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Privacy in the age of medical big data

2018; Nature Portfolio; Volume: 25; Issue: 1 Linguagem: Inglês

10.1038/s41591-018-0272-7

1546-170X

W. Nicholson Price, I. Glenn Cohen,

Artificial Intelligence in Healthcare and Education

Big data has become the ubiquitous watch word of medical innovation. The rapid development of machine-learning techniques and artificial intelligence in particular has promised to revolutionize medical practice from the allocation of resources to the diagnosis of complex diseases. But with big data comes big risks and challenges, among them significant questions about patient privacy. Here, we outline the legal and ethical challenges big data brings to patient privacy. We discuss, among other topics, how best to conceive of health privacy; the importance of equity, consent, and patient governance in data collection; discrimination in data uses; and how to handle data breaches. We close by sketching possible ways forward for the regulatory system. The increased amount of health care data collected brings with it ethical and legal challenges for protecting the patient while optimizing health care and research.