Generating a taxonomy of regulatory responses to emerging issues in biomedicine

Clinical innovation ethics frameworks: A systematic narrative review

BACKGROUND

It is common for doctors to engage in clinical innovation-i.e. to use novel interventions that differ from standard practice, and that have not yet been shown to be safe or effective according to the usual standards of evidence-based medicine-in the belief that this will benefit their patients. Clinical innovation is currently poorly defined and lacks cohesive oversight mechanisms.

METHODS

A systematic narrative review, with the aim of identifying areas of similarity and divergence in innovation ethics frameworks developed across different medical specialties.

RESULTS

47 articles were included in the review. Few ethical issues raised by the ethics frameworks appear to be unique to distinct areas of practice. While variations exist in the oversight mechanisms suggested, these are again not specific to areas of practice, but rather reflect either cautious or more permissive attitudes towards clinical innovation.

CONCLUSIONS

There is considerable overlap amongst ethics frameworks developed for use in diverse areas of practice. This reflects a tendency to treat innovative interventions in each area of practice as "exceptional" and a failure to develop "higher order" frameworks such as those that have been developed for research. Those involved in the oversight of clinical innovation need to aim for a balance between exceptionalism and harmonisation.

Ethics and Epistemology of Big Data

In this Symposium on the Ethics and Epistemology of Big Data, we present four perspectives on the ways in which the rapid growth in size of research databanks-i.e. their shift into the realm of "big data"-has changed their moral, socio-political, and epistemic status. While there is clearly something different about "big data" databanks, we encourage readers to place the arguments presented in this Symposium in the context of longstanding debates about the ethics, politics, and epistemology of biobank, database, genetic, and epidemiological research.