Privacy Issues in Big Data in Medicine

Abstract

With the rapid development of machine learning and artificial intelligence, the digital world is generating data at an alarming rate. This big data is bringing life to the development of medicine, from monitoring the safety of drugs, to the allocation of medical resources, to the diagnosis and treatment of complex diseases. But the development of big data also brings many risks and challenges, and it is particularly important to deal with the privacy of the data. Big data in medicine includes biological data, biometric data and e-health data, which are used by multiple organizations such as academia, medical institutions, and government departments. On the one hand, the data is widely used, and on the other hand, the public's idea of data protection is getting stronger and stronger, and many problems have arisen over time. This article concludes from the previous literature that more and more data are being used in an unregulated way and more people think they have lost control over data because of the incomplete aspects of the law and the difficulty for the government to control the level of privacy protection in some cases.