Cambridge Quarterly of Healthcare Ethics最新文献

The Ethics Committee at Memorial Sloan Kettering Cancer Center (MSK) developed a Bioethics Ambassador Program (BAP); a yearlong educational program to assist clinical and non-clinical staff develop the skills to identify and address common burgeoning ethical issues that can arise during the provision of care to patients with cancer. The goal was to provide greater awareness of the role and services of Ethics, particularly at the institution's geographically-diverse outpatient care centers and to better-instill a culture of preventative ethics. This article discusses the design and implementation of the first two years of the program and analyzes its strengths, weaknesses, and impact on MSK.

This paper describes the content and evolution of a fourth-year course for medical students on teaching pathographies of mental illness. (It is a follow-up to Nathan Carlin's Pathographies of Mental Illness that appeared as an Element in the Bioethics and Neuroethics series published by Cambridge University Press.) The course originally centered on classic (and some contemporary) memoirs; however, responding to student evaluations, newer material now ensures more diversity, with material written by women and people of color, and describes the difference that can make.

There are increasing calls for coverage of medicine during the Holocaust in medical school curricula. This article describes outcomes from a Holocaust and medicine educational program featuring a study trip to Poland, which focused on physician complicity during the Holocaust, as well as moral courage in health professionals who demonstrated various forms of resistance in the ghettos and concentration camps. The trip included tours of key sites in Krakow, Oswiecim, and the Auschwitz-Birkenau concentration camps, as well as meeting with survivors, lectures, reflective writings, and discussions. In-depth interviews and reflective writings were qualitatively analyzed. Resulting themes centered on greater understanding of the relationship between bioethics and the Holocaust, recognizing the need for moral courage and social awareness, deeper appreciation for the historical roles played by dehumanization and medical power and their contemporary manifestations, and the power of presence and experiential learning for bioethics education and professional identity formation. These findings evidence the significant impact of the experience and suggest broader adoption of pedagogies that include place-based and experiential learning coupled with critical reflection can amplify the impact of bioethics and humanism education as well as the process of professional identity formation of medical students.

Bioethics as a philosophical discipline deals with matters of life and death. How it deals with them, however, depends on the kind of life particular bioethicists focus on and the kind of value they assign to it. Natural-law ethicists and conservative Kantians emphasize biological human life regardless of its developmental stage. Integrative bioethicists also embrace nonhuman life if it can be protected without harming humans. Liberal and utilitarian moralists concentrate on life that is sentient and aware of itself, to the exclusion of biological existence devoid of these. Extinctionist and antinatalist philosophers believe that life's value is negative and that its misery should be alleviated and terminated by not bringing new individuals into existence. As the last-mentioned approach reverses the idea of life's positive value, it could be called oibethics.

The Interprofessional Education Collaborative’s (IPEC’s) core competencies are accreditation standards of most, if not all, healthcare professions (Interprofessional Education Collaborative Expert Panel [2016, Core Competencies for Interprofessional Collaborative Practice: 2016 Update. Washington, DC: IPEC]). Limited literature exists on interprofessional (IP) learning outcomes in healthcare ethics; even fewer studies include debrief sessions. Interprofessional education (IPE) case discussion using web-based technology is a promising way to incorporate ethics content. This article summarizes a model for healthcare programs to create, conduct, and assess synchronous IPE ethics discussions and debrief sessions. Specifically, this article highlights debrief sessions that followed a standardized patient (SP) IP interaction with students from pharmacy and advanced practice nursing. Qualitative analysis of debrief comments identified four themes: the benefit of IP collaboration, the importance of patient-centered care, the need to adapt clinical recommendations with ethical challenges, and the importance of trust among team members. The findings indicate web-based, synchronous IP/SP ethics simulations and debrief sessions are an effective, albeit laborious, method for collaboration and reflection.

Animal experimentation raises value conflicts between animal protection and other goods, such as freedom of inquiry or health and safety. If governments can phase out the practice by non-prohibitive incentive-setting, the pro tanto moral rationale for doing so is obvious. So why should they not? This article first sketches a fictional scenario in which a government adopts a phase-out plan for animal experimentation. It then considers two moral objections to this plan: First, the plan unduly restricts freedom of inquiry, and second, it merely displaces animal experimentation across borders and thus fails to reduce animal suffering. Both arguments are refined premise by premise to articulate their strongest versions. The two objections can help to narrow down desiderata for good phase-out plans. However, they do not provide a compelling case against phase-out planning as such because they miss its incremental and constructive nature. Unless better arguments can be provided, it appears that government inaction on phasing out animal experimentation lacks moral justification.

Xenotransplant patient selection recommendations restrict clinical trial participation to seriously ill patients for whom alternative therapies are unavailable or who will likely die while waiting for an allotransplant. Despite a scholarly consensus that this is advisable, we propose to examine this restriction. We offer three lines of criticism: (1) The risk-benefit calculation may well be unfavorable for seriously ill patients and society; (2) the guidelines conflict with criteria for equitable patient selection; and (3) the selection of seriously ill patients may compromise informed consent. We conclude by highlighting how the current guidance reveals a tension between the societal values of justice and beneficence.

Teaching ethics is crucial to health sciences education. Doing it well requires a willingness to engage contentious social issues. Those issues introduce conflict and risk, but avoiding them ignores moral diversity and renders the work of ethics education irrelevant. Therefore, when (not if) contentious issues and moral differences arise, they must be acknowledged and can be addressed with humility, collegiality, and openness to support learning. Faculty must risk moments when not everyone will "feel safe," so the candor implied in psychological safety can emerge. The deliberative and social work of ethics education involves generous listening, wading into difference, and wondering together if our beliefs and arguments are as sound as we once thought. By forecasting the need for candid engagement with contentious issues and moral difference, establishing ground rules, and bolstering due process structures for faculty and students, a riskier and more relevant ethics pedagogy can emerge. Doing so will prepare everyone for the moral diversity they can expect in our common life and in practice.

Artificial intelligence (AI) systems have demonstrated impressive performance across a variety of clinical tasks. However, notoriously, sometimes these systems are "black boxes." The initial response in the literature was a demand for "explainable AI." However, recently, several authors have suggested that making AI more explainable or "interpretable" is likely to be at the cost of the accuracy of these systems and that prioritizing interpretability in medical AI may constitute a "lethal prejudice." In this paper, we defend the value of interpretability in the context of the use of AI in medicine. Clinicians may prefer interpretable systems over more accurate black boxes, which in turn is sufficient to give designers of AI reason to prefer more interpretable systems in order to ensure that AI is adopted and its benefits realized. Moreover, clinicians may be justified in this preference. Achieving the downstream benefits from AI is critically dependent on how the outputs of these systems are interpreted by physicians and patients. A preference for the use of highly accurate black box AI systems, over less accurate but more interpretable systems, may itself constitute a form of lethal prejudice that may diminish the benefits of AI to-and perhaps even harm-patients.

Position papers on artificial intelligence (AI) ethics are often framed as attempts to work out technical and regulatory strategies for attaining what is commonly called trustworthy AI. In such papers, the technical and regulatory strategies are frequently analyzed in detail, but the concept of trustworthy AI is not. As a result, it remains unclear. This paper lays out a variety of possible interpretations of the concept and concludes that none of them is appropriate. The central problem is that, by framing the ethics of AI in terms of trustworthiness, we reinforce unjustified anthropocentric assumptions that stand in the way of clear analysis. Furthermore, even if we insist on a purely epistemic interpretation of the concept, according to which trustworthiness just means measurable reliability, it turns out that the analysis will, nevertheless, suffer from a subtle form of anthropocentrism. The paper goes on to develop the concept of strange error, which serves both to sharpen the initial diagnosis of the inadequacy of trustworthy AI and to articulate the novel epistemological situation created by the use of AI. The paper concludes with a discussion of how strange error puts pressure on standard practices of assessing moral culpability, particularly in the context of medicine.