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  1. Should the use of adaptive machine learning systems in medicine be classified as research?Robert Sparrow, Joshua Hatherley, Justin Oakley & Chris Bain - forthcoming - American Journal of Bioethics.
    A novel advantage of the use of machine learning (ML) systems in medicine is their potential to continue learning from new data after implementation in clinical practice. To date, considerations of the ethical questions raised by the design and use of adaptive machine learning systems in medicine have, for the most part, been confined to discussion of the so-called “update problem,” which concerns how regulators should approach systems whose performance and parameters continue to change even after they have received regulatory (...)
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  • Research versus practice: The dilemmas of research ethics in the era of learning health‐care systems.Jan Piasecki & Vilius Dranseika - 2019 - Bioethics 33 (5):617-624.
    In this article we attempt to answer the question of how the ethical and conceptual framework (ECF) for a learning health‐care system (LHS) affects some of the main controversies in research ethics by addressing five key problems of research ethics: (a) What is the difference between practice and research? (b) What is the relationship between research ethics and clinical ethics? (c) What is the ethical relevance of the principle of clinical equipoise? (d) Does participation in research require a higher standard (...)
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  • An Ethics Framework for a Learning Health Care System: A Departure from Traditional Research Ethics and Clinical Ethics.Ruth R. Faden, Nancy E. Kass, Steven N. Goodman, Peter Pronovost, Sean Tunis & Tom L. Beauchamp - 2013 - Hastings Center Report 43 (s1):16-27.
    Calls are increasing for American health care to be organized as a learning health care system, defined by the Institute of Medicine as a health care system “in which knowledge generation is so embedded into the core of the practice of medicine that it is a natural outgrowth and product of the healthcare delivery process and leads to continual improvement in care.” We applaud this conception, and in this paper, we put forward a new ethics framework for it. No such (...)
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  • A risk screening tool for ethical appraisal of evidence-generating initiatives.Nancy K. Ondrusek, Donald J. Willison, Vinita Haroun, Jennifer A. H. Bell & Catherine C. Bornbaum - 2015 - BMC Medical Ethics 16 (1):1-8.
    BackgroundThe boundaries between health-related research and practice have become blurred as initiatives traditionally considered to be practice increasingly use the same methodology as research. Further, the application of different ethical requirements based on this distinction raises concerns because many initiatives commonly labelled as “non-research” are associated with risks to patients, participants, and other stakeholders, yet may not be subject to any ethical oversight. Accordingly, we sought to develop a tool to facilitate the systematic identification of risks to human participants and (...)
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  • Ethical oversight in quality improvement and quality improvement research: new approaches to promote a learning health care system.Kevin Fiscella, Jonathan N. Tobin, Jennifer K. Carroll, Hua He & Gbenga Ogedegbe - 2015 - BMC Medical Ethics 16 (1):63.
    Institutional review boards distinguish health care quality improvement and health care quality improvement research based primarily on the rigor of the methods used and the purported generalizability of the knowledge gained. Neither of these criteria holds up upon scrutiny. Rather, this apparently false dichotomy may foster under-protection of participants in QI projects and over-protection of participants within QIR.
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  • Data Citizenship and Informed Consent.Leslie P. Francis & John G. Francis - 2013 - American Journal of Bioethics 13 (4):38 - 39.
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  • Ethical Oversight of Research on Patient Care.Mildred Z. Solomon & Ann C. Bonham - 2013 - Hastings Center Report 43 (s1):2-3.
    The Institute of Medicine has called on health care leaders to transform their health systems into “learning health care systems,” capable of studying and continuously improving their practices. Learning health care systems commit to carrying out numerous kinds of investigations, ranging from clinical effectiveness studies to quality improvement research and implementation science. There has been progress in realizing the IOM's vision, but also many challenges. One of these challenges has been lingering uncertainty about whether the data collection and monitoring central (...)
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