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Quality improvement is an important function of learning health systems, and public policy should promote QI activities. Use of systematic methodologies in QI has prompted substantial confusion regarding when QI is human subjects research under the Common Rule, and this confusion persists with the revised Rule. Difficulty distinguishing research from QI imposes costs on the quality improvement process. I offer guidance to IRBs to mitigate these costs and suggest a new regulatory exclusion for minimal risk quality improvement activities. |
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A number of unique problems plague human research protection efforts at United States (U.S.) State and Territorial Departments of Health (DOHs) problems which might be ameliorated through a consolidated national or regional, independent, not-for-profit Institutional Review Board (IRB). |
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A number of unique problems plague human research protection efforts at United States State and Territorial Departments of Health. The first problem is related to the number of Institutional Review Boards operated by and Federalwide Assurances held by DOHs. The lack of these two essential regulatory human research protection program mechanisms points to a possible inadequacy of infrastructure at DOHs for protecting human subjects. The second and third problems are related to the use and interpretation of research protection laws and (...) |
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Using mobile health research as an extended example, this article provides an overview of when the Common Rule “applies” to a variety of activities, what might be meant when one says that the Common Rule does or does not “apply,” the extent to which these different meanings of “apply” matter, and, when the Common Rule does apply, how it applies. |
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The application of artificial intelligence and machine learning technologies in healthcare have immense potential to improve the care of patients. While there are some emerging practices surro... |
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Char and colleagues provide a useful conceptual framework for the proactive identification of ethical issues arising throughout the lifecycle of machine learning applications in healthcare. Th... |
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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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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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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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In this paper, we argue that there are important ethical questions about healthcare improvement which are underexplored. We start by drawing on two existing literatures: first, the prevailing, primarily governance-oriented, application of ethics to healthcare ‘quality improvement’ (QI), and second, the application of QI to healthcare ethics. We show that these are insufficient for ethical analysis of healthcare improvement. In pursuit of a broader agenda for an ethics of healthcare improvement, we note that QI and ethics can, in some respects, (...) |
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