This paper argues that there exists a collective epistemic state of ‘Broad Medical Uncertainty’ regarding the effectiveness of many medical interventions. We outline the features of BMU, and describe some of the main contributing factors. These include flaws in medical research methodologies, bias in publication practices, financial and other conflicts of interest, and features of how evidence is translated into practice. These result in a significant degree of uncertainty regarding the effectiveness of many medical (...) treatments and unduly optimistic beliefs about the benefit/harm profiles of such treatments. We argue for an ethical presumption in favour of openness regarding BMU as part of a ‘Corrective Response’. We then consider some objections to this position, including concerns that public honesty about flaws in medical research could undermine trust in healthcare institutions. We suggest that, as it stands, the Anti-Corrective Response is unconvincing. (shrink)

An analysis of medical ethics today discusses abortion, suicide, euthanasia, and human experimentation among other topics.

Considered ahead of its time since the first publication in 1981, Medical Choices, Medical Chances provides a telescope for viewing how developments in the fields of medical research, medical technology, and health care organization are likely to influence the doctor-patient relationship in the 21st Century. The book explores this intricate web of relationships among doctors, patients, and families and offers a new framework for mastering the emotional and intellectual challenges of uncertainty, while at the same (...) time providing tools for all concerned to regain control from managed care. It is a must-read for all those interested in medicine and where it is headed in the new millennium. (shrink)

While uncertainty can never be totally eliminated from clinical practice, physicians can at least come to terms with it. In interviews with Canadian physicians in a variety of clinical settings, three sources of uncertainty affecting the allocation of medical resources were identified. Technical uncertainty arises from inadequate scientific data. Personal uncertainty arises from not knowing patients' wishes. Conceptual uncertainty arises from the problem of applying abstract criteria to concrete situations.

Many hold that distributing healthcare according to medical need is a requirement of equality. Most egalitarians believe, however, that people ought to be equal on the whole, by some overall measure of well-being or life-prospects; it would be a massive coincidence if distributing healthcare according to medical need turned out to be an effective way of promoting equality overall. I argue that distributing healthcare according to medical need is important for reducing individuals' uncertainty surrounding their future (...) medical needs. In other words, distributing healthcare according to medical need is a natural feature of healthcare insurance; it is about indemnity, not equality. (shrink)

In light of recent advances in machine learning for medical applications, the automation of medical diagnostics is imminent. That said, before machine learning algorithms find their way into clinical practice, various problems at the epistemic level need to be overcome. In this paper, we discuss different sources of uncertainty arising for clinicians trying to evaluate the trustworthiness of algorithmic evidence when making diagnostic judgments. Thereby, we examine many of the limitations of current machine learning algorithms (with deep (...) learning in particular) and highlight their relevance for medical diagnostics. Among the problems we inspect are the theoretical foundations of deep learning (which are not yet adequately understood), the opacity of algorithmic decisions, and the vulnerabilities of machine learning models, as well as concerns regarding the quality of medical data used to train the models. Building on this, we discuss different desiderata for an uncertainty amelioration strategy that ensures that the integration of machine learning into clinical settings proves to be medically beneficial in a meaningful way. (shrink)

Some patients, following brain injury, do not outwardly respond to spoken commands, yet show patterns of brain activity that indicate responsiveness. This is “cognitive-motor dissociation” (CMD). Recent research has used machine learning to diagnose CMD from electroencephalogram (EEG) recordings. These techniques have high false discovery rates, raising a serious problem of inductive risk. It is no solution to communicate the false discovery rates directly to the patient’s family, because this information may confuse, alarm and mislead. Instead, we need a procedure (...) for generating case-specific probabilistic assessments that can be communicated clearly. This article constructs a possible procedure with three key elements: (1) a shift from categorical “responding or not” assessments to degrees of evidence; (2) the use of patient-centred priors to convert degrees of evidence to probabilistic assessments; and (3) the use of standardized probability yardsticks to convey those assessments as clearly as possible. (shrink)

Given the wide-reaching and detrimental impact of COVID-19, its strain on healthcare resources, and the urgent need for—sometimes forced—public health interventions, thorough examination of the ethical issues brought to light by the pandemic is especially warranted. This paper aims to identify some of the complex moral dilemmas faced by senior physicians at a major medical centre in Saudi Arabia, in an effort to gain a better understanding of how they navigated ethical uncertainty during a time of crisis. This (...) qualitative study uses a semistructured interview approach and reports the findings of 16 interviews. The study finds that participants were motivated by a profession-based moral obligation to provide care during the toughest and most uncertain times of the pandemic. Although participants described significant moral dilemmas during their practice, very few identified challenges as ethical in nature, and in turn, none sought formal ethics support. Rather, participants took on the burden of resolving ethical challenges themselves—whenever possible—rationalising oft fraught decisions by likening their experiences to wartime action or by minimising attention to the moral. In capturing these accounts, this paper ultimately contemplates what moral lessons can, and must be, learnt from this experience. (shrink)

Scott Waterman's reflection on his experience with chronic pain and alternative treatments raises a fundamental question in medical epistemology: How can we know that an intervention will help people who are suffering?Waterman's details his trial of an alternative therapy with a dubious pathophysiological rationale. Despite the lack of research demonstrating its efficacy, and a lack of therapeutic benefit for him in particular, he acknowledges its benefit to others who were more attitudinally predisposed to it. This leads him to conclude (...) that one's personal beliefs and explanatory hypotheses play a role in the healing process. From this he concludes that data from clinical studies conducted according to... (shrink)

introduces the topic of medical uncertainty and discusses its importance in human life. It argues that medical uncertainty is a critically important but historically neglected experience of both clinicians and patients, and that COVID-19 pandemic and other recent events have raised the need to better understand and manage it. The chapter makes the case for the value of a conceptual framework in helping clinicians and patients to better understand, manage, and ultimately tolerate the uncertainties they experience, (...) and provides an overview of the book. (shrink)

This article explores the question of how scientific uncertainty can be managed in medical decision making using the Advisory Committee on Immunization Practices as a case study. It concludes that where a high degree of technical consensus exists about the evidence and data, decision makers act according to a clear decision rule. If a high degree of technical consensus does not exist and uncertainty abounds, the decision will be based on a variety of criteria, including readily available (...) resources, decision-process constraints, and the available knowledge base, among other things. Decision makers employ a variety of heuristic devices and techniques, thereby employing a pragmatic approach to uncertainty in medical decision making. The article concludes with recommendations for managing scientific uncertainty in medical decision making. (shrink)

BackgroundIn gender-affirming medical care (GAMC), ethical challenges in decision-making are ubiquitous. These challenges are becoming more pressing due to exponentially increasing referrals, politico-legal contestation, and divergent normative views regarding decisional roles and models. Little is known, however, about what ethical challenges related to decision-making healthcare professionals (HCPs) themselves face in their daily work in GAMC and how these relate to, for example, the subjective nature of Gender Incongruence (GI), the multidisciplinary character of GAMC and the role HCPs play in (...) assessing GI and eligibility for interventions. Given the relevance and urgency of these questions, we conducted a qualitative study among HCPs providing GAMC to transgender adults in the Netherlands.MethodsIn this qualitative research, we conducted 11 semi-structured interviews between May 2020 and February 2021 with HCPs (six mental health professionals, two HCPs in endocrinology, two in plastic surgery, and one in nursing) working in two distinct GAMC settings. We purposively sampled for professional background and years of experience in GAMC. We analyzed our interview data using thematic analysis. As some respondents were more inclined to speak about what should or ought to be done to arrive at good or right decision-making, we identified both ethical challenges and norms. Furthermore, in our analysis, we differentiated between respondents’ explicit and implicit ethical challenges and norms and ascertained the specific context in which these challenges emerged.ResultsRespondents’ ethical challenges and norms centered on (1) dividing and defining decisional roles and bounds, (2) negotiating decision-making in a (multidisciplinary) team, and (3) navigating various decision-making temporalities. These themes arose in the context of uncertainties regarding (1) GAMC’s guidelines, evidence, and outcomes, as well as (2) the boundaries and assessment of GI.ConclusionsThis interview study provides detailed empirical insight into both the explicit and implicit ethical challenges that HCPs experience and their ethical norms regarding decision-making. It also describes how uncertainties and (implicit) normativities concerning GAMC and GI pre-structure the moral environment in which these challenges and norms manifest. We provide normative reflections and recommendations on handling these ethical challenges in a way that is sensitive to the context in which they arise. (shrink)

Chloë G. K. Atkins, My Imaginary Illness: A Journey into Uncertainty and Prejudice in Medical Diagnosis, Ithaca, NY: Cornell University Press, 2010, reviewed by Frances R. Batzer.

"The medical establishment has become a major threat to health. The disabling impact of professional control over medicine has reached the proportions of an epidemic. Iatrogenesis, the name for this new epidemic, comes from iatros, the Greek word for physician, and genesis, meaning origin. Discussion of the disease of medical progress has moved up on the agendas of medical conferences, researchers concentrate on the sick-making powers of diagnosis and therapy, and reports on paradoxical damage caused by cures (...) for sickness take up increasing space in medical dope-sheets [...] The public has been alerted to the perplexity and uncertainty of the best among its hygienic caretakers [...] This book argues that panic is out of place. Thoughtful public discussion of the iatrogenic pandemic, beginning with an insistence upon demystification of all medical matters, will not be dangerous to the commonweal."-- from Introduction. (shrink)

Disorders of Consciousness (DoCs) raise difficult and complex questions about the value of life for persons with impaired consciousness, the rights of persons unable to make medical decisions, and our social, medical, and ethical obligations to patients whose personhood has frequently been challenged and neglected. Recent neuroscientific discoveries have led to enhanced understanding of the heterogeneity of these disorders, and focused renewed attention on the medical and ethical problem of misdiagnosis. -/- This book examines the entanglement of (...) epistemic and ethical uncertainty in DoCs and other medical contexts, and how they interact to create both epistemic and ethical risks. Philosopher and bioethicist L. Syd M Johnson pulls together multiple threads in this work: the ontological mysteries of consciousness, medical uncertainty about unconsciousness, ableist bias, withdrawal of treatment in neurointensive care, and the rarely questioned view that consciousness is essential to personhood and moral status. Johnson challenges longstanding bioethical dogmas about DoC patients, and argues for an ethics of uncertainty for contexts where there is a need for decisive action in the presence of unavoidable uncertainty. The ethics of uncertainty refocuses ethical inquiry concerning persons with DoCs, placing less emphasis on their contested personhood, and more on inductive risk and uncertainty, on respect for autonomy, and especially on epistemic justice. With applications to various decisional contexts where uncertainty and ethical risk interact, this ethical approach enables surrogate decision makers facing fraught and risky choices to fulfill their obligations as moral and epistemic agents. (shrink)

The evidence-based practice and evidence-based medicine movements have promoted standardization through guideline development methodologies based on systematic reviews and meta-analyses of best available research. EBM has challenged clinicians to question their reliance on practical reasoning and clinical judgement. In this paper, we argue that the protagonists of EBM position their mission as reducing uncertainty through the use of standardized methods for knowledge evaluation and use. With this drive towards uniformity, standardization and control comes a suspicion towards intuition, creativity and (...) uncertainty as integral parts of medical practice. We question the appropriateness of attempts to standardize professional practice through a discussion of the importance of uncertainty. Greenhalgh’s taxonomy of uncertainty is used to inform an analysis of the clinical reasoning occurring in a potentially life threatening emergency situation with a young patient. The case analysis is further developed by the use of the Canadian philosopher Bernard Lonergan’s theory about understanding and objective knowing. According to Lonergan it is not by getting rid of or even by reducing uncertainty, but by attending systematically to it and by relating to it in a self-conscious way, that objective knowledge can be obtained. The paper concludes that uncertainty is not a regrettable and unavoidable aspect of decision making but a productive component of clinical reasoning. (shrink)

This book explores the ethical implications of managing uncertainty in clinical decision-making during the COVID-19 pandemic. It develops an ethics of clinical uncertainty that brings together insights from the clinical and biomedical ethical literatures. The book sets out to recognize the central role uncertainty plays in clinical decision-making and to acknowledge the different levels, kinds, and dimensions of clinical uncertainty. It also aims to aid clinicians and patients in managing clinical uncertainty, and to recognize the (...) ethical duty they have to manage clinical uncertainty. The book addresses four ethical duties related to clinical uncertainty: (1) the duty to advance the welfare of those in clinical medicine, (2) to respect the rights of those in clinical medicine, (3) to promote just access to health care, and (4) to care for one another in clinical medicine. These duties took on select urgency during the COVID-19 pandemic because clinical risk assessments about COVID-19 were limited, we were asked to give informed consent in the context of limited and changing knowledge, the pandemic unearthed myriad problems about the distribution of health care, and the pandemic raised questions about how we care for each other in medicine. An Ethics of Clinical Uncertainty will appeal to scholars, advanced students, and medical professionals working in philosophy of medicine, biomedical ethics, clinical medicine, nursing, public health care, and gerontology. (shrink)

Decision-makers face severe uncertainty when they are not in a position to assign precise probabilities to all of the relevant possible outcomes of their actions. Such situations are common—novel medical treatments and policies addressing climate change are two examples. Many decision-makers respond to such uncertainty in a cautious manner and are willing to incur a cost to avoid it. There are good reasons for taking such an uncertainty-averse attitude to be permissible. However, little work has been (...) done to incorporate it into an egalitarian theory of distributive justice. We aim to remedy this lack. We put forward a novel, uncertainty-averse egalitarian view. We analyse when the aims of reducing inequality and limiting the burdens of severe uncertainty are congruent and when they conflict, and highlight practical implications of the proposed view. We also demonstrate that if uncertainty aversion is permissible, then utilitarians must relinquish a favourite argument against egalitarianism. (shrink)

Medicalization is frequently defined as a process by which some non-medical aspects of human life become to be considered as medical problems. Overdiagnosis, on the other hand, is most often defined as diagnosing a biomedical condition that in the absence of testing would not cause symptoms or death in the person’s lifetime. Medicalization and overdiagnosis are related concepts as both expand the extension of the concept of disease. They are both often used normatively to critique unwarranted or contested (...) expansion of medicine and to address health services that are considered to be unnecessary, futile, or even harmful. However, there are important differences between the concepts, as not all cases of overdiagnosis are medicalizations and not all cases of medicalizations are overdiagnosis. The objective of this article is to clarify the differences between medicalization and overdiagnosis. It will demonstrate how the subject matter of medicalization traditionally has been non-medical (social or cultural everyday life) phenomena, while the subject matter of overdiagnosis has been biological or biomolecular conditions or processes acknowledged being potentially harmful. They also refer to different types of uncertainty: medicalization is concerned with indeterminacy, while overdiagnosis is concerned with lack of prognostic knowledge. Medicalization is dealing with sickness (sick role) while overdiagnosis with disease. Despite these differences, medicalization and overdiagnosis are becoming more alike. Medicalization is expanding, encompassing the more “technical” aspects of overdiagnosis, while overdiagnosis is becoming more ideologized. Moreover, with new trends in modern medicine, such as P4 (preventive, predictive, personal, and participatory) medicine, medicalization will become all-encompassing, while overdiagnosis more or less may dissolve. In the end they may converge in some total “iatrogenization.” In doing so, the concepts may lose their precision and critical sting. (shrink)

The practice of evidence based medicine has changed the role of the physician from information dispenser to gatherer and analyser. Studies and controlled trials that may contain unknown errors, or uncertainties, are the primary sources for evidence based decisions in medicine. These sources may be corrupted by a number of means, such as inaccurate statistical analysis, statistical manipulation, population bias, or relevance to the patient in question. Regardless of whether any of these inaccuracies are apparent, the uncertainty of their (...) presence in physician information should be disclosed to the patient. These uncertainties are not, however, shared by physicians with patients, and have caused a direct increase in patient responsibilities and mistrust. Only when disclosure of uncertainty becomes commonplace in medical practice will the physician/patient relationship evolve to a level of greater understanding and satisfaction for both the physician and patient. (shrink)

There is a profound paradox in modern medical knowledge production: The more we know, the more we know that we (still) do not know. Nowhere is this more visible than in diagnostics and early detection of disease. As we identify ever more markers, predictors, precursors, and risk factors of disease ever earlier, we realize that we need knowledge about whether they develop into something experienced by the person and threatening to the person’s health. This study investigates how advancements in (...) science and technology alter one type of uncertainty, i.e., temporal uncertainty of disease diagnosis. As diagnosis is related to anamnesis and prognosis it identifies how uncertainties in all these fields are interconnected. In particular, the study finds that uncertainty in disease diagnosis has become more subject to prognostic uncertainty because diagnosis is more connected to technologically detected indicators and less closely connected to manifest and experienced disease. These temporal uncertainties pose basic epistemological and ethical challenges as they can result in overdiagnosis, overtreatment, unnecessary anxiety and fear, useless and even harmful diagnostic odysseys, as well as vast opportunity costs. The point is not to stop our quest for knowledge about disease but to encourage real diagnostic improvements that help more people in ever better manner as early as possible. To do so, we need to pay careful attention to specific types of temporal uncertainty in modern diagnostics. (shrink)

Uncertainty is a necessary condition for the sound moral and scientific conduct of research involving human subjects. If the expert scientific communities, medical or otherwise, lacked uncertainty about the interventions under investigation, it would be unethical to knowingly subject individuals to inferior or harmful treatment. Moreover, if the relative merits of the interventions were previously established, as indicated by the lack of uncertainty within the relevant expert community, the results of the trial would be of little, (...) if any, scientific value. Despite the important role that uncertainty plays in the formulation and conduct of research involving human subjects, the concept has received inadequate treatment in the research ethics literature. To the limited extent that uncertainty is addressed, much of the emphasis remains on the ethical, not epistemic, aspects of uncertainty. What is left insufficiently examined is the nature and scope of the uncertainty. Often, uncertainty is glossed as agnosticism, indifference, and conflict. Yet these terms represent distinct types of uncertainty, and the type that obtains impacts the epistemic and ethical justifications for a proposed trial. A failure to recognize and clearly articulate the parameters of uncertainty in particular situations compromises our ability to respond to important moral and scientific concerns in the development and conduct of research. This problem is particularly pronounced in public health research that investigates problems resulting not only from uncertainties in scientific knowledge but from institutional failures, economic and social constraints, and lack of political will. Indeed, the role of research in public health is tied to its capacities to successfully navigate such complex questions. The way in which a study is designed and carried out, as well as ethically and scientifically justified, must reflect a robust and systematic characterization of the uncertainties present. Using an example from a study examining the efficacy of using treated sewage sludgeto remediate lead-contaminated soil, I explore and analyze the aforementioned deficiencies in understanding uncertainty among researchers and ethicists. The case study serves as a vehicle through which to illustrate (1) important considerations in characterizing and addressing uncertainty; (2) the influence of the uncertainty characterization on the formulation of parameters used to evaluate the ethical permissibility of the research; and (3) ways in which these parameters might be operationalized in the context of a particular study. (shrink)

This book offers a philosophically-based, yet clinically-oriented perspective on current medical reasoning aiming at 1) identifying important forms of uncertainty permeating current clinical reasoning and practice 2) promoting the application of an abductive methodology in the health context in order to deal with those clinical uncertainties 3) bridging the gap between biomedical knowledge, clinical practice, and research and values in both clinical and philosophical literature. With a clear philosophical emphasis, the book investigates themes lying at the border between (...) several disciplines, such as medicine, nursing, logic, epistemology, and philosophy of science; but also ethics, epidemiology, and statistics. At the same time, it critically discusses and compares several professional approaches to clinical practice such as the one of medical doctors, nurses and other clinical practitioners, showing the need for developing a unified framework of reasoning, which merges methods and resources from many different clinical but also non-clinical disciplines. In particular, this book shows how to leverage nursing knowledge and practice, which has been considerably neglected so far, to further shape the interdisciplinary nature of clinical reasoning. Furthermore, a thorough philosophical investigation on the values involved in health care is provided, based on both the clinical and philosophical literature. The book concludes by proposing an integrative approach to health and disease going beyond the so-called “classical biomedical model of care”. (shrink)

In the Australian state of Victoria, legislation allowing voluntary assisted dying (VAD) passed through parliament in November 2017. There was then an eighteen-month period before the start date for patient access to VAD, referred to as the “implementation period.” The implementation period was intended to allow time for the relevant government department and affected organizations to develop processes before the Act came into effect in June 2019. This qualitative interview study investigates the perspectives of a multidisciplinary sample of twelve clinicians (...) from a single metropolitan hospital during this implementation period. Maximum variation sampling was utilized to ensure breadth across discipline (medical, nursing, allied health), speciality, and stated level of support for the VAD legislation. Four key themes were identified from the interview data: preparing for the unknown, ethical diversity within the organization, building a respectful culture, and concerns about the inability of the legislated approach to capture clinical nuances. Overall, these clinicians’ workplace experiences during the implementation period were shaped by the ethical diversity within their organization and a sense of uncertainty about how the VAD legislation would integrate with the practical realities of their clinical setting. The concept of “ethical diversity” could be a useful one for supporting staff in an organization during a VAD implementation period. (shrink)

In ‘Patients, doctors and risk attitudes,’ Makins argues that, when physicians must decide for, or act on behalf of, their patients they should defer to patient risk attitudes for many of the same reasons they defer to patient values, although with a caveat: physicians should defer to the higher-order desires of patients when considering their risk attitudes. This modification of what Makins terms the ‘deference principle’ is primarily driven by potential counterexamples in which a patient has a first-order desire with (...) one risk attitude (either risk-seeking or averse) and a second-order desire that this risk attitude not be effective in guiding their choices.1 There are two reasons we might think people with obsessive–compulsive disorder (OCD) are particularly relevant patients for evaluating Makins’ proposal. Not only might their first-order risk attitudes be irrational, but many people with OCD also judge their own OCD behaviours to be excessive or unwarranted making them structurally similar to the counterexamples outlined above. Yet, I argue that recent research about risk and decision-making under uncertainty for those with OCD complicates Makins’ proposal by raising questions of whether and to what degree their risk attitudes are irrational such that they should not play a part in the surrogate decisions made by physicians. This places more …. (shrink)

It may soon be possible to generate human organs inside of human-pig chimeras via a process called interspecies blastocyst complementation. This paper discusses what arguably the central ethical concern is raised by this potential source of transplantable organs: that farming human-pig chimeras for their organs risks perpetrating a serious moral wrong because the moral status of human-pig chimeras is uncertain, and potentially significant. Those who raise this concern usually take it to be unique to the creation of chimeric animals with (...) ‘humanised’ brains. In this paper, we show how that the same style of argument can be used to critique current uses of non-chimeric pigs in agriculture. This reveals an important tension between two common moral views: that farming human-pig chimeras for their organs is ethically concerning, and that farming non-chimeric pigs for food or research is ethically benign. At least one of these views stands in need of revision. (shrink)

Medical necessity (claiming that a medical intervention or care is – at minimum – reasonable, appropriate and acceptable) depends on empirical evidence and on the interpretation of that evidence. Evidence and its interpretation define the standard of care. This commentary argues that both the evidence base and its interpretation are currently weak gatekeepers. Empirical meta-research suggests that very few medical interventions have high quality evidence in support of their effectiveness and very few of them also have relatively (...) thorough assessments of their potential harms. Therefore, evidence on the risk-benefit ratios carries almost always very large uncertainty. Arbitration about medical necessity is thus left to the interpretation process. Professional guidelines are notoriously unreliable and biased in this regard. Regulatory approval ends up being the key arbitrator, but over the years the regulatory process has been subverted. Regulatory approval currently does not mean that an intervention has a favourable risk-benefit ratio, but simply that it can be marketed, sold and made profit from. The process leads to a tragedy of commons where the final victim is society at large: medical necessity is invoked as an alibi for medicine to absorb societal resources. (shrink)

In the case that triggered this round-table discussion there are three separate factors that contribute to moral uncertainty.1 First, the infant, baby T, is extremely premature with suspected brain injury and potentially poor prognosis. Second, the gestational mother is critically unwell herself and her outlook is guarded. Third, as linked commentaries make clear, the legal status of the intended parents is complex and ambiguous.2 3 Any of these factors on their own would be enough to generate ethical complexity and (...) distress in the neonatal intensive care unit. The combination of the three is likely to be highly stressful for all concerned.4 Commentaries on the case emphasise the complex legal questions and the potential need to involve the court. One resource that is not mentioned is the potential value of clinical ethics input in such a case. This is complementary to the need for legal advice. Its aim would be to help think through the specifically ethical, rather than legal questions. There are several things that I would aim to clarify if chairing a clinical ethics discussion on the case. First, it may be useful to draw on the concept of the …. (shrink)

It is well-recognized that uncertainty is an endemic feature and limitation of clinical judgment and practice that cannot be eliminated in many cases. Among the tasks of clinical ethics is the responsible management of uncertainties, first articulated in E. Haavi Morreim’s very nice concept of the "moral management of medical uncertainty." The papers in the 2012 Clinical Ethics issue of the Journal provide philosophically innovative and clinically applicable accounts of the varieties of uncertainty in clinical medicine (...) and therefore in clinical ethics: epistemic uncertainty, metaphysical uncertainty, and relational uncertainty. (shrink)

How should we treat patients diagnosed with disorders of consciousness, such as patients diagnosed as minimally conscious or vegetative (yet who very well may be conscious)? Fischer and Truog (2017) argue that the consciousness and equal rights of these patients are relatively unimportant when deciding how we should treat them. That is, we should deemphasize their consciousness and equal rights and instead privilege the value judgments of the family/surrogate. We disagree. Drawing upon precautionary reasoning that we develop in Braddock (2017), (...) we contend that the consciousness and equal rights of these patients should be important factors in medical decision making, at least as important as the value judgments of the family/surrogate. (shrink)

In a recent article, Steel, Buchak and Eyal argue that current levels of uncertainty do not present a good reason to bar controlled human infection trials of COVID-19 vaccines from proceeding. We argue that their argumentation for this conclusion is flawed. SBE are mistaken about the effects which different forms of ignorance have on participants’ ability to provide valid informed consent. Decision-makers considering whether to allow such trials, we argue, must ultimately consider the likelihood that consent to participation in (...) such trials under current conditions would be valid, and whether this likelihood is high enough to permit such trials. This is a question that SBE completely ignore. We conclude that there indeed are valid concerns about conducting CHI trials given the current state of knowledge about COVID-19, concerns which SBE fail to address. (shrink)

Hilary Bowman-Smart et al. (2023) have rightly pointed out that one of the recurring criticisms of the use of noninvasive prenatal testing (NIPT) for non-medical trait prediction is the probabilist...

ABSTRACTMedical diagnosis is sometimes used by critical realists and others as an exemplar of a form of inference across time in which a current empirical observation points backwards to the conditions of its emergence and forwards to a possible future outcome or progression. Accordingly, its practice warrants critical exploration to confirm its legitimacy as a philosophical reference point. The strengths and weakness of the exemplar are appraised using case brief case studies. The limitations of medical diagnosis are discussed in (...) the wider context of the sociology of medical knowledge, the social determinants of ill-health and the role of commercial interests in shaping diagnostic practice. The conclusion is cautious, not nihilistic. Diachronic inference in medicine, as in other disciplines working in and with open systems, can be respected for its advantages to humanity. However, this brings with it the perennial caution of epistemic humility and a needed tolerance of uncertainty.. (shrink)

Modern health data practices come with many practical uncertainties. In this paper, I argue that data subjects’ trust in the institutions and organizations that control their data, and their ability to know their own moral obligations in relation to their data, are undermined by significant uncertainties regarding the what, how, and who of mass data collection and analysis. I conclude by considering how proposals for managing situations of high uncertainty might be applied to this problem. These emphasize increasing organizational (...) flexibility, knowledge, and capacity, and reducing hazard. (shrink)

'Uncertainty and chance' is a subject with a broad span, in that there is no academic discipline or walk of life that is not beset by uncertainty and chance. In this book a range of approaches is represented by authors from varied disciplines: natural sciences, mathematics, social sciences and medical sciences. At one extreme, this volume is concerned with the foundations of probability. At the other extreme, we have scholars who acknowledge the concept of chance and (...) class='Hi'>uncertainty but do not cope with it by means of systematic measurement or quantative analysis. (shrink)