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大數據時代對於醫療照護影響與 醫療隱私保護之研究.

Authors :
劉宜君
Source :
Journal of Advanced Technology & Management. May2016, Vol. 6 Issue 1, p1-25. 25p.
Publication Year :
2016

Abstract

"Big data" obtains information on public behaviors related to digital devices. Combining such information with existing health data can help predict some points of intervention in long-term health status and non-traditional treatment methods. In addition, it can aid in designing more effective diagnostic tools, preventing diseases, and increasing accessibility. Hence, in the era of interconnectedness, the integration of a health system as well as a huge amount of clinical, financial, social, and environmental data contributes to real-time analysis and patient care. On the other hand, while the health care industry is "blessed" by the advantages of "big data," people have to confront the issue of personal data security and privacy, the harms and threats caused by which are increasingly becoming apparent. Thus, as a large amount of data is exposed via information technology applied to communication tools, a new moral framework for learning in health care must be put forward by the government to ensure patient privacy and ethical standards using the research findings. This study focused on how "big data" impacts medical privacy protection and maintenance as well as the responding measures taken by the government and other stakeholders. The related contents of discussion in this study include the relationship between "big data" and the healthcare industry, the impact of "big data" on the healthcare industry, "big data" as the source of innovation for the healthcare industry, the impact of "big data" on medical privacy, and the responding measures taken by governments around the world. Finally, the study investigates how governments and industries unite to confront the challenge of protecting and maintaining medical privacy in the "big data" era. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
22201424
Volume :
6
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Advanced Technology & Management
Publication Type :
Academic Journal
Accession number :
117874770
Full Text :
https://doi.org/10.3966/222014242016050601001