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  1. AI support for ethical decision-making around resuscitation: proceed with care.Nikola Biller-Andorno, Andrea Ferrario, Susanne Joebges, Tanja Krones, Federico Massini, Phyllis Barth, Georgios Arampatzis & Michael Krauthammer - 2022 - Journal of Medical Ethics 48 (3):175-183.
    Artificial intelligence (AI) systems are increasingly being used in healthcare, thanks to the high level of performance that these systems have proven to deliver. So far, clinical applications have focused on diagnosis and on prediction of outcomes. It is less clear in what way AI can or should support complex clinical decisions that crucially depend on patient preferences. In this paper, we focus on the ethical questions arising from the design, development and deployment of AI systems to support decision-making around (...)
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  • Evaluation and ethical review of a tool to explore patient preferences for information and involvement in decision making.F. E. M. Murtagh - 2006 - Journal of Medical Ethics 32 (6):311-315.
    Aim: To improve clinical and ethical understanding of patient preferences for information and involvement in decision making.Objectives: To develop and evaluate a clinical tool to elicit these preferences and to consider the ethical issues raised.Design: A before and after study.Setting: Three UK hospices.Participants: Patients with advanced life-threatening illnesses and their doctors.Intervention: Questionnaire on information and decision-making preferences.Main outcome measures: Patient-based outcome measures were satisfaction with the amount of information given, with the way information was given, with family or carer information, (...)
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