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  1. Bedside rationing in cancer care: Patient advocate perspective.Ornella Gonzato - 2022 - Clinical Ethics 17 (4):358-362.
    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 (...)
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  • Integrating philosophy, policy and practice to create a just and fair health service.Zoe Fritz & Caitríona L. Cox - 2020 - Journal of Medical Ethics 46 (12):797-802.
    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 (...)
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  • Democratizing Algorithmic Fairness.Pak-Hang Wong - 2020 - Philosophy and Technology 33 (2):225-244.
    Algorithms can now identify patterns and correlations in the (big) datasets, and predict outcomes based on those identified patterns and correlations with the use of machine learning techniques and big data, decisions can then be made by algorithms themselves in accordance with the predicted outcomes. Yet, algorithms can inherit questionable values from the datasets and acquire biases in the course of (machine) learning, and automated algorithmic decision-making makes it more difficult for people to see algorithms as biased. While researchers have (...)
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  • Hammer or Measuring Tape? Artificial Intelligence and Justice in Healthcare.Jan-Hendrik Heinrichs - 2024 - Cambridge Quarterly of Healthcare Ethics 33 (3):311-322.
    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’s accountability for reasonableness (...)
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