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  1. New trends of short-term humanitarian medical volunteerism: professional and ethical considerations.Ramin Asgary & Emily Junck - 2013 - Journal of Medical Ethics 39 (10):625-631.
    Short-term humanitarian medical volunteerism has grown significantly among both clinicians and trainees over the past several years. Increasingly, both volunteers and their respective institutions have faced important challenges in regard to medical ethics and professional codes that should not be overlooked. We explore these potential concerns and their risk factors in three categories: ethical responsibilities in patient care, professional responsibility to communities and populations, and institutional responsibilities towards trainees. We discuss factors increasing the risk of harm to patients and communities, (...)
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  • A Response to Commentators on “Improving Fairness in Coverage Decisions: Performance Expectations for Quality Improvement”.Matthew K. Wynia, Deborah Cummins, David Fleming, Kari Karsjens, Amber Orr, James Sabin, Inger Saphire-Bernstein & Renee Witlen - 2004 - American Journal of Bioethics 4 (3):W40-W42.
    Patients and physicians often perceive the current health care system to be unfair, in part because of the ways in which coverage decisions appear to be made. To address this problem the Ethical Force Program, a collaborative effort to create quality improvement tools for ethics in health care, has developed five content areas specifying ethical criteria for fair health care benefits design and administration. Each content area includes concrete recommendations and measurable expectations for performance improvement, which can be used by (...)
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  • Consequences of unexplainable machine learning for the notions of a trusted doctor and patient autonomy.Michal Klincewicz & Lily Frank - 2020 - Proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019) Co-Located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019).
    This paper provides an analysis of the way in which two foundational principles of medical ethics–the trusted doctor and patient autonomy–can be undermined by the use of machine learning (ML) algorithms and addresses its legal significance. This paper can be a guide to both health care providers and other stakeholders about how to anticipate and in some cases mitigate ethical conflicts caused by the use of ML in healthcare. It can also be read as a road map as to what (...)
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