towards a controlled regulation of the medical datasphere
221(9)
3.5 Can medicine remain human?
230(7)
Conclusion 237(6)
Appendices 243(2)
Appendix 1 Advantages of Big Data Technologies According to Data Sources and Stakeholders 245(2)
Appendix 2 Issues Involving a Data Management Platform (DMP) 247(2)
Appendix 3 Evaluation Criteria on the Ethical Evaluation of Personal Health Data 249(6)
Appendix 4 OECD Guideline Principles Governing the Security of the Systems and Information Networks 255(6)
Glossary 261(6)
Bibliography 267(20)
Index 287
Jérôme Béranger is a senior consultant and associate researcher for Keosys. His research focuses on ethics and the sociology of information systems intended for e-health, m-health and Big Data.
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