Book reviewed in this article: Principles of Biomedical Ethics. By Tom L. Beauchamp and James F. Childress.

The capacity to collect and analyse data is growing exponentially. Referred to as ‘Big Data’, this scientific, social and technological trend has helped create destabilising amounts of information, which can challenge accepted social and ethical norms. Big Data remains a fuzzy idea, emerging across social, scientific, and business contexts sometimes seemingly related only by the gigantic size of the datasets being considered. As is often the case with the cutting edge of scientific and technological progress, understanding of the ethical implications (...) of Big Data lags behind. In order to bridge such a gap, this article systematically and comprehensively analyses academic literature concerning the ethical implications of Big Data, providing a watershed for future ethical investigations and regulations. Particular attention is paid to biomedical Big Data due to the inherent sensitivity of medical information. By means of a meta-analysis of the literature, a thematic narrative is provided to guide ethicists, data scientists, regulators and other stakeholders through what is already known or hypothesised about the ethical risks of this emerging and innovative phenomenon. Five key areas of concern are identified: informed consent, privacy, ownership, epistemology and objectivity, and ‘Big Data Divides’ created between those who have or lack the necessary resources to analyse increasingly large datasets. Critical gaps in the treatment of these themes are identified with suggestions for future research. Six additional areas of concern are then suggested which, although related have not yet attracted extensive debate in the existing literature. It is argued that they will require much closer scrutiny in the immediate future: the dangers of ignoring group-level ethical harms; the importance of epistemology in assessing the ethics of Big Data; the changing nature of fiduciary relationships that become increasingly data saturated; the need to distinguish between ‘academic’ and ‘commercial’ Big Data practices in terms of potential harm to data subjects; future problems with ownership of intellectual property generated from analysis of aggregated datasets; and the difficulty of providing meaningful access rights to individual data subjects that lack necessary resources. Considered together, these eleven themes provide a thorough critical framework to guide ethical assessment and governance of emerging Big Data practices. (shrink)

Concern for human vulnerability seems to be at the heart of bioethical inquiry, but the concept of vulnerability is under-theorized in the bioethical literature. The aim of this article is to show why bioethics needs an adequately theorized and nuanced conception of vulnerability. We first review approaches to vulnerability in research ethics and public health ethics, and show that the bioethical literature associates vulnerability with risk of harm and exploitation, and limited capacity for autonomy. We identify some of the challenges (...) emerging from this literature: in particular, how to reconcile universal human vulnerability with a context-sensitive analysis of specific kinds and sources of vulnerability; and how to reconcile obligations to protect vulnerable persons with obligations to respect autonomy. We then briefly survey some of the theoretical resources available within the philosophical literature to address these challenges, and to assist in understanding the conceptual connections between vulnerability and related concepts such as harm, exploitation, needs, and autonomy. We also sketch out a taxonomy of sources and kinds of vulnerability. Finally, we consider the implications for policy evaluation of making vulnerability an explicit and central focus of bioethics. Our investigation is in the form of a broad survey motivating a research agenda rather than a detailed analysis. (shrink)

In this article I examine several criticisms of the concept of vulnerability. Rather than rejecting the concept, however, I argue that a sufficiently rich understanding of vulnerability is essential to bioethics. The challenges of international research in developing countries require an understanding of how new vulnerabilities arise from conditions of economic, social and political exclusion. A serious shortcoming of current conceptions of vulnerability in research ethics is the tendency to treat vulnerability as a label fixed on a particular subpopulation. My (...) paper examines the role of this “label” metaphor in current statements of research ethics. In contrast to this prevailing “label” metaphor, my own positive account of vulnerability develops a dynamic way of understanding the structure of the concept of vulnerability based on the idea of “layers of vulnerability.” I examine several cases involving women, as they are sometimes labeled as a vulnerable population and sometimes not. My analysis demonstrates the essential role of this revised concept of vulnerability in bioethics and research ethics. (shrink)

Calls are increasing for American health care to be organized as a learning health care system, defined by the Institute of Medicine as a health care system “in which knowledge generation is so embedded into the core of the practice of medicine that it is a natural outgrowth and product of the healthcare delivery process and leads to continual improvement in care.” We applaud this conception, and in this paper, we put forward a new ethics framework for it. No such (...) framework has previously been articulated. The goals of our framework are twofold: to support the transformation to a learning health care system and to help ensure that learning activities carried out within such a system are conducted in an ethically acceptable fashion. (shrink)

Several foundational documents of bioethics mention the special obligation researchers have to vulnerable research participants. However, the treatment of vulnerability offered by these documents often relies on enumeration of vulnerable groups rather than an analysis of the features that make such groups vulnerable. Recent attempts in the scholarly literature to lend philosophical weight to the concept of vulnerability are offered by Luna and Hurst. Luna suggests that vulnerability is irreducibly contextual and that Institutional Review Boards (Research Ethics Committees) can only (...) identify vulnerable participants by carefully examining the details of the proposed research. Hurst, in contrast, defines the vulnerable as those especially at risk of incurring the wrongs to which all research ethics participants are exposed. We offer a more substantive conception of vulnerability than Luna but one that gives rise to a different rubric of responsibilities from Hurst's. While we understand vulnerability to be an ontological condition of human existence, in the context of research ethics, we take the vulnerable to be research subjects who are especially prone to harm or exploitation. Our analysis rests on developing a typology of sources of vulnerability and showing how distinct sources generate distinct obligations on the part of the researcher. Our account emphasizes that the researcher's first obligation is not to make the research participant even more vulnerable than they already are. To illustrate our framework, we consider two cases: that of a vulnerable population involved in international research and that of a domestic population of people with diminished capacity. (shrink)

Artificial intelligence is set to transform healthcare. Key ethical issues to emerge with this transformation encompass the accountability and transparency of the decisions made by AI-based systems, the potential for group harms arising from algorithmic bias and the professional roles and integrity of clinicians. These concerns must be balanced against the imperatives of generating public benefit with more efficient healthcare systems from the vastly higher and accurate computational power of AI. In weighing up these issues, this paper applies the deliberative (...) balancing approach of the Ethics Framework for Big Data in Health and Research. The analysis applies relevant values identified from the framework to demonstrate how decision-makers can draw on them to develop and implement AI-assisted support systems into healthcare and clinical practice ethically and responsibly. Please refer to Xafis et al. in this special issue of the Asian Bioethics Review for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end of this paper. (shrink)

Ethics and Law for the Health Professions is a cross-disciplinary medico-legal book whose previouseditions have been widely used in the medical world. This new 3rd edition is fully revised with all ethics and law topics updated to reflect recent developments. New chapters include dealing specifically with children, health care and the environment, infectious diseases, public health, and ethics and chronic disease. All law sections have been extensively re-visited by Dr Cameron Stewart. Its special features are its focus on a clinically (...) relevant approach, and its recognition that health care professionals are often confronted by legal issues and ethical issues at the same time. Health professionals have to satisfy both, and their legal advisers need to be aware of the dilemmas this can present. This book is careful to distinguish between ethics and law. Its chapters take account of all the health professions, and their differing responsibilities, and cover a very wide range of the issues they face. (shrink)

As opposed to a ‘one size fits all’ approach, precision medicine uses relevant biological, medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone’s disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical issues relating to (...) the balancing of interests, viability of anonymization, familial and group implications, as well as genetic discrimination. This article analyses these issues in light of the values of public benefit, justice, harm minimization, transparency, engagement and reflexivity and applies the deliberative balancing approach found in theEthical Framework for Big Data in Health and Research to a case study on clinical genomic data sharing. Please refer to that article for an explanation of how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. Our discussion is meant to be of use to those involved in the practice as well as governance and oversight of precision medicine to address ethical concerns that arise in a coherent and systematic manner. (shrink)

Public-private partnerships are established to specifically harness the potential of Big Data in healthcare and can include partners working across the data chain—producing health data, analysing data, using research results or creating value from data. This domain paper will illustrate the challenges that arise when partners from the public and private sector collaborate to share, analyse and use biomedical Big Data. We discuss three specific challenges for PPPs: working within the social licence, public antipathy to the commercialisation of public sector (...) health data, and questions of ownership, both of the data and any resulting intellectual property or products. As a specific example we consider the case of the UK National Health Service providing patient data to Google’s DeepMind AI program to develop a diagnostic app for kidney disease. This article is an application of the framework presented in this issue of ABR. Please refer to that article for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. We use four specific values to help analysis these issues: public benefit, stewardship, transparency and engagement. We demonstrate how the Deliberative Framework can support ethical governance of PPPs involving biomedical big data. (shrink)

A number of ethical frameworks have been proposed to support decision-making in public health and the evaluation of public health policy and practice. This is encouraging, since ethical considerations are of paramount importance in health policy. However, these frameworks have various deficiencies, in part because they incorporate substantial ethical positions. In this article, we discuss and criticise a framework developed by James Childress and Ruth Bernheim, which we consider to be the state of the art in the field. Their framework (...) distinguishes aims, such as the promotion of public health, from constraints on the pursuit of those aims, such as the requirement to avoid limitations to liberty, or the requirement to be impartial. We show how this structure creates both theoretical and practical problems. We then go on to present and defend a more practical framework, one that is neutral in avoiding precommitment to particular values and how they ought to be weighted. We believe ethics is at the very heart of such weightings and our framework is developed to reflect this belief. It is therefore both pluralist and value-based. We compare our new framework to Childress and Bernheim’s and outline its advantages. It is justified by its impetus to consider a wide range of alternatives and its tendency to direct decisions towards the best alternatives, as well as by the information provided by the ranking of alternatives and transparent explication of the judgements that motivate this ranking. The new framework presented should be useful to decision-makers in public health, as well as being a means to stimulate further reflection on the role of ethics in public health. (shrink)

A key ethical issue arising in data linkage research relates to consent requirements. Patients’ consent preferences in the context of health research have been explored but their consent preferences regarding data linkage specifically have been under-explored. In addition, the views on data linkage are often those of patient groups. As a result, little is known about lay people’s views and their preferences about consent requirements in the context of data linkage. This study explores lay people’s views and justifications regarding the (...) acceptability of conducting data linkage research without obtaining consent. (shrink)

It is increasingly recognised that evidence generated using “real-world data” is crucial for assessing the safety and effectiveness of health-related interventions. This, however, raises a number of issues, including those related to the quality of RWD, and of the scientific methods used to generate evidence from it, and the potential for those gathering and using RWD be driven by commercial, political, professional or personal self-interest. This article is an application of the framework presented in this issue of ABR. Please refer (...) to that article for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end to demonstrate how those generating or using RWD can make use of values when deliberating about ethical issues. (shrink)

There is a growing expectation, or even requirement, for researchers to deposit a variety of research data in data repositories as a condition of funding or publication. This expectation recognizes the enormous benefits of data collected and created for research purposes being made available for secondary uses, as open science gains increasing support. This is particularly so in the context of big data, especially where health data is involved. There are, however, also challenges relating to the collection, storage, and re-use (...) of research data. This paper gives a brief overview of the landscape of data sharing via data repositories and discusses some of the key ethical issues raised by the sharing of health-related research data, including expectations of privacy and confidentiality, the transparency of repository governance structures, access restrictions, as well as data ownership and the fair attribution of credit. To consider these issues and the values that are pertinent, the paper applies the deliberative balancing approach articulated in the Ethics Framework for Big Data in Health and Research to the domain of Openness in Big Data and Data Repositories. Please refer to that article for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. (shrink)

Approaches to clinical ethics dilemmas that rely on basic principles or rules are difficult to apply because of vagueness and conflict among basic values. In response, casuistry rejects the use of basic values, and specification produces a large set of specified rules that are presumably easily applicable. Balancing is a method employed to weigh the relative importance of different and conflicting values in application. We argue against casuistry and specification, claiming that balancing is superior partly because it most clearly exhibits (...) the reasoning behind moral decision-making. Hence, balancing may be most effective in teaching bioethics to medical professionals. (shrink)

Discussion of uses of biomedical data often proceeds on the assumption that the data are generated and shared solely or largely within the health sector. However, this assumption must be challenged because increasingly large amounts of health and well-being data are being gathered and deployed in cross-sectoral contexts such as social media and through the internet of things and wearable devices. Cross-sectoral sharing of data thus refers to the generation, use and linkage of biomedical data beyond the health sector. This (...) paper considers the challenges that arise from this phenomenon. If we are to benefit fully, it is important to consider which ethical values are at stake and to reflect on ways to resolve emerging ethical issues across ecosystems where values, laws and cultures might be quite distinct. In considering such issues, this paper applies the deliberative balancing approach of the Ethics Framework for Big Data in Health and Research to the domain of cross-sectoral big data. Please refer to that article for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. (shrink)

Alongside globalization, the sense of vulnerability among people and populations has increased. We feel vulnerable to disease as new infections spread rapidly across the globe, while disasters and climate change make health increasingly precarious. Moreover, clinical trials of new drugs often exploit vulnerable populations in developing countries that otherwise have no access to healthcare and new genetic technologies make people with disabilities vulnerable to discrimination. Therefore the concept of vulnerability has contributed new ideas to the debates about the ethical dimensions (...) of medicine and healthcare. This book explains and elaborates the new concept of vulnerability in today s bioethics. Firstly, Henk ten Have argues that vulnerability cannot be fully understood within the framework of individual autonomy that dominates mainstream bioethics today: it is often not the individual person who is vulnerable, rather that his or her vulnerability is created through the social and economic conditions in which he or she lives. Contending that the language of vulnerability offers perspectives beyond the traditional autonomy model, this book offers a new approach which will enable bioethics to evolve into a global enterprise. This groundbreaking book critically analyses the concept of vulnerability as a global phenomenon. It will appeal to scholars and students of ethics, bioethics, globalization, healthcare, medical science, medical research, culture, law, and politics.". (shrink)

Women’s access to health and medicine in developed countries has been characterized by a range of inconsistent inclusions and exclusions. Health policy has been asymmetrically interested in women’s reproductive capacities and has sought to regulate, control, and manage aspects of women’s reproductive decision making in a manner unwitnessed in relation to men’s reproductive health and reproductive decision making. In other areas, research that addresses health concerns that affect both men and women sometimes is designed so as not to yield data (...) relating to the ways in which women’s physiology and gendered location may affect their experience of the condition and its response to treatment, despite a literature on the significance of sex and gender differences in health research. This paper draws on the situation in Australia to explore the ethical significance of these inconsistencies as failing the ideals of high-quality medical research and evidenced-based health care. (shrink)