Machine learning-driven clinical decision support systems (ML-CDSSs) seem impressively promising for future routine and emergency care. However, reflection on their clinical implementation reveals a wide array of ethical challenges. The preferences, concerns and expectations of professional stakeholders remain largely unexplored. Empirical research, however, may help to clarify the conceptual debate and its aspects in terms of their relevance for clinical practice. This study explores, from an ethical point of view, future healthcare professionals’ attitudes to potential (...) changes of responsibility and decision-making authority when using ML-CDSS. Twenty-seven semistructured interviews were conducted with German medical students and nursing trainees. The data were analysed based on qualitative content analysis according to Kuckartz. Interviewees’ reflections are presented under three themes the interviewees describe as closely related: (self-)attribution of responsibility, decision-making authority and need of (professional) experience. The results illustrate the conceptual interconnectedness of professional responsibility and its structural and epistemic preconditions to be able to fulfil clinicians’ responsibility in a meaningful manner. The study also sheds light on the four relata of responsibility understood as a relational concept. The article closes with concrete suggestions for the ethically sound clinical implementation of ML-CDSS. (shrink)

This paper demonstrates how argumentation schemes can be used in decision support systems that help clinicians in making treatment decisions. The work builds on the use of computational argumentation, a rigorous approach to reasoning with complex data that places strong emphasis on being able to justify and explain the decisions that are recommended. The main contribution of the paper is to present a novel set of specialised argumentation schemes that can be used in the context of a (...) class='Hi'>clinical decision support system to assist in reasoning about what treatments to offer. These schemes provide a mechanism for capturing clinical reasoning in such a way that it can be handled by the formal reasoning mechanisms of formal argumentation. The paper describes how the integration between argumentation schemes and formal argumentation may be carried out, sketches how this is achieved by an implementation that we have created and illustrates the overall process on a small set of case studies. (shrink)

Research regarding the drivers of acceptance of clinical decision support systems by physicians is still rather limited. The literature that does exist, however, tends to focus on problems regarding the user-friendliness of CDSS. We have performed a thematic analysis of 24 interviews with physicians concerning specific clinical case vignettes, in order to explore their underlying opinions and attitudes regarding the introduction of CDSS in clinical practice, to allow a more in-depth analysis of factors underlying acceptance (...) of CDSS. We identified three general themes from the results. First, ‘the perceived role of the AI’, including items referring to the tasks that may properly be assigned to the CDSS according to the respondents. Second, ‘the perceived role of the physician’, referring to the aspects of clinical practice that were seen as being fundamentally ‘human’ or non-automatable. Third, ‘concerns regarding AI’, including items referring to more general issues that were raised by the respondents regarding the introduction of CDSS in general and/or in clinical medicine in particular. Apart from the overall concerns expressed by the respondents regarding user-friendliness, we will explain how our results indicate that our respondents were primarily occupied by distinguishing between parts of their job that should be automated and aspects that should be kept in human hands. We refer to this distinction as ‘the division of clinical labor.’ This division is not based on knowledge regarding AI or medicine, but rather on which parts of a physician’s job were seen by the respondents as being central to who they are as physicians and as human beings. Often the respondents’ view that certain core parts of their job ought to be shielded from automation was closely linked to claims concerning the uniqueness of medicine as a domain. Finally, although almost all respondents claimed that they highly value their final responsibility, a closer investigation of this concept suggests that their view of ‘final responsibility’ was not that demanding after all. (shrink)

BackgroundMachine learning-based clinical decision support systems (ML_CDSS) are increasingly employed in various sectors of health care aiming at supporting clinicians’ practice by matching the characteristics of individual patients with a computerised clinical knowledge base. Some studies even indicate that ML_CDSS may surpass physicians’ competencies regarding specific isolated tasks. From an ethical perspective, however, the usage of ML_CDSS in medical practice touches on a range of fundamental normative issues. This article aims to add to the ethical discussion (...) by using professionalisation theory as an analytical lens for investigating how medical action at the micro level and the physician–patient relationship might be affected by the employment of ML_CDSS.Main textProfessionalisation theory, as a distinct sociological framework, provides an elaborated account of what constitutes client-related professional action, such as medical action, at its core and why it is more than pure expertise-based action. Professionalisation theory is introduced by presenting five general structural features of professionalised medical practice: (i) the patient has a concern; (ii) the physician deals with the patient’s concern; (iii) s/he gives assistance without patronising; (iv) s/he regards the patient in a holistic manner without building up a private relationship; and (v) s/he applies her/his general expertise to the particularities of the individual case. Each of these five key aspects are then analysed regarding the usage of ML_CDSS, thereby integrating the perspectives of professionalisation theory and medical ethics.ConclusionsUsing ML_CDSS in medical practice requires the physician to pay special attention to those facts of the individual case that cannot be comprehensively considered by ML_CDSS, for example, the patient’s personality, life situation or cultural background. Moreover, the more routinized the use of ML_CDSS becomes in clinical practice, the more that physicians need to focus on the patient’s concern and strengthen patient autonomy, for instance, by adequately integrating digital decision support in shared decision-making. (shrink)

Background Given that AI-driven decision support systems (AI-DSS) are intended to assist in medical decision making, it is essential that clinicians are willing to incorporate AI-DSS into their practice. This study takes as a case study the use of AI-driven cardiotography (CTG), a type of AI-DSS, in the context of intrapartum care. Focusing on the perspectives of obstetricians and midwives regarding the ethical and trust-related issues of incorporating AI-driven tools in their practice, this paper explores the conditions (...) that AI-driven CTG must fulfill for clinicians to feel justified in incorporating this assistive technology into their decision-making processes regarding interventions in labor. Methods This study is based on semi-structured interviews conducted online with eight obstetricians and five midwives based in England. Participants were asked about their current decision-making processes about when to intervene in labor, how AI-driven CTG might enhance or disrupt this process, and what it would take for them to trust this kind of technology. Interviews were transcribed verbatim and analyzed with thematic analysis. NVivo software was used to organize thematic codes that recurred in interviews to identify the issues that mattered most to participants. Topics and themes that were repeated across interviews were identified to form the basis of the analysis and conclusions of this paper. Results There were four major themes that emerged from our interviews with obstetricians and midwives regarding the conditions that AI-driven CTG must fulfill: (1) the importance of accurate and efficient risk assessments; (2) the capacity for personalization and individualized medicine; (3) the lack of significance regarding the type of institution that develops technology; and (4) the need for transparency in the development process. Conclusions Accuracy, efficiency, personalization abilities, transparency, and clear evidence that it can improve outcomes are conditions that clinicians deem necessary for AI-DSS to meet in order to be considered reliable and therefore worthy of being incorporated into the decision-making process. Importantly, healthcare professionals considered themselves as the epistemic authorities in the clinical context and the bearers of responsibility for delivering appropriate care. Therefore, what mattered to them was being able to evaluate the reliability of AI-DSS on their own terms, and have confidence in implementing them in their practice. (shrink)

Statistics is the science of collection, summarizing, presentation and interpretation of data. Moreover, it yields methods used in the verification of research hypotheses. The presence of a statistician in a research group remarkably improves both the quality of design and research and the optimization of financial resources. Moreover, the involvement of a statistician in a research team helps the physician to effectively utilize the time and energy spent on diagnosing, which is an important aspect in view of limited healthcare resources. (...) Precise, properly designed and implemented Computerized Clinical Decision Support Systems certainly lead to the improvement of healthcare and the quality of medical services, which increases patient satisfaction and reduces financial burdens on healthcare systems. (shrink)

Making good decisions in extremely complex and difficult processes and situations has always been both a key task as well as a challenge in the clinic and has led to a large amount of clinical, legal and ethical routines, protocols and reflections in order to guarantee fair, participatory and up-to-date pathways for clinical decision-making. Nevertheless, the complexity of processes and physical phenomena, time as well as economic constraints and not least further endeavours as well as achievements in (...) medicine and healthcare continuously raise the need to evaluate and to improve clinical decision-making. This article scrutinises if and how clinical decision-making processes are challenged by the rise of so-called artificial intelligence-driven decision support systems (AI-DSS). In a first step, this article analyses how the rise of AI-DSS will affect and transform the modes of interaction between different agents in the clinic. In a second step, we point out how these changing modes of interaction also imply shifts in the conditions of trustworthiness, epistemic challenges regarding transparency, the underlying normative concepts of agency and its embedding into concrete contexts of deployment and, finally, the consequences for (possible) ascriptions of responsibility. Third, we draw first conclusions for further steps regarding a ‘meaningful human control’ of clinical AI-DSS. (shrink)

Physicians and other healthcare professionals are increasingly finding ways to use artificial intelligent decision support systems in their work. IBM Watson Health, for example, is a commercially available technology that is providing AI-DDS services in genomics, oncology, healthcare management and more.1 AI’s ability to scan massive amounts of data, detect patterns, and derive solutions from data is vastly more superior than that of humans. AI technology is undeniably integral to the future of healthcare and public health, and thoughtful (...) consideration of the legal, ethical and moral issues surrounding this technology is a must. The authors of the article, Responsibility, Second Opinions, and Peer-Disagreement—Ethical and Epistemological Challenges of Using AI in Clinical Diagnostic Contexts, provide an informed discussion of how AI-DSS may be used, both practically and ethically, to assist healthcare professionals in cooperative diagnostic processes2. The authors propose a process, whereby AI-DSS would provide a physician a second opinion, and when there is a mismatch between opinions, another physician would provide a third opinion. This approach maintains a ‘physician-in-charge’ perspective, and suggests that decision-making must ultimately be made by a person. This approach is also consistent with the ‘physician in-the-loop’ concept, such that even when increasingly autonomous AI-DSSs are put to use, physicians will still be providing checks and overseeing clinical decisions. The authors conceptualise AI as a replacement of human cognitive labour. That is, AI is used to supplant a human professional in particular functions …. (shrink)

The paper reports results of the very first survey-based study on the prevalence, frequency and nature of ethical or other non-medical difficulties faced by Polish physicians in their everyday clinical practice. The study involved 521 physicians of various medical specialties, practicing mainly in inpatient healthcare. The study showed that the majority of Polish physicians encounter ethical and other non-medical difficulties in making clinical decisions. However, they confront such difficulties less frequently than their foreign peers. Moreover, Polish doctors indicate (...) different circumstances as a source of the experienced problems. The difficulties most often reported relate to (i) patients (or their proxies) requests for medically non-indicated interventions; (ii) problems with communication with patients (or their proxies) due to the patients’ negative attitude, unwillingness to cooperate, or aggression; and (iii) various difficulties with obtaining informed consent. Polish physicians report difficulties associated with disagreements among care givers or scarcity of resources less frequently than doctors from other countries. The study’s findings provide support for the thesis that a significant portion of Polish physicians still follow a traditional, paternalistic, and hierarchical model of healthcare practice. Instead of promoting patient’s empowerment, engagement, and rights, they often consider these ideas as a threat to physicians’ professional authority and autonomy. The study leads to the conclusion that due to insufficient training in medical ethics, communication skills, and medical law, many Polish physicians lack the knowledge and competence necessary to adequately respond to challenges posed by modern healthcare practice. (shrink)

Background: Clinical ethics support services have been advocated in recent decades. In clinical practice, clinical ethics support services are often requested for difficult decisions near the end of life. However, their contribution to improving healthcare has been questioned and demands for evaluation have been put forward. Research indicates that there are considerable challenges associated with defining adequate outcomes for clinical ethics support services. In this systematic review, we report findings of qualitative studies and (...) surveys, which have been conducted to evaluate clinical ethics support services near the end of life. Methods: Electronic databases and other sources were queried from 1970 to May 2018. Two authors screened studies independently. Methodological quality of studies was assessed. For each arm of the review, an individual synthesis was performed. Prospero ID: CRD42016036241. Ethical Considerations: Ethical approval is not needed as it is a systematic review of published literature. Results: In all, 2088 hits on surveys and 2786 on qualitative studies were found. After screening, nine surveys and four qualitative studies were included. Survey studies report overall positive findings using a very wide and heterogeneous range of outcomes. Negative results were reported only occasionally. However, methodological quality and conceptual justification of used outcomes was often weak and limits generalizability of results. Conclusion: Evidence points to positive outcomes of clinical ethics support services. However, methodological quality needs to be improved. Further qualitative or mixed-method research on evaluating clinical ethics support services may contribute to the development of evaluating outcomes of clinical ethics support services by means of broaden the range of appropriate (process-oriented) outcomes of (different types of) clinical ethics support services. (shrink)

Background: International developments suggest that providing clinical ethics services to help clinicians negotiate ethical issues that arise in clinical practice is beneficial and reflects best practice in promoting high ethical standards and patient-centered care. The aim of this study was to explore the needs and experiences of clinical staff members to inform the development of future clinical ethics support. Methods: Health professionals at a large regional health service completed an online survey containing questions about the (...) frequency of ethical and legal issues encountered in clinical practice, the type of situations that gave rise to the ethical and/or legal uncertainty or concern, how clinicians currently address these issues, and what support would be welcome. Results: The survey was completed by 369 staff members, including 61% with more than 10 years in the profession and 51% in nursing/midwifery. Two-thirds (66%) indicated they often considered ethical implications of their clinical decisions, and half (49%) often considered the legal implications. More than half (58%) were often/occasionally concerned about the ethically right thing to do. Patient requests for borderline treatment (47%), staff disagreements about patient care (48%), and patients declining recommended treatment (54%) were the most frequent reasons given for ethical or legal uncertainty. Sixty-nine percent of respondents indicated that the way their department addressed ethical issues could be improved and 85% agreed that there is a need for more discussion on ethical issues. The majority (82%) of respondents had encountered ethically challenging clinical situations where additional support would have helped. Common approaches to issues were discussion with colleagues/supervisor (91.1%), discussion at handover/group forums (50.8%), and consultation with guidelines/protocols (60.9%). Conclusions: A majority of clinical staff members surveyed have encountered ethically/legally challenging cases daily for which they have often sought additional advice. This study indicates that many clinical staff members would welcome some form of additional clinical ethics support including advice and education. (shrink)

The pace of change and, indeed, the sheer number of clinical ethics committees has accelerated during the COVID-19 pandemic. Committees were formed to support healthcare professionals and to operationalise, interpret and compensate for gaps in national and professional guidance. But as the role of clinical ethics support becomes more prominent and visible, it becomes ever more important to address gaps in the support structure and misconceptions as to role and remit. The recent case of Great (...) Ormond Street Hospital for Children NHS Foundation Trust v MX, FX and X, [21]–[23] and [58]) has highlighted the importance of patient/family representation at clinical ethics committee meetings. The court viewed these meetings as making decisions about such treatment. We argue that this misunderstands the role of ethics support, with treatment decisions remaining with the clinical team and those providing their consent. The considered review by clinical ethics committees of the moral issues surrounding complex treatment decisions is not a matter of determining a single ethical course of action. In this article, we consider current legal understandings of clinical ethics committees, explore current concepts of ethics support and suggest how they may evolve, considering the various mechanisms of the inclusion of patients and their representatives in ethics meetings which is not standard in the UK. (shrink)

Emotions play an important part in moral life. Within clinical ethics support (CES), one should take into account the crucial role of emotions in moral cases in clinical practice. In this paper, we present an Aristotelian approach to emotions. We argue that CES can help participants deal with emotions by fostering a joint process of investigation of the role of emotions in a case. This investigation goes beyond empathy with and moral judgment of the emotions of the (...) case presenter. In a moral case deliberation, the participants are invited to place themselves in the position of the case presenter and to investigate their own emotions in the situation. It is about critically assessing the facts in the case that cause the emotion and the related (moral) thoughts that accompany the emotion. It is also about finding the right emotion in a given situation and finding the right balance in dealing with that emotion. These steps in the moral inquiry give rise to group learning. It is a process of becoming open towards the perspectives of others, leading to new insights into what is an appropriate emotion in the specific situation. We show how this approach works in moral case deliberation. A physician presents a situation in which he is faced with a pregnant woman who is about to deliver multiple extremely premature infants at the threshold of viability. The moral deliberation of the case and the emotions therein leads to the participants’ conclusion that “compassion” is a more adequate emotion than “sadness”. The emotion “sadness” is pointed towards the tragedy that is happening to the woman. The emotion “compassion” is pointed towards the woman; it combines consideration and professional responsibility. Through the shift towards compassion, participants experienced more creativity and freedom to deal with the sad situation and to support the woman. The paper ends with an analysis and reflection on the deliberation process. In the conclusion we argue for more attention to emotions in clinical ethics support and offer some directions for doing this in the right way. (shrink)

In clinical practice, decision-making is not performed by individual knowers but by an assemblage of people and instruments in which no one member has full access to every piece of evidence. This is due to decision making teams consisting of members with different kinds of expertise, as well as to organisational and time constraints. This raises important questions for the epistemology of medicine, which is inherently social in this kind of setting, and implies epistemic dependence on others. (...) Trust in these contexts is a highly complex social practice, involving different forms of relationships between trust and reasons for trust: based on reasons, and not based on reasons; based on reasons that are easily accessible to reflection and others that are not. In this paper, we focus on what it means to have reasons to trust colleagues in an established clinical team, collectively supporting or carrying out every day clinical decision-making. We show two important points about these reasons, firstly, they are not sought or given in advance of a situation of epistemic dependence, but are established within these situations; secondly they are implicit in the sense of being contained or nested within other actions that are not directly about trusting another person. The processes of establishing these reasons are directly about accomplishing a task, and indirectly about trusting someone else’s expertise or competence. These processes establish a space of reasons within which what it means to have reasons for trust, or not, gains a meaning and traction in these team-work settings. Based on a qualitative study of decision-making in image assisted diagnosis and treatment of a complex disease called pulmonary hypertension (PH), we show how an intersubjective framework, or ‘space of reasons’ is established through team members forging together a common way of identifying and dealing with evidence. In dealing with images as a central diagnostic tool, this also involves a common way of looking at the images, a common mode or style of perception. These frameworks are developed through many iterations of adjusting and calibrating interpretations in relation to those of others, establishing what counts as evidence, and ranking different kinds of evidence. Implicit trust is at work throughout this process. Trusting the expertise of others in clinical decision-making teams occurs while the members of the team are busy on other tasks, most importantly, building up a framework of common modes of seeing, and common ways of identifying and assessing evidence emerge. It is only in this way that trusting or mistrusting becomes meaningful in these contexts, and that a framework for epistemic dependence is established. (shrink)

In clinical practice, decision-making is not performed by individual knowers but by an assemblage of people and instruments in which no one member has full access to every piece of evidence. This is due to decision making teams consisting of members with different kinds of expertise, as well as to organisational and time constraints. This raises important questions for the epistemology of medicine, which is inherently social in this kind of setting, and implies epistemic dependence on others. (...) Trust in these contexts is a highly complex social practice, involving different forms of relationships between trust and reasons for trust: based on reasons, and not based on reasons; based on reasons that are easily accessible to reflection and others that are not. In this paper, we focus on what it means to have reasons to trust colleagues in an established clinical team, collectively supporting or carrying out every day clinical decision-making. We show two important points about these reasons, firstly, they are not sought or given in advance of a situation of epistemic dependence, but are established within these situations; secondly they are implicit in the sense of being contained or nested within other actions that are not directly about trusting another person. The processes of establishing these reasons are directly about accomplishing a task, and indirectly about trusting someone else’s expertise or competence. These processes establish a space of reasons within which what it means to have reasons for trust, or not, gains a meaning and traction in these team-work settings. Based on a qualitative study of decision-making in image assisted diagnosis and treatment of a complex disease called pulmonary hypertension, we show how an intersubjective framework, or ‘space of reasons’ is established through team members forging together a common way of identifying and dealing with evidence. In dealing with images as a central diagnostic tool, this also involves a common way of looking at the images, a common mode or style of perception. These frameworks are developed through many iterations of adjusting and calibrating interpretations in relation to those of others, establishing what counts as evidence, and ranking different kinds of evidence. Implicit trust is at work throughout this process. Trusting the expertise of others in clinical decision-making teams occurs while the members of the team are busy on other tasks, most importantly, building up a framework of common modes of seeing, and common ways of identifying and assessing evidence emerge. It is only in this way that trusting or mistrusting becomes meaningful in these contexts, and that a framework for epistemic dependence is established. (shrink)

Clinical ethical support services (CESS) represent a multifaceted field of aims, consultancy models, and methodologies. Nevertheless, the overall aim of CESS can be summed up as contributing to healthcare of high ethical standards by improving ethically competent decision-making in clinical healthcare. In order to support clinical care adequately, CESS must pay systematic attention to all real-life ethical issues, including those which do not fall within the ‘favourite’ ethical issues of the day. In this paper (...) we attempt to capture a comprehensive overview of categories of ethical tensions in clinical care. We present an analytical exposition of ethical structural features in judgement-based clinical care predicated on the assumption of the moral equality of human beings and the assessment of where healthcare contexts pose a challenge to achieving moral equality. The account and the emerging overview is worked out so that it can be easily contextualized with regards to national healthcare systems and specific branches of healthcare, as well as local healthcare institutions. By considering how the account and the overview can be applied to i) improve the ethical competence of healthcare personnel and consultants by broadening their sensitivity to ethical tensions, ii) identify neglected areas for ethical research, and iii) clarify the ethical responsibility of healthcare institutions' leadership, as well as specifying required institutionalized administration, we conclude that the proposed account should be considered useful for CESS. (shrink)

In this paper we assume that ‘theory’ is important for Clinical Ethics Support Services (CESS). We will argue that the underlying implicit theory should be reflected. Moreover, we suggest that the theoretical components on which any clinical ethics support (CES) relies should be explicitly articulated in order to enhance the quality of CES.A theoretical framework appropriate for CES will be necessarily complex and should include ethical (both descriptive and normative), metaethical and organizational components. The various forms (...) of CES that exist in North-America and in Europe show their underlying theory more or less explicitly, with most of them referring to some kind of theoretical components including ‘how-to’ questions (methodology), organizational issues (implementation), problem analysis (phenomenology or typology of problems), and related ethical issues such as end-of-life decisions (major ethical topics).In order to illustrate and explain the theoretical framework that we are suggesting for our own CES project METAP, we will outline this project which has been established in a multi-centre context in several healthcare institutions. We conceptualize three ‘pillars’ as the major components of our theoretical framework: (1) evidence, (2) competence, and (3) discourse. As a whole, the framework is aimed at developing a foundation of our CES project METAP.We conclude that this specific integration of theoretical components is a promising model for the fruitful further development of CES. (shrink)

In this paper we assume that ‘theory’ is important for Clinical Ethics Support Services (CESS). We will argue that the underlying implicit theory should be reflected. Moreover, we suggest that the theoretical components on which any clinical ethics support (CES) relies should be explicitly articulated in order to enhance the quality of CES.A theoretical framework appropriate for CES will be necessarily complex and should include ethical (both descriptive and normative), metaethical and organizational components. The various forms (...) of CES that exist in North‐America and in Europe show their underlying theory more or less explicitly, with most of them referring to some kind of theoretical components including ‘how‐to’ questions (methodology), organizational issues (implementation), problem analysis (phenomenology or typology of problems), and related ethical issues such as end‐of‐life decisions (major ethical topics).In order to illustrate and explain the theoretical framework that we are suggesting for our own CES project METAP, we will outline this project which has been established in a multi‐centre context in several healthcare institutions. We conceptualize three ‘pillars’ as the major components of our theoretical framework: (1) evidence, (2) competence, and (3) discourse. As a whole, the framework is aimed at developing a foundation of our CES project METAP.We conclude that this specific integration of theoretical components is a promising model for the fruitful further development of CES. (shrink)

Clinical ethical support services (CESS) represent a multifaceted field of aims, consultancy models, and methodologies. Nevertheless, the overall aim of CESS can be summed up as contributing to healthcare of high ethical standards by improving ethically competent decision‐making in clinical healthcare. In order to support clinical care adequately, CESS must pay systematic attention to all real‐life ethical issues, including those which do not fall within the ‘favourite’ ethical issues of the day. In this paper (...) we attempt to capture a comprehensive overview of categories of ethical tensions in clinical care. We present an analytical exposition of ethical structural features in judgement‐based clinical care predicated on the assumption of the moral equality of human beings and the assessment of where healthcare contexts pose a challenge to achieving moral equality. The account and the emerging overview is worked out so that it can be easily contextualized with regards to national healthcare systems and specific branches of healthcare, as well as local healthcare institutions. By considering how the account and the overview can be applied to i) improve the ethical competence of healthcare personnel and consultants by broadening their sensitivity to ethical tensions, ii) identify neglected areas for ethical research, and iii) clarify the ethical responsibility of healthcare institutions' leadership, as well as specifying required institutionalized administration, we conclude that the proposed account should be considered useful for CESS. (shrink)

Transtheoretical integrative decision-making models help clinicians to use patient factors that are known to predict outcomes in order to inform individualized treatment. Patient factors with a strong evidence base include: functional impairment, social support and interpersonal functioning, complexity and comorbidity, coping style, level of resistance, and subjective distress. Among those with binge-eating disorder (BED), patient factors have not been extensively characterized relative to norms or other clinical samples. We used an integrative decision-making model of these six (...) domains of patient factors related to patient outcomes to characterize a sample of 424 adult treatment-seeking patients with BED. Data were from medical charts, a demographics questionnaire, and validated psychometric scales. We then compared these data to published data from normative and other eating disorder (ED) samples. Results showed that the average patient with BED: (1) was significantly more functionally impaired compared to non-clinical norms but somewhat less impaired than other patients with ED, (2) demonstrated clinically significant problems in social support and interpersonal functioning, (3) presented with complex comorbid pathology and high levels of chronicity, (4) used a more internalizing coping style compared to the norm and other ED samples, (5) had low levels of resistance to interventions, and (6) experienced a moderately high level of subjective distress indicating good motivation for treatment. Corresponding recommendations to these findings are that the average patient with BED should be provided higher intensity treatment that is longer in duration, interpersonally-focused, directive in nature, and emphasizing self-reflection and insight. Despite the nomothetic nature of the findings, clinicians are encouraged to assess these patient domains in order to come to an ideographic case conceptualization and to tailor precision treatment to the individual patient with BED. (shrink)

Background Although the importance of clinical ethics in contemporary clinical environments is established, development of formal clinical ethics services in the Australia health system has, to date, been ad hoc. This study was designed to systematically follow and reflect upon the first 18 months of activity by a newly established service, to examine key barriers and facilitators to establishing a new service in an Australian hospital setting. Methods: how the study was performed and statistical tests used A (...) qualitative case study approach was utilised. The study gathered and analysed data using observations of service committee meetings, document analysis of agendas and minutes, and semi-structured interviews with committee members to generate semantic themes. By interpreting the thematic findings in reference to national capacity building resources, this study also aimed to provide practice-based reflections for other health agencies. Results: the main findings An overarching theme identified in the data was a strong commitment to supporting clinicians facing difficult patient care decisions and navigating difficult discussions with patients and families. Another key theme was the role of the new clinical ethics support service in providing clinicians with a pathway to raise system-wide issues with the organisation Executive. While there was strong clinical engagement, consumer and community participation remained a challenge, as did unresolved governance issues and a need for clearer policy relationship between the service and the organisation. Conclusions: brief summary and potential implications Considering these themes in relation to the national capacity building resources, the study identifies three areas likely to require ongoing development and negotiation. These are: the role of the clinical ethics support service as a link between the workforce and the Executive; the incorporation of consumers and patients; and ethical reasoning. To improve the effectiveness of the service, it is necessary to increase clarity on the service’s role at the governance and policy level, as well as develop strategies for engaging consumers, patients and families. Finally, the capacity of the service to reflect on complex cases may be enhanced through explicit discussions of various different ethical frameworks and ways of deliberating. (shrink)

BackgroundVarious forms of Clinical Ethics Support (CES) have been developed in health care organizations. Over the past years, increasing attention has been paid to the question of how to foster the quality of ethics support. In the Netherlands, a CES quality assessment project based on a responsive evaluation design has been implemented. CES practitioners themselves reflected upon the quality of ethics support within each other’s health care organizations. This study presents a qualitative evaluation of this Responsive (...) Quality Assessment (RQA) project.MethodsCES practitioners’ experiences with and perspectives on the RQA project were collected by means of ten semi-structured interviews. Both the data collection and the qualitative data analysis followed a stepwise approach, including continuous peer review and careful documentation of the decisions.ResultsThe main findings illustrate the relevance of the RQA with regard to fostering the quality of CES by connecting to context specific issues, such as gaining support from upper management and to solidify CES services within health care organizations. Based on their participation in the RQA, CES practitioners perceived a number of changes regarding CES in Dutch health care organizations after the RQA: acknowledgement of the relevance of CES for the quality of care; CES practices being more formalized; inspiration for developing new CES-related activities and more self-reflection on existing CES practices.ConclusionsThe evaluation of the RQA shows that this method facilitates an open learning process by actively involving CES practitioners and their concrete practices. Lessons learned include that “servant leadership” and more intensive guidance of RQA participants may help to further enhance both the critical dimension and the learning process within RQA. (shrink)

Peterson, Karlawish, and Largent’s “Supported Decision Making with People at the Margins of Autonomy” brings welcome attention to the rights of people with cognitive impairment and provides...

Despite concerns about the relationships between health professionals and the medical device industry, the issue has received relatively little attention. Prevalence data are lacking; however, qualitative and survey research suggest device industry representatives, who are commonly present in clinical settings, play a key role in these relationships. Representatives, who are technical product specialists and not necessarily medically trained, may attend surgeries on a daily basis and be available to health professionals 24 hours a day, 7 days a week, to (...) provide advice. However, device representatives have a dual role: functioning as commissioned sales representatives at the same time as providing advice on approaches to treatment. This duality raises the concern that clinical decision-making may be unduly influenced by commercial imperatives. In this paper, we identify three key ethical concerns raised by the relationship between device representatives and health professionals: impacts on healthcare costs, the outsourcing of expertise and issues of accountability and informed consent. These ethical concerns can be addressed in part through clarifying the boundary between the support and sales aspects of the roles of device representatives and developing clear guidelines for device representatives providing support in clinical spaces. We suggest several policy options including hospital provision of expert support, formalising clinician conduct to eschew receipt of meals and payments from industry and establishing device registries. (shrink)

Resnik and Pugh recently explored the ethical implications of routinely integrating environmental concerns into clinical decision-making. While we share their concern for the holistic well-being of patients, our response offers a different clinical and bioethical stance on green informed consent and patient autonomy. Contrary to the authors’ lack of data to support their concerns about provider and patient willingness to engage in climate-related conversations, we provide evidence supporting their sustainability engagement and stress the importance of a (...) proactive, anticipatory approach in healthcare to align with evolving societal values. If climate change is perceived as a politicised issue, though it is not inherently so, healthcare providers are professionally trained to address sensitive subjects and have a duty to inform patients about potential health risks. Recognising the environmental crisis as a health crisis underscores the direct connection between environmental hazards and patients’ well-being. Our perspective advocates for integrating individual considerations, societal responsibilities and systemic changes to promote environmentally sustainable healthcare. (shrink)

The UK Genethics Club was established in November 2001 in order to provide a national forum of ethics support for the profession of clinical genetics in the UK. The forum brings together health professionals, medical ethicists and lawyers and support is provided through detailed discussion of cases and sharing of good practice. Clinical genetics professionals had previously voiced concerns about making extremely difficult ethical decisions, with profound implications, in something of a vacuum. Professionals saw a lack (...) of guidance in the area and lack of time for discussion of difficult cases as reasons for this. This paper describes the origins of the group and gives (anonymized) examples of some of the types of issues discussed. (shrink)

In this article I consider two pertinent questions that practitioners must consider when they deploy an algorithmic system as support in clinical shared decision‐making. The first question concerns how to interpret and assess the significance of different performance measures for clinical decision‐making. The second question concerns the professional obligations that practitioners have to communicate information about the quality of an algorithm's output to patients in light of the principles of autonomy, beneficence, and justice. In the (...) article I review the four standard performance measures used to evaluate and validate algorithms, outline their role in the discussion of algorithmic fairness, and discuss the professional responsibilities that practitioners face when communicating information about these measures to patients. (shrink)

It is now broadly accepted that disability is a concept infused with both descriptive and evaluative meaning, such that invoking the concept of disability necessarily involves making judgements of moral value as well as describing certain facts about individuals. This paper aims to map the complex terrain that shapes our current understandings of disability by outlining five distinct ‘discourses of disability’. It is shown how the similarities and differences between the discourses hinge on different ways of making sense of the (...) descriptive and evaluative dimensions of the concept, and the relationships between these dimensions. The paper concludes by considering the specific implications that these different ways of elucidating the concept of disability might have for the provision of clinical ethics support, both in terms of shaping ethical decision-making relating to people with disabilities and in terms of framing the process of providing clinical ethics support itself. (shrink)

Although clinical ethics support services are becoming increasingly prevalent in Europe and North America, they remain an uncommon feature of the Irish healthcare system and Irish health professionals lack formal support when faced with ethically challenging cases. We have developed a variant on existing clinical ethics decision-making tools which is designed to build capacity and confidence amongst Irish practitioners and enable them to confront challenging situations in the absence of any dedicated support structure. The (...) tool provided below follows a transparent stepwise procedure which avoids an overcomplicated analysis while remaining sensitive to the complexity of the issues addressed. The novelty of the tool lies in the explicit association it makes between each step in the process and one or more responsibilities based on established norms of ethical decision-making in the public domain. (shrink)

BackgroundHealthcare providers have to make ethically complex clinical decisions which may be a source of stress. Researchers have recently introduced Artificial Intelligence (AI)-based applications to assist in clinical ethical decision-making. However, the use of such tools is controversial. This review aims to provide a comprehensive overview of the reasons given in the academic literature for and against their use.MethodsPubMed, Web of Science, Philpapers.org and Google Scholar were searched for all relevant publications. The resulting set of publications was (...) title and abstract screened according to defined inclusion and exclusion criteria, resulting in 44 papers whose full texts were analysed using the Kuckartz method of qualitative text analysis.ResultsArtificial Intelligence might increase patient autonomy by improving the accuracy of predictions and allowing patients to receive their preferred treatment. It is thought to increase beneficence by providing reliable information, thereby, supporting surrogate decision-making. Some authors fear that reducing ethical decision-making to statistical correlations may limit autonomy. Others argue that AI may not be able to replicate the process of ethical deliberation because it lacks human characteristics. Concerns have been raised about issues of justice, as AI may replicate existing biases in the decision-making process.ConclusionsThe prospective benefits of using AI in clinical ethical decision-making are manifold, but its development and use should be undertaken carefully to avoid ethical pitfalls. Several issues that are central to the discussion of Clinical Decision Support Systems, such as justice, explicability or human–machine interaction, have been neglected in the debate on AI for clinical ethics so far.Trial registrationThis review is registered at Open Science Framework (https://osf.io/wvcs9). (shrink)

Objective Gather information from physicians about factors contributing to unnecessary noninvasive imaging and impact of possible solutions. Methods Qualitative study of 14 physicians using a phenomenological approach and the Theoretical Domains Framework. Results Most participants self-reported that >10% of the imaging tests they order are unnecessary. External sources of pressure included: peer-review, patient demands, nursing expectations, specialist requests, as well as prior experience with patient advocates, and the compensation and pension system. Internal sources of pressure included reliance on anecdote, self-doubt (...) about diagnoses, and fear of missing a diagnosis and of professional liability. Participants expressed both optimism and concern about potential solutions, such as adopting decision support software. Conclusion Physicians are under pressure from multiple sources to order unnecessary imaging. Peer review, nursing expectations, and perceptions about Veteran compensation and pension are newly reported contributing factors. (shrink)

Artificial intelligence (AI) systems are increasingly being used in healthcare, thanks to the high level of performance that these systems have proven to deliver. So far, clinical applications have focused on diagnosis and on prediction of outcomes. It is less clear in what way AI can or should support complex clinical decisions that crucially depend on patient preferences. In this paper, we focus on the ethical questions arising from the design, development and deployment of AI systems to (...) support decision-making around cardiopulmonary resuscitation and the determination of a patient’s Do Not Attempt to Resuscitate status (also known as code status). The COVID-19 pandemic has made us keenly aware of the difficulties physicians encounter when they have to act quickly in stressful situations without knowing what their patient would have wanted. We discuss the results of an interview study conducted with healthcare professionals in a university hospital aimed at understanding the status quo of resuscitation decision processes while exploring a potential role for AI systems in decision-making around code status. Our data suggest that (1) current practices are fraught with challenges such as insufficient knowledge regarding patient preferences, time pressure and personal bias guiding care considerations and (2) there is considerable openness among clinicians to consider the use of AI-based decision support. We suggest a model for how AI can contribute to improve decision-making around resuscitation and propose a set of ethically relevant preconditions—conceptual, methodological and procedural—that need to be considered in further development and implementation efforts. (shrink)

Recruitment processes for clinical trials are governed by guidelines and regulatory systems intended to ensure participation is informed and voluntary. Although the guidelines and systems provide some protection to potential participants, current recruitment processes often result in limited understanding and experiences of inadequate decision support. Many trials also have high drop-out rates among participants, which are ethically troubling because they can be indicative of poor experiences and they limit the usefulness of the knowledge the trials were designed (...) to generate. Drawing on recent social-psychological and philosophical-ethical research on trial recruitment and patient participation in treatment decision-making, this paper identifies possibilities for improving communicative support for both initial decisions and ongoing participation in clinical trials. It highlights the potential of a shift in thinking about ‘voluntariness’, underpinned by relational understandings of autonomy, to encourage more nuanced judgements about the ethics of communication between trial staff and (potential) participants. The paper suggests that the idea of responsively enabling people to consider invitations or requests to participate in particular trials could serve as a general guide to communication. This might help ensure decisions about trial participation are meaningfully informed and voluntary, and that relationships between trial staff and participants contribute to positive experiences of trial participation and ultimately to the generation of the robust knowledge. (shrink)

The state of the art of contemporary philosophy and psychiatry is reviewed. Section 1 describes the new field as an international open society of ideas. Section 2 introduces values-based practice. Although originally a philosophy-into-practice initiative, values-based practice is now developing more strongly in areas of bodily medicine such as surgery. An example from surgery illustrates how values-based practice has been implemented as a partner to evidence-based practice in supporting shared clinical decision-making as the basis of best practice in (...) contemporary person-centered clinical care. Section 3 explores the difficulties presented by implementing values-based practice in mental health as illustrated by a case example of anorexia. This shows that these difficulties derive from the particularly intense challenges of values pluralism presented by anorexia. The resources of phenomenology provide the basis for an effective response to these challenges. Section 4 generalizes the argument of Section 3 showing that an effective response to the wider range of challenges of values pluralism arising across the board in mental health is available from the resources of the international open society of ideas of contemporary philosophy and psychiatry. The article concludes with a promissory note on values and a cautionary note on science. (shrink)

The purpose of this article is to provide a short overview of the condition of clinical ethics committees (CECs) and other forms of the so-called "ethics support" infrastructure. This includes but is not limited to CECs because some countries also have ethics consultation services that function independently from the CECs. It seems that properly structured CECs and other types of ethics support have a potential to act as facilitators of ethically sensitive healthcare decision-making. This goal can (...) be achieved if the ethics support infrastructure becomes an integral part of the healthcare institution where the majority of ethical dilemmas and the need for ethical debate arise. At the same time, CECs can become a useful tool for implementing bioethical standards developed at both national and international levels, including those established by the Council of Europe instruments. This is the main reason why the issue of developing clinical ethics support services might be very important for the Steering Committee on Bioethics (CDBI) of the Council of Europe. More specifically, the question is what special role ethics support services can play in the context of the follow up to the Council of Europe Symposium in the decision-making process regarding medical treatment in end-of-life situations (Strasbourg, 30 November-1 December). Very often, cases to be considered by the CECs and ethics consultants deal with the difficult end-of-life treatment choices. (shrink)

Shared decision making has become the standard of care, yet there remains no consensus about how it should be conducted. Most accounts are concerned with threats to patient autonomy, and they address the dangers of a power imbalance by foregrounding the patient as a person whose complex preferences it is the practitioner's task to support. Other corrective models fear that this level of mutuality risks abdicating the practitioner's responsibilities as an expert, and they address that concern by recovering (...) a nuanced but genuinely directive clinical role. Cribb and Entwistle helpfully categorize models of shared decision making as ‘narrower’ and ‘broader’ and praise the latter's ‘open‐ended and fully dialogical ways of relating’. However, they stop short of providing a philosophical account of how that dialogue works. In this paper, a nurse–midwife and a philosopher collaborate to argue that the Socratic model of dialogue offers a solution to the practitioner–patient dilemma. In the Theaetetus, Socrates compares dialogical reasoning to ‘midwifery with all its standard features’. By means of a three‐way analogy, elements of midwifery practice are used to illuminate features of Socrates' claim that his dialogue is like midwifery; those features are then translated into an approach to shared decision making as the ‘midwifery of good thinking’ which both midwives and physicians would do well to adopt. A key concept that emerges is the need for practitioners to make a risk‐confidence assessment of the particular content of any decision to appropriately modulate their role in the practice of shared decision making. (shrink)

Background Non-invasive prenatal testing (NIPT), which can screen for aneuploidies such as trisomy 21, is being implemented in several public healthcare systems across Europe. Comprehensive communication and information have been highlighted in the literature as important elements in supporting women’s reproductive decision-making and addressing relevant ethical concerns such as routinisation. Countries such as England and France are adopting broadly similar implementation models, offering NIPT for pregnancies with high aneuploidy probability. However, we do not have a deeper understanding of how (...) professionals’ counselling values and practices may differ between these contexts. Methods In this paper, we explore how professionals in England and France support patient decision-making in the provision of NIPT and critically compare professional practices and values. We draw on data from semi-structured interviews with healthcare professionals. Results Both English and French professionals emphasised values relating to patient choice and consent. However, understandings and application of these values into the practice of NIPT provision differed. English interviewees placed a stronger emphasis on interpreting and describing the process of counselling patients and clinical care through a “principle” lens. Their focus was on non-directiveness, standardisation, and the healthcare professional as “decision-facilitator” for patients. French interviewees described their approach through a “procedural” lens. Their focus was on formal consent, information, and the healthcare professional as “information-giver”. Both English and French professionals indicated that insufficient resources were a key barrier in effectively translating their values into practice. Conclusion Our findings illustrate that supporting patient choice in the provision of NIPT may be held as an important value in common on a surface level, but can be understood and translated into practice in different ways. Our findings can guide further research and beneficially inform practice and policy around NIPT provision. (shrink)

While many have suggested that to withdraw medical interventions is ethically equivalent to withholding them, the moral complexity of actually withdrawing life supportive interventions from a patient cannot be ignored. Utilizing interplay between expository and narrative styles, and drawing upon our experiences with patients, families, nurses, and physicians when life supports have been withdrawn, we explore the changeable character of boundaries in end-of-life situations. We consider ways in which boundaries imply differences – for example, between cognition and performance – and (...) how the encounter with boundaries can generate altered meanings important for understanding decisions and actions in these contexts. We conclude that the reliance on mere roles to support the moral weight of withdrawing medical interventions is inadequate. Roles that lead us to such moments are exceeded by the responsibility encountered in such moments. And here, we suggest, is the momentous character of withdrawal: it presents the grave astonishment, the trembling awe, in the not-being-there of the other in death. (shrink)

Supported decision making, as outlined by Peterson et al. highlights real-world challenges in the messy context of clinical care. We agree with Peterson et al. that patients...

Infertility treatment is a speciality that has attracted considerable attention both from the public and bioethicists. The focus of this attention has mainly been on the dramatic dilemmas created by theses technologies. Relatively little is known, however, about how clinicians approach and resolve ethical issues on an everyday basis. The central aim of this study is to gain insight into these neglected aspects of practice. It was found that, for the clinicians, the process by which ethical decisions were made was (...) of key importance. It will be argued that this focus on the process of decision-making is more than just empty proceduralism but is based on and facilitates certain substantive ethical principles. In conclusion, suggestions as to how ethical decision-making processes can be supported and improved in infertility practice will be made. (shrink)