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  1. Decision-making ethics in regards to life-sustaining interventions: when physicians refer to what other patients decide.Eve Rubli Truchard, Ralf J. Jox & Anca-Cristina Sterie - 2022 - BMC Medical Ethics 23 (1):1-13.
    BackgroundHealth decisions occur in a context with omnipresent social influences. Information concerning what other patients decide may present certain interventions as more desirable than others.ObjectivesTo explore how physicians refer to what other people decide in conversations about the relevancy of cardio-pulmonary resuscitation or do-not-attempt-resuscitation orders.MethodsWe recorded forty-three physician–patient admission interviews taking place in a hospital in French-speaking Switzerland, during which CPR is discussed. Data was analysed with conversation analysis.ResultsReference to what other people decide in regards to CPR is used five (...)
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  • Including patients in resuscitation decisions in Switzerland: from doing more to doing better.Samia A. Hurst, Maria Becerra, Arnaud Perrier, Noelle Junod Perron, Stéphane Cochet & Bernice Elger - 2013 - Journal of Medical Ethics 39 (3):158-165.
    Background Decisions regarding Cardio-Pulmonary Resuscitation (CPR) and Do Not Attempt Resuscitation (DNAR) orders remain demanding, as does including patients in the process. Objectives To explore physicians’ justification for CPR/DNAR orders and decisions regarding patient inclusion, as well as their reports of how they initiated discussions with patients. Methods We administered a face-to-face survey to residents in charge of 206 patients including DNAR and CPR orders, with or without patient inclusion. Results Justifications were provided for 59% of DNAR orders and included (...)
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  • 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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