The application of Artificial Intelligence (AI) in healthcare and epidemiology undoubtedly has many benefits for the population. However, due to its environmental impact, the use of AI can produce social inequalities and long-term environmental damages that may not be thoroughly contemplated. In this paper, we propose to consider the impacts of AI applications in medical care from the One Health paradigm and long-term global health. From health and environmental justice, rather than settling for a short and fleeting green honeymoon between (...) health and sustainability caused by AI, it should aim for a lasting marriage. To this end, we conclude by proposing that, in the upcoming years, it could be valuable and necessary to promote more interconnected health, call for environmental cost transparency, and increase green responsibility. (shrink)

BackgroundThe health sector aims to improve health outcomes and access to healthcare. At the same time, the sector relies on unsustainable environmental practices that are increasingly recognised to be catastrophic threats to human health and health inequities. As such, a moral imperative exists for the sector to address these practices. While strides are currently underway to mitigate the environmental impacts of healthcare, less is known about how health researchers are addressing these issues, if at all.MethodsThis paper uses an interview methodology (...) to explore the attitudes of UK health researchers using data-intensive methodologies about the adverse environmental impacts of their practices, and how they view the importance of these considerations within wider health goals.ResultsInterviews with 26 researchers showed that participants wanted to address the environmental and related health harms associated with their research and they reflected on how they could do so in alignment with their own research goals. However, when tensions emerged, their own research was prioritised. This was related to their own desires as researchers and driven by the broader socio-political context of their research endeavours.ConclusionTo help mitigate the environmental and health harms associated with data-intensive health research, the socio-political context of research culture must be addressed. (shrink)

Background Biobanks are a key aspect of healthcare research; they enable access to a wide range of heterogenous samples and data, as well as saving individual researchers time and funds on the collection, storage and/or curation of such resources. However, biobanks are also associated with impacts associated with a depletion of natural resources (energy, water etc.) production of toxic chemicals during manufacturing of laboratory equipment, and effects on biodiversity. We wanted to better understand the biobanking sector in the UK as (...) a first step to assessing the environmental impacts of UK biobanking. Methods We explored the sample storage infrastructure and environmental sustainability practices at a number of UK biobanks through a mixed methods quantitative and qualitative approach, including information gathering on an online platform, and eight in-depth interviews. Results Environmental sustainability was deprioritised behind biobanks’ financial sustainability practices. Nevertheless, both often aligned in practice. However, there was a tendency towards underutilisation of stored samples, the avoidance of centralisation, and providing accessibility to biosamples, and this conflicted with valuing sustainability goals. This related to notions of individualised and competitive biobanking culture. Furthermore, the study raised how value attachments to biosamples overshadows needs for both financial and environmental sustainability concerns. Conclusions We need to move away from individualised and competitive biobanking cultures towards a realisation that the health of the publics and patients should be first and foremost. We need to ensure the use of biosamples, ahead of their storage (‘smart attachments’), align with environmental sustainability goals and participants’ donation wishes for biosample use. (shrink)

Arguably one of the strengths of the discipline of medical ethics is its close attention to the context in which ethical dilemmas, questions and issues play out. As a discipline that is concerned with helping and supporting practitioners, policy-makers and the public to address the ethical aspects of healthcare provision and practice in the best way they can, context is crucially important. As McMillian puts it, ‘ethics should be grounded’ in the practical realities of the situation.1 What, where and who (...) are important questions that set the parameters of the debate and, to some extent, frame the subsequent solution or decision. What is happening in a particular case, what is the source of controversy, is it a conflict of values, regulations or professional viewpoints? Where does it take place, under which rules, jurisdiction or in which professional setting? And who does it involve? Whose rights, interests or decision-making capacity do we prioritise? All these contextual questions need to be carefully articulated before it is possible to draw any normative conclusions. The importance of context is clear in this issue’s ‘Engagement without entanglement: a framework for non-sexual patient–physician boundaries’ by Appel.2 What might be seen as entirely appropriate behaviour in one context, for example, when I help out a friend and let them stay in my house for a few weeks while they recover from an operation, is entirely inappropriate in another—in …. (shrink)