Zusammenfassung
Paradigm changes regarding organizational, methodological, and technological aspects of health systems lead to paradigm changes for security, privacy, trustworthiness requirements and solutions. This is especially true for personalized, preventive, predictive, and participative health services based on Big Data and Analytics. The paper roughly defines the concepts of Big ...
Zusammenfassung
Paradigm changes regarding organizational, methodological, and technological aspects of health systems lead to paradigm changes for security, privacy, trustworthiness requirements and solutions. This is especially true for personalized, preventive, predictive, and participative health services based on Big Data and Analytics. The paper roughly defines the concepts of Big Data, Analytics, security, privacy and trust, and describes the challenges for security and privacy ecosystems when collecting and deploying massive data volumes from multiple sources in multiple formats for data-driven decision support. Traditional concepts for security and privacy are too rigid for meeting the requirements of an extremely complex, unpredictable and flexible Big Data ecosystem.
Therefore, the consideration of the context of those data and the deployment scenarios as well as the establishment of ethical and fair information principles is inevitable. Context and conditions, expectations and preferences, rules and regulations must be formalized in proper policies. The paper highlights the need for appropriate architectures, infrastructures, and tools, and refers to another contribution in this volume about policy design and representation.
Weitere Literatur (mittels CORE)