Artificial intelligence (AI) is a powerful tool for several healthcare tasks. AI tools are suited to optimize predictive models in medicine. Ethical debates about AI’s extension of the predictive power of medical models suggest a need to adapt core principles of medical ethics. This article demonstrates that a popular interpretation of the principle of justice in healthcare needs amendment given the effect of AI on decision-making. The procedural approach to justice, exemplified with Norman Daniels and James Sabin’saccountability for reasonablenessconception, needs (...) amendment because, as research into algorithmic fairness shows, it is insufficiently sensitive to differential effects of seemingly just principles on different groups of people. The same line of research generates methods to quantify differential effects and make them amenable for correction. Thus, what is needed to improve the principle of justice is a combination of procedures for selecting just criteria and principles and the use of algorithmic tools to measure the real impact these criteria and principles have. In this article, the author shows that algorithmic tools do not merely raise issues of justice but can also be used in their mitigation by informing us about the real effects certain distributional principles and criteria would create. (shrink)

Rationing in healthcare remains very much a taboo topic. Before COVID-19, it rarely received public attention, even when it occurred in everyday practices, mainly in the form of implicit rationing, as it continues to do today. There are different definitions, types and levels of healthcare rationing, according to different perspectives. With the aim of contributing to a more coherent debate on such a highly emotional healthcare issue as rationing, here are provided a number of reflections from a patient advocate perspective (...) which are specifically focused on bedside rationing, the most troublesome level, both for patients and clinicians, particularly in regard to cancer care. Oncology, with its numerous expensive therapies and increasing number of patients, is undeniably one of the main areas contributing to the increase in healthcare costs. However, the fixed budgets of today's publicly financed health systems cannot allow unlimited access to the potentially beneficial treatments to all patients. Bedside rationing constitutes the last phase of many decision-making processes occurring at different interrelated levels (macro-levels), both inside and outside healthcare systems, which implicitly and inevitably result in a bottleneck determined by the upstream decisions themselves. Shifting from implicit to explicit bedside rationing essentially means moving from a paternalistic to a citizen-before-patient approach; this implies, first of all, a cultural change. Practical bedside rationing is an ethically complex topic, but one that needs to be urgently addressed in a transparent and open debate. In this scenario, the oncological community – patients, patient advocates and clinicians – can and should play an important role. (shrink)

To practise ‘fairly and justly’ a clinician must balance the needs of both the many and the few: the individual patient in front of them, and the many unseen patients in the waiting room, and in the county. They must consider the immediate clinical needs of those in the present, and how their actions will impact on future patients. The good medical practice guidance ‘Make the care of your patient your first concern’ provides no guidance on how doctors should act (...) when they care for multiple patients with conflicting needs. Moreover, conflicting needs extend far past simply those between different patients. At an organisational level, financial obligations must be balanced with clinical ones; the system must support those who work within it in a variety of roles; and, finally, in order for a healthcare service to be sustainable, the demands of current and future generations must be balanced.The central problem, we propose, is that there is no shared philosophical framework on which the provision of care or the development of health policy is based, nor is there a practical, fair and transparent process to ensure that the service is equipped to deal justly with new challenges as they emerge. Many philosophers have grappled with constructing a set of principles which would lead to a ‘good’ society which is just to different users; prominent among them is Rawls.Four important principles can be derived using a Rawlsian approach: equity of access, distributive justice, sustainability and openness. However, Rawls’ approach is sometimes considered too abstract to be applied readily to policymaking; it does not provide clear guidance for how individuals working within existing institutions can enact the principles of justice. We therefore combine the principles derived from Rawls with Scanlonian contractualism: by demanding that decisions are made in a way which cannot be ‘reasonably rejected’ by different stakeholders, we ensure that conflicting needs are considered robustly.We demonstrate how embedding this framework would ensure just policies and fair practice. We illustrate this by using examples of how it would help prevent injustice among different socioeconomic groups, prevent intergenerational injustice and prevent injustice in a crisis, for example, as we respond to new challenges such as COVID-19.Attempts to help individual doctors practise fairly and justly throughout their professional lives are best focused at an institutional or systemic level. We propose a practical framework: combining Scanlonian contractualism with a Rawlsian approach. Adopting this framework would equip the workforce and population to contribute to fair policymaking, and would ultimately result in a healthcare system whose practice and policies—at their core—were just. (shrink)