Background Research using data from medical care promises to advance medical science and improve healthcare. Academia is not the only sector that expects such research to be of great benefit. The research-based health industry is also interested in so-called ‘real-world’ health data to develop new drugs, medical technologies or data-based health applications. While access to medical data is handled very differently in different countries, and some empirical data suggest people are uncomfo...| Journal of Medical Ethics
It is widely acknowledged that trust plays an important role for the acceptability of data sharing practices in research and healthcare, and for the adoption of new health technologies such as AI. Yet there is reported distrust in this domain. Although in the UK, the NHS is one of the most trusted public institutions, public trust does not appear to accompany its data sharing practices for research and innovation, specifically with the private sector, that have been introduced in recent years...| BioMed Central
By Dr Jeremy Gauntlett-Gilbert – student on the MSt Practical Ethics programme The advent of Machine Learning and Artificial Intelligence has opened up new possibilities for health research. Specifically, these techniques could be let loose on ‘big data’, such as the collective data of healthcare organisations (including the NHS), and would likely reveal new insights| Practical Ethics