The integration of technology in care is core business in nursing and this role requires that we must understand and use technology informed by evidence that goes much deeper and broader than actions and behaviours. We need to delve more deeply into its complexity because there is nothing minor or insignificant about technology as a major influence in healthcare outcomes and experiences. Evidence is needed that addresses technology and nursing from perspectives that examine the effects of technology, especially related (...) to increasing demands for efficiency, the relationship of technology to nursing and caring, and a range of philosophical questions associated with empowering people in their healthcare choices. Specifically, there is a need to confront in practice the ways technique influences care. Technique is the creation of a kind of thinking that is necessary for contemporary healthcare technology to develop and be applied in an efficient and rational manner. Technique is not an entity or specific thing, but rather a way of thinking that seeks to shape and organize nursing activity, and manage efficiently individual difference(s) in care. It emphasizes predetermined causal relationships, conformity, and sameness of product, process, and thought. In response is needed a radical vision of nursing that attempts in a real sense to ensure we meet the needs of individuals and their community. Activism and advocacy are needed, and a willingness to create a certain detachment from the imperatives that technique demands. It is argued that our responsibility as nurses is to respond in practice to the errors, advantages, difficulties, and temptations of technology for the benefit of those who most need our assistance and care. (shrink)

The integration of artificial intelligence (AI) into healthcare and research introduces sophisticated diagnostic and treatment capabilities but also raises significant ethical challenges from development to deployment and evaluation, requiring comprehensive ethical training and interdisciplinary collaboration to ensure the responsible use of AI technologies. The “CONNECT with AI”- Collaborative Opportunity to Navigate and Negotiate Ethical Challenges and Trials with Artificial Intelligence) workshop was a three-day event, engaging multi-institutional interdisciplinary and interprofessional participants (both industry professionals and academicians) from diverse fields (...) such as Medicine, Dentistry, Nursing, Engineering, Law, and Allied Health Sciences from India. There was equal distribution of participants from diverse fields. A mixed-method approach utilizing pre- and post-workshop assessments, confidence level surveys and thematic analyses of small group discussions and open-ended questions to evaluate the impact of the workshop on participants’ ethical understanding and decision-making skills regarding AI. Post-workshop evaluations indicated a significant improvement in both theoretical knowledge and practical application of AI ethics, with assessment scores rising markedly from pre-workshop levels (p < 0.0001). Confidence in handling ethical dilemmas related to AI saw substantial increases across all domains, particularly in ensuring patient privacy and data security (p < 0.0001). Qualitative feedback highlighted diverse perceptions and sector-specific concerns about AI, emphasizing the importance of customized ethical guidelines and the integration of AI into healthcare practices. The workshop effectively enhanced participants’ competence and confidence in addressing AI-related ethical issues, demonstrating the critical role of interprofessional education in fostering an ethical AI implementation framework. Continuous, interdisciplinary and interprofessional training is essential to navigate the evolving ethical landscape of AI in healthcare, ensuring safe, effective, and responsible technology use. (shrink)

The unprecedented development of medical informatics is constantly transforming the concept of expertise in medical sciences in a way that has far-reaching consequences for both the theory of knowledge and the philosophy of informatics. Deep medicine is based on the assumption that medical diagnosis should take into account the wide array of possible health factors involved in the diagnostic process, such as not only genome analysis alone, but also the metabolome (analysis of all body metabolites important for e.g. drug-drug interactions), (...) microbiome (i.e. analysis of all bodily microorganisms interacting with host cells) or exposome (analysis of all environmental factors triggering potentially harmful cell mutations, such as UV radiation, heavy metals, various carcinogens, etc.). Deep data analysis is of tantamount importance for personalized diagnosis but, at the same time, hardly achievable by a regular human being. However, adequately designed artificial intelligence (e.g. a deep neural network) can undeniably be of great help for finding correlations between symptoms and underlying diseases. Nowadays AI applies to nearly every aspect of medicine, starting from the data analysis of scientific literature, through the diagnostic process, to the act of communication between physicians and their patients. Medical image processing algorithms greatly enhance the chances of successful recognition of melanoma or intestinal polyps. Communication tools designed for physicians use techniques known from social media to provide users with an opportunity to consult the case with colleagues from the same discipline. Natural language processing tools significantly improve doctor-patient communication by the automation of note-taking. Is this enough to support the claim that the non-epistemic competences in medicine are becoming more and more important? Can we attribute expertise only to a person? How is medical informatics changing the way most people usually understand human-computer interactions? (shrink)

Self-tracking-technologies can serve as a prominent example of how digital technologies put to test established practices, institutions, and structures of medicine and healthcare. While proponents emphasize the potentials, e.g., for individualized healthcare and new research data, opponents stress the risk that these technologies will reinforce gender-related inequalities. -/- While this has been made clear from—often intersectional—feminist perspectives since the introduction of such technologies, we aim to provide a queer-feminist perspective on self-tracking applications in (...) class='Hi'>healthcare by analyzing three concrete cases. In this way, we want to show why such a perspective is helpful in assessing self-tracking technologies and how such a perspective might contribute to a queering of healthcare. -/- After a short introduction to self-tracking in healthcare and the corresponding risks of reproducing gender-related inequalities, we introduce queer bioethics as a methodology to examine structural discrimination and marginalization in bioethical research. We apply this framework in the analysis of three exemplary self-tracking applications from the areas of nutrition/fitness, reproductive health, and mental health. In the subsequent discussion of these results against the backdrop of already existing queer-sensitive technologies, we identify an equal access, a subversive design, an inclusive database, and a diversity-sensitive and discriminatory-critical definition of purposes as well as individualized usage possibilities as first possible starting points for a queering of self-tracking applications. Finally, we draw conclusions, how such a critical perspective on self-tracking applications might also contribute to a queering of the healthcare system at a structural level. (shrink)

Innovative healthcare technologies may raise ethical concerns which prevent their implementation for fear of unexpected or undesirable outcomes, even before they are introduced into usual clinical practice. Essential to innovation is therefore to analyze benefits and drawbacks from a multidisciplinary point of view (i.e., biomedical, social, financial). Value-based healthcare is currently the most comprehensive theoretical framework to evaluate the benefits of healthcare technologies on patients and society in the longer term. Technically, “the systematic evaluation of (...) properties, effects and/or impacts of health technologies” must be performed by validated procedures of Health Technology Assessment (HTA), supported by early HTA procedures to retrieve preliminary evidence and expert opinions. The aim of this study is to perform an early HTA of germline editing technologies in order to estimate their impact on patients and society, in light of the recent, controversial debate which followed the germline gene editing of human embryos. (shrink)

Both developing and developed countries face an increasing mismatch between what patients expect to receive from healthcare and what the public healthcare systems can afford to provide. Where there has been a growing recognition of the entitlement to receive healthcare, the frustrated expectations with regards to the level of provision has led to lawsuits challenging the denial of funding for health treatments by public health systems. This book analyses the impact of courts and litigation on the way (...) health systems set priorities and make rationing decisions. In particular, it focuses on how the judicial protection of the right to healthcare can impact the institutionalization, functioning and centrality of Health Technology Assessment (HTA) for decisions about the funding of treatment. Based on the case study of three jurisdictions - Brazil, Colombia, and England - it shows that courts can be a key driver for the institutionalization of HTA. These case studies show the paradoxes of judicial control, which can promote accountability and impair it, demand administrative competence and undermine bureaucratic capacities. The case studies offer a nuanced and evidence-informed understanding of these paradoxes in the context of health care by showing how the judicial control of priority-setting decisions in health care can be used to require and control an explicit scheme for health technology assessment, but can also limit and circumvent it. (shrink)

Despite the great expansion and many benefits of information and communication technologies in healthcare, the attitudes of Polish general practitioners to e-health have not been explored. The aim of this study was to determine the GPs’ perception of ICT use in healthcare and to identify barriers to the adoption of EMR in the Podlaskie Voivodeship. Online and telephone surveys were conducted between April and May 2013. Responses from 103 GP practices, 43% of all practices in the region, (...) were analysed. The results showed that 67% of the respondents agreed that IT systems improve quality of healthcare services. In the GP group who declared at least partial EMR implementation, 71.4% see the positive impact of IT on practice staff processes and 66.1% on personal working processes. In this group, more than three-quarters of GPs did not see any positive impact of ICT on the average number of patients treated per day, number of patients within the practice or scope of services. The four most common barriers to EMR implementation were: lack of funds, risk of a malfunction in the system, resistance to change, and lack of training and proper information. Although the use of ICT by Polish GPs is limited, their attitude to e-health is generally positive or neutral and resembles the overall pattern in Europe. Barriers identified by GPs need to be taken into account to ensure the effective implementation of e-health across the country. (shrink)

This book shows the current state of research in the fields of health care and medicine, how the new technologies can be used for patient communication, health monitoring or for the treatment of patients.

This chapter discusses imaginary technologies that do not exist yet but are expected to be implemented in clinical work in the near future. Adopting a phenomenological view on the politics of organizational time, we illuminate how the rhetoric of futurity and protentional anticipation dominate managerial acts in healthcare organizations. This future-oriented management includes strategies of risk assessment, investments in emerging technologies, and other actions to reduce external uncertainty and move towards an enhanced capacity to cope with potential (...) challenges. However, we suggest that potentially harmful consequences of emerging technologies cannot be established reliably in advance by investigation, experiments, and risk assessments. The phenomenological notion of embodied information infrastructure allows us to consider how visions of complex technologies intertwine with clinical practices in healthcare professionals’ work. We use two examples of imaginary technologies—automated decision-making systems and care robotics—to concretize how the line between imaginary technologies and existing technologies becomes increasingly volatile in healthcare organizations. (shrink)

Background Global health systems operate amid dynamic factors, including demographic shifts, economic variations, political changes, technological progress, and societal trends that lead to VUCA reality (Volatility, Uncertainty, Complexity, and Ambiguity). To address these challenges, healthcare organizations are increasingly turning to Strategic Technological Processes and digital transformation. Research objective Against this background, the current study examined the personal experiences, conflicts, difficulties, and moral dilemmas attendant upon accommodating this digital transformation of healthcare professionals. Participants The study involved 27 healthcare (...) professionals working in Israeli hospitals, whose experiences and perspectives were central to understanding the impact of digital transformation in healthcare settings. Research design The study methodology rested on in-depth interviews, which were analyzed through the prism of the Listening Guide analytical technique. Ethical considerations The research obtained pre-approval from the Ethics Committee at the researcher’s institution. Findings The study revealed that the healthcare professionals are indeed facing ethical conflicts and personal challenges related to digitalization (such as providing the best quality of care, being the best caregiver, and acting for the betterment of the hospital). It also identified dilemmas resulting from conflicts between the needs and demands of the health system and the healthcare professionals’ values and resources. Discussion The study findings highlight the impact of ethical and moral challenges accompanying strategic organizational and digital transformation changes implemented by healthcare organizations worldwide. These challenges arise as healthcare institutions adapt to the demands of the 21st century, potentially leading to burnout and moral distress among healthcare professionals, further exacerbating the already stressful reality they face. Conclusion In conclusion, the study emphasizes the critical necessity for comprehensive support strategies to alleviate stress and burnout among healthcare professionals. As healthcare organizations and personnel navigate significant organizational changes to address contemporary challenges, prioritizing the well-being of healthcare workers through effective support mechanisms becomes imperative. (shrink)

Medical school curricula and postgraduate education programmes expend considerable resources teaching medical ethics. Simultaneously, whistleblowers’ agitation continues, at great personal cost, to prompt major intrainstitutional and public inquiries that reveal problems with the application of medical ethics at particular clinical “coalfaces”.Virtue ethics, emphasising techniques promoting an agent’s character and instructing their conscience, has become a significant mode of discourse in modern medical ethics. Healthcare whistleblowers, whose complaints are reasonable, made in good faith, in the public interest, and not vexatious, (...) we argue, are practising those obligations of professional conscience foundational to virtue based medical ethics. Yet, little extant virtue ethics scholarship seriously considers the theoretical foundations of healthcare whistleblowing.The authors examine whether healthcare whistleblowing should be considered central to any medical ethics emphasising professional virtues and conscience. They consider possible causes for the paucity of professional or academic interest in this area and examine the counterinfluence of a continuing historical tradition of guild mentality professionalism that routinely places relationships with colleagues ahead of patient safety.Finally, it is proposed that a virtue based ethos of medical professionalism, exhibiting transparency and sincerity with regard to achieving uniform quality and safety of health care, may be facilitated by introducing a technological imperative using portable computing devices. Their use by trainees, focused on ethical competence, provides the practical face of virtue ethics in medical education and practice. Indeed, it assists in transforming the professional conscience of whistleblowing into a practical, virtue based culture of self reporting and personal development. (shrink)

As human beings age, they become weak, fragile, and feeble. It is a slowly progressing yet complex syndrome in which old age or some disabilities are not prerequisites; neither does loss of human parts lead to frailty among the physically fit older persons. This paper aims to describe the influences of transhumanist perspectives on human‐technology enhancements and replacements in the transcendence of human frailties, including those of older persons, in which technology is projected to deliver solutions toward transcending these frailties. (...) Through technologies including genetic screening and other technological manipulations, intelligent machines and augmented humans improve, maintain, and remedy human‐linked susceptibilities. Furthermore, other technologies replace parts fabricated through inorganic‐mechanical processes such as 3D‐printing. Advancing technologies are reaching the summit of technological sophistication contributing to the transhumanist views of being human in a technological world. Technologies enhance the transcendence of human frailties as essential expressions of the symbiosis between human beings and technology in a transcendental world. (shrink)

In Bulgaria, integrating technology and innovation is crucial for advancing sustainable healthcare disaster management, enhancing disaster response and recovery, and minimizing long-term environmental and social impacts. The purpose of the study is to assess the impact of modern technological innovations on the effectiveness of disaster management in health care in Bulgaria with a focus on Health Information Systems (HIS), Telemedicine, Telehealth, e-Health, Electronic Health Records, Artificial Intelligence (AI), Public Communication Platforms, and Data Security and Privacy. These innovations, when integrated (...) effectively, can significantly strengthen Bulgaria's preparedness and response capabilities, improving efficiency and reducing the environmental footprint of disaster interventions. Collaboration with technology experts, research institutions, and international organizations is essential for successful implementation. The research aims to assess how these technologies can enhance disaster management efficacy, adopting a methodical approach using Systematic Literature Reviews (SLRs). Systematic Literature Reviews (SLRs) utilize precise criteria for research selection and evaluation to reduce bias, systematically compiling and analyzing data from various studies to offer evidence-based insights. They are crucial for uncovering research gaps, indicating areas needing further exploration. Findings highlight the transformative potential of technology integration in streamlining communication, data management, and operational efficiency. The study underscores the urgent need for an integrated approach and a culture of innovation within the healthcare sector, emphasizing ongoing assessment and adaptation of technology-based strategies. While acknowledging limitations and calling for further research, the study provides valuable insights into Bulgaria's healthcare disaster management strategies and sets the stage for future investigations to refine and expand upon these strategies. It advocates for a strategic framework guiding the efficient integration of technology into disaster management, aiming for resilient and patient-centric healthcare systems. (shrink)

Emerging technologies such as artificial intelligence are actively revolutionizing the healthcare industry. While there is widespread concern that these advances will displace human practitioners within the healthcare sector, there are several tasks – including original and nuanced ethical decision making – that they cannot replace. Further, the implementation of artificial intelligence in clinical practice can be anticipated to drive the production of novel ethical tensions surrounding its use, even while eliminating some of the technical tasks which currently (...) compete with ethical deliberation for clinicians’ limited time. A new argument therefore arises to suggest that although these disruptive technologies will change the face of medicine, they may also foster a revival of several fundamental components inherent to the role of healthcare professionals, chiefly, the principal activities of moral philosophy. Accordingly, “machine medicine” presents a vital opportunity to reinvigorate the field of bioethics, rather than withdraw from it. (shrink)

ML-HCAs have the potential to significantly change an entire healthcare system. It is not even necessary to presume that this will be disruptive but sufficient to assume that the mere adaptation of...

Background Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals’ lack of training in how to use it, the paper summarizes how to approach the challenges of AI from an ethical and legal perspective. It concludes with suggestions for improvements to help healthcare professionals better navigate the AI wave. Methods We analyzed the literature that specifically discusses ethics and law related to the development and implementation of AI (...) in healthcare as well as relevant normative documents that pertain to both ethical and legal issues. After such analysis, we created categories regrouping the most frequently cited and discussed ethical and legal issues. We then proposed a breakdown within such categories that emphasizes the different - yet often interconnecting - ways in which ethics and law are approached for each category of issues. Finally, we identified several key ideas for healthcare professionals and organizations to better integrate ethics and law into their practices. Results We identified six categories of issues related to AI development and implementation in healthcare: (1) privacy; (2) individual autonomy; (3) bias; (4) responsibility and liability; (5) evaluation and oversight; and (6) work, professions and the job market. While each one raises different questions depending on perspective, we propose three main legal and ethical priorities: education and training of healthcare professionals, offering support and guidance throughout the use of AI systems, and integrating the necessary ethical and legal reflection at the heart of the AI tools themselves. Conclusions By highlighting the main ethical and legal issues involved in the development and implementation of AI technologies in healthcare, we illustrate their profound effects on professionals as well as their relationship with patients and other organizations in the healthcare sector. We must be able to identify AI technologies in medical practices and distinguish them by their nature so we can better react and respond to them. Healthcare professionals need to work closely with ethicists and lawyers involved in the healthcare system, or the development of reliable and trusted AI will be jeopardized. (shrink)

The 2018 Varsity Medical Ethics debate convened upon the motion: “This house believes that the constant monitoring of our health does more harm than good”. This annual debate between students from the Universities of Oxford and Cambridge is now in its tenth year. This year’s debate was hosted at the Oxford Union on 8th of February 2018, with Oxford winning for the Opposition, and was the catalyst for the collation and expansion of ideas in this paper.New technological devices have the (...) potential to enhance patient autonomy, improve patient safety, simplify the management of chronic diseases, increase connectivity between patients and healthcare professionals and assist individuals to make lifestyle changes to improve their health. However, these are pitted against an encroachment of technology medicalising the individual and home, an exacerbation of health inequalities, a risk to the security of patient data, an alteration of the doctor-patient relationship dynamic and an infringement on individual self-identity. This paper will draw upon and develop these concepts, while contending arguments for and against constant health monitoring. This is not a review of medical devices and health monitoring, but a reflective development and more detailed elaboration of the main points highlighted in the 2018 Varsity Medical Ethics debate. (shrink)

The impact and use of Information and Communication Technologies (ICTs) in healthcare settings has been increasing since 2019. This is greatly due to the COVID‐19 pandemic. But beyond accommodating an extraordinary and complex situation in terms of healthcare services, or beyond replacing personalised care delivered by healthcare professionals (HCPs), has there been a process of information and consultation for communities and HCPs? Do we have the basic requirements needed to make such use commonplace in health care? (...) What will the impact be on communities and their governance? Have we arrived here by consensus or by imposition? Our purpose has been to conduct a transnational analysis by approaching communities, social actors, and healthcare professionals in three territories in a pilot study following a qualitative methodology. The aim being to discover the potential impact of such measures beyond the right to health and if such measures are compatible with the purpose of population settling in rural areas. Furthermore, to identify if this entails a conflict of value and priorities or if we need new ethical reviews both for communities and healthcare professionals. (shrink)

As the rising costs of lifestyle-related diseases place increasing strain on public healthcare systems, the individual’s role in disease may be proposed as a healthcare rationing criterion. Literature thus far has largely focused on retrospective responsibility in healthcare. The concept of prospective responsibility, in the form of a lifestyle contract, warrants further investigation. The responsibilisation in healthcare debate also needs to take into account innovative developments in mobile health technology, such as wearable biometric devices and mobile (...) apps, which may change how we hold others accountable for their lifestyles. Little is known about public attitudes towards lifestyle contracts and the use of mobile health technology to hold people responsible in the context of healthcare. This paper has two components. Firstly, it details empirical findings from a survey of 81 members of the United Kingdom general public on public attitudes towards individual responsibility and rationing healthcare, prospective and retrospective responsibility, and the acceptability of lifestyle contracts in the context of mobile health technology. Secondly, we draw on the empirical findings and propose a model of prospective intention-based lifestyle contracts, which is both more aligned with public intuitions and less ethically objectionable than more traditional, retrospective models of responsibility in healthcare. (shrink)

This paper outlines the potential and necessity of the development of assistive technologies for people with intellectual disabilities. We analyse a policy recommendation designed to determine the contents of a basic health package supplied by the state, known as the Dunning Funnel. We contend that the Dunning Funnel is a useful methodology, but is weakened by a potentially relativistic understanding of “necessity” in relation to the requirements of people with IDs. We remedy this defect by using the capabilities approach (...) as outlined by Martha Nussbaum. We argue that this approach provides a strong normative case for ensuring that communities provide help to people with IDs, if those communities are to achieve a minimal standard of justice. However, the capabilities approach does not offer much specific guidance on how AT ought to be distributed, nor does it offer guidance on risks, like the bottomless pit problem. We propose that the Dunning Funnel used in combination with the capabilities approach will provide a suitable heuristic for determining the distribution of AT in a basic health package. (shrink)

Char et al. describe an interesting and useful approach in their paper, “Identifying ethical considerations for machine learning healthcare applications.” Their proposed framework, which see...

Background Our objective was to evaluate whether the description of a machine learning (ML) app or brain imaging technology to predict the onset of schizophrenia or alcohol use disorder (AUD) influences healthcare professionals’ judgments of stigma, empathy, and compassion. Methods We randomized healthcare professionals (N = 310) to one vignette about a person whose clinician seeks to predict schizophrenia or an AUD, using a ML app, brain imaging, or a psychosocial assessment. Participants used scales to measure their judgments (...) of stigma, empathy, and compassion. Results Participants randomized to the ML vignette endorsed less anger and more fear relative to the psychosocial vignette, and the brain imaging vignette elicited higher pity ratings. The brain imaging and ML vignettes evoked lower personal responsibility judgments compared to the psychosocial vignette. Physicians and nurses reported less empathy than clinical psychologists. Conclusions The use of predictive technologies may reinforce essentialist views about mental health and substance use that may increase specific aspects of stigma and reduce others. (shrink)

This article focuses on emotions, conceptualised as emotional labour, evoked during data practices used to repurpose and enable healthcare data journeys for Finnish public healthcare. Combined approaches from critical data studies and the sociology of emotions were used to contribute to a better understanding of the mundane but often invisible work of the emotions of experts involved in data practices, such as facilitating data journeys and building data technologies. The article is based on a two-and-a-half-year ethnographic study (...) conducted in a Finnish regional public healthcare and social service organisation. The study results were derived from the analysis of 39 interviews and fieldnotes produced by observing 170 h of various meetings, events and work activities performed by experts. The results were organised into three forms of observed experts’ emotional labour related to three phases of healthcare data journeys: caring for data production and preparing data for travel, managing excitement and frustration in data processing for continually building the data management system, and reassuring users in making sense of obtained data analytics. The results contribute to a greater understanding of the emotions and emotional labour generated by healthcare data journeys and in relation to the volatile nature of healthcare data and the collaborative character of data practices. This work advocates for a better recognition of the emotional aspects of data practices and their implications on data-based knowledge and datafication processes in healthcare. (shrink)

Background: The quality of patient care is effective for new privatized healthcare system. For providing the effective services to the patients’ technology tools play important role. Also, new privatized healthcare organizations introduce the healthcare insurance. The aim of current systematic review is to explore the quality of patient care with new privatized healthcare system in the context of technology integration and health insurance. Method: A thorough search of databases, including Scopus, PsycINFO, and Web of Science, was (...) conducted in order to categorize relevant research that was published between 2020 and 2024. The inclusion criteria for this research were English-language papers that focused on exploring the quality of patient care with new privatized healthcare system in the context of technology integration and health insurance.Following an initial screening and quality evaluation, eleven studies were included in the synthesis. Results: The study database was searched through electronic databases, identifying 1679 records. 15 unique records were assessed for eligibility based on titles and abstracts. After initial screening, 11 studies were selected for full-text assessment. After independent review, 11 studies met criteria and were included in the systematic review. The selected studies were conducted between 2020-2024 and varied in design. The PRISMA flowchart illustrates the selection process. Quality evaluation involves peer-reviewed journals, overall assessment, and quality management. Conclusion: As the SR concluded that advanced technologies like electronic health records, telemedicine, and predictive analytics can improve patient care and treatment accuracy. However, challenges like rising costs, complex insurance plans, and data security need to be addressed. Effective training for healthcare providers, clear insurance plans, and robust information security systems are crucial for maximizing profits. (shrink)

We argue that while digital health technologies (e.g. artificial intelligence, smartphones, and virtual reality) present significant opportunities for improving the delivery of healthcare, key concepts that are used to evaluate and understand their impact can obscure significant ethical issues related to patient engagement and experience. Specifically, we focus on the concept of empowerment and ask whether it is adequate for addressing some significant ethical concerns that relate to digital health technologies for mental healthcare. We frame these (...) concerns using five key ethical principles for AI ethics (i.e. autonomy, beneficence, non-maleficence, justice, and explicability), which have their roots in the bioethical literature, in order to critically evaluate the role that digital health technologies will have in the future of digital healthcare. (shrink)

Medicine has always existed in a marketplace, and there have been extensive discussions about the ethical implications of commerce in health care. For the most part, this discussion has focused on health professionals’ interactions with pharmaceutical and other health technology industries, with less attention given to other types of commercial influences, such as corporatized health services and fee-for-service practice. This is a significant lacuna because in many jurisdictions, some or all of healthcare is delivered in the private sector. Using (...) the exemplar of Assisted Reproductive Technologies (ART), this paper asks: what, if any, responsibilities do doctors have to challenge the distorting influence of commerce in healthcare, other than those arising from their own interactions with health technology companies? ART provides a good focus for this question because it is an area of practice that has historically been provided in the private sector. First, we describe a range of concepts that offer helpful heuristics for capturing how and when doctors can reasonably be said to have responsibilities to resist commercial distortion, including: complicity, acquiescence, wilful ignorance, non-wilful ignorance, and duplicity. Second, we present ways that individual doctors can act to stop questionable behaviour on the part of their colleagues, clinics/corporations, and their profession. Third, we note that there are many situations where change cannot be achieved by individuals acting alone, and so we consider the responsibilities of health professionals as collectives as well as the role that professional bodies and regulators should play. (shrink)

While there is a steadily growing literature on epistemic injustice in healthcare, there are few discussions of the role that biomedical technologies play in harming patients in their capacity as knowers. Through an analysis of newborn and pediatric genetic and genomic sequencing technologies (GSTs), I argue that biomedical technologies can lead to epistemic injustice through two primary pathways: epistemic capture and value partitioning. I close by discussing the larger ethical and political context of critical analyses of (...) GSTs and their broader implications for just and equitable healthcare delivery. (shrink)

The rapid development in healthcare technologies in recent years has resulted in the need for health services, whether publicly funded or insurance based, to identify means to maximise the benefits and provide equitable distribution of limited resources. This has resulted in the need for rationing decisions, and there has been considerable debate regarding the substantive and procedural ethical principles that promote distributive justice when making such decisions. In this paper, I argue that while the scientifically rigorous approaches of (...) evidence-based healthcare are claimed as aspects of procedural justice that legitimise such guidance, there are biases and distortions in all aspects of the process that may lead to epistemic injustices. Regardless of adherence to principles of distributive justice in the decision-making process, evidential failings may undermine the fairness and legitimacy of such decisions. In particular, I identify epistemic exclusion that denies certain patient and professional groups the opportunity to contribute to the epistemic endeavour. This occurs at all stages of the process, from the generation, analysis and reporting of the underlying evidence, through the interpretation of such evidence, to the decision-making that determines access to healthcare resources. I further argue that this is compounded by processes which confer unwarranted epistemic privilege on experts in relation to explicit or implicit value judgements, which are not within their remit. I suggest a number of areas in which changes to the processes for developing, regulating, reporting and evaluating evidence may improve the legitimacy of such processes. (shrink)

While the implementation of digital technology in psychiatry appears promising, there is an urgent need to address the implications of the absence of ethical design in the early development of such technologies. Some authors have noted the gap between technology development and ethical analysis and have called for an upstream examination of the ethical issues raised by digital technologies. In this paper, we address this suggestion, particularly in relation to digital healthcare technologies for patients with schizophrenia (...) spectrum disorders. The introduction of digital technologies in psychiatry offers a broad spectrum of diagnostic and treatment options tailored to the health needs and goals of patients’ care. These technologies include wearable devices, smartphone applications for high-immersive virtual realities, smart homes, telepsychiatry and messaging systems for patients in rural areas. The availability of these technologies could increase access to mental health services and improve the diagnostics of mental disorders.Additional Instruction AbstractIn this descriptive review, we systematize ethical concerns about digital technologies for mental health with a particular focus on individuals suffering from schizophrenia. There are many unsolved dilemmas and conflicts of interest in the implementation of these technologies, such as (1) the lack of evidence on efficacy and impact on self-perception; (2) the lack of clear standards for the safety of their daily implementation; (3) unclear roles of technology and a shift in the responsibilities of all parties; (4) no guarantee of data confidentiality; and (5) the lack of a user-centered design that meets the particular needs of patients with schizophrenia. mHealth can improve care in psychiatry and make mental healthcare services more efficient and personalized while destigmatizing mental health disorders. To ensure that these technologies will benefit people with mental health disorders, we need to heighten sensitivity to ethical issues among mental healthcare specialists, health policy makers, software developers, patients themselves and their proxies. Additionally, we need to develop frameworks for furthering sustainable development in the digital technologies industry and for the responsible usage of such technologies for patients with schizophrenia in the clinical setting. We suggest that digital technology in psychiatry, particularly for schizophrenia and other serious mental health disorders, should be integrated into treatment with professional supervision rather than as a self-treatment tool. (shrink)

In healthcare, a tension sometimes arises between the injunction to do as much good as possible with scarce resources and the injunction to rescue identifiable individuals in immediate peril, regardless of cost (the “Rule of Rescue”). This tension can generate serious ethical and political difficulties for public policy makers faced with making explicit decisions about the public funding of controversial health technologies, such as costly new cancer drugs. In this paper we explore the appropriate role of the Rule (...) of Rescue in public resource allocation decisions by health technology funding advisory bodies such as the National Institute for Health and Clinical Excellence. We consider practical approaches to operationalising the Rule of Rescue from Australia and the UK before examining the relevance of individual moral imperatives to public policy making. We conclude that that whilst public policy makers in a humane society should facilitate exceptional departures from a cost effectiveness norm in clinical decisions about identified individuals, it is not so obvious that they should, as a matter of national public policy, exempt any one group of unidentified individuals within society from the rules of opportunity cost at the expense of all others. (shrink)

AI and robotic technologies attract much hype, including utopian and dystopian future visions of technologically driven provision in the health and care sectors. Based on 30 interviews with scientists, clinicians and other stakeholders in the UK, Europe, USA, Australia, and New Zealand, this paper interrogates how those engaged in developing and using AI and robotic applications in health and care characterize their future promise, potential and challenges. We explore the ways in which these professionals articulate and navigate a range (...) of high and low expectations, and promissory and cautionary future visions, around AI and robotic technologies. We argue that, through these articulations and navigations, they construct their own perceptions of socially and ethically ‘acceptable futures’ framed by an ‘ethics of expectations.’ This imbues the envisioned futures with a normative character, articulated in relation to the present context. We build on existing work in the sociology of expectations, aiming to contribute towards better understanding of how technoscientific expectations are navigated and managed by professionals. This is particularly timely since the COVID-19 pandemic gave further momentum to these technologies. (shrink)

A grandfather clause is a provision whereby an old rule continues to apply to some existing situation while a new rule applies to all future cases. This paper focuses on the use of grandfather clauses in health technology appraisals (HTAs) issued by the National Institute for Health and Care Excellence (NICE) in the United Kingdom. NICE provides evidence‐based guidance on healthcare technologies and public health interventions that influence resource allocation decisions in the National Health Service (NHS) and the (...) broader public sector in England and Wales. In this context, a grandfather clause is included when NICE does not recommend treatment with a given technology. The grandfather clause provides an exemption from the general recommendation for patients who have already started treatment with the technology in question, before the publication of the NICE guidance. In this paper we first lay out the contexts in which grandfather clauses occur in NICE guidance, and then consider ethical arguments against and in support of grandfather clauses and the continuation of treatment. We argue that NICE’s current practice of automatic inclusion of a grandfather clause is ethically problematic and unfair. While the inclusion of a grandfather clause may be appropriate and justified in specific cases, we argue that inclusion of such a clause should be considered as part and parcel of the decision making process on a case by case basis, rather than adopted as the default. (shrink)

Artificial intelligence-based (AI) technologies such as machine learning (ML) systems are playing an increasingly relevant role in medicine and healthcare, bringing about novel ethical and epistemological issues that need to be timely addressed. Even though ethical questions connected to epistemic concerns have been at the center of the debate, it is going unnoticed how epistemic forms of injustice can be ML-induced, specifically in healthcare. I analyze the shortcomings of an ML system currently deployed in the USA to (...) predict patients’ likelihood of opioid addiction and misuse (PDMP algorithmic platforms). Drawing on this analysis, I aim to show that the wrong inflicted on epistemic agents involved in and affected by these systems’ decision-making processes can be captured through the lenses of Miranda Fricker’s account of hermeneutical injustice. I further argue that ML-induced hermeneutical injustice is particularly harmful due to what I define as an automated hermeneutical appropriation from the side of the ML system. The latter occurs if the ML system establishes meanings and shared hermeneutical resources without allowing for human oversight, impairing understanding and communication practices among stakeholders involved in medical decision-making. Furthermore and very much crucially, an automated hermeneutical appropriation can be recognized if physicians are strongly limited in their possibilities to safeguard patients from ML-induced hermeneutical injustice. Overall, my paper should expand the analysis of ethical issues raised by ML systems that are to be considered epistemic in nature, thus contributing to bridging the gap between these two dimensions in the ongoing debate. (shrink)

In this paper, we explore the idea of digital technologies as truth‐bearers in health care and argue that devices like SenseCam, which facilitate reflection and memory recall, have a potentially vital role in healthcare situations when questions of veracity are at stake (e.g., when best interest decisions are being made). We discuss the role of digital technologies as truth‐bearers in the context of nursing people with dementia, as this is one area of health care in which the (...) topic of truth‐telling has been hotly debated. People with dementia have been excluded from research studies and decisions that affect their lives because they are not regarded as truth‐bearers—that is, as being capable of giving truthful accounts of their experiences. Also, considerable research has focused on the ethics of lying to and deceiving people with dementia. Given their increasing prominence in healthcare settings, there has been surprisingly little discussion of what role digital technologies might play in relation to these questions of truth and deception. Drawing on theories from science and technology studies (STS), we explore their possible future role in some of the truth‐making processes of health care. In particular, we discuss the potential value of constraints on use of SenseCam to support the accounts of people with dementia as part of their care. (shrink)

Although the use of new health technologies in healthcare and medicine is generally seen as beneficial, there has been little analysis of the impact of such technologies on people's lives and understandings of health and illness. This book explores how new technologies not only provide hope for cure and well-being, but also introduce new ethical dilemmas and raise questions about the "natural" body. Focusing on the ways new health technologies intervene into our lives and affect (...) our ideas about normalcy, the body and identity, New Health Technologies explores: how new health technologies are understood by lay people and patients how the outcomes of these technologies are communicated in various clinical settings how these technologies can alter our notions of health and illness and create "new illness." Written by authors with differing backgrounds in phenomenology, social psychology, social anthropology, communication studies and the nursing sciences, this book is essential reading for students andacademics of medical sociology, health and allied studies, and anyone with an interest in new health technologies. (shrink)

Background:When the contagious COVID-19 spread worldwide, the frontline staff faced unprecedented excessive work pressure and expectations of all of the society.Objective:The aim was to explore healthcare workers’ stress and influencing factors when caring for COVID-19 patients from an altruistic perspective.Methods:A cross-sectional, descriptive study was conducted in a tertiary hospital during the outbreak of COVID-19 between February and March 2020 in Wuhan, the capital city of Hubei province in China. Data were collected from 1208 healthcare workers. Descriptive statistics and (...) multiple linear regression were used to analyze the data.Ethical considerations:Research ethics approval (with the code of TJ-IRB20200379) was obtained from Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology. Written informed consent was also received from participants.Results:Less than 60% of participants chose moderate or severe stress on all stressors, indicating a low stress level among healthcare workers. The main source of stress among frontline healthcare workers caring for COVID-19 patients came from the fear of being infected, the fear of family members being infected, and the discomfort caused by protective equipment. Frontline staff who were nurses, were married, and had worked more than 20 days suffered higher stress, whereas rescue staff showed lower stress.Conclusion:The healthcare workers caring for patients with COVID-19 had low stress level, although they still had the fear of being infected or uncomfortable feeling caused by personal protective equipment. A low stress level among healthcare workers indicated their professional devotion and altruism during COVID-19 epidemic. Medical institutions and the government should continue to strengthen infection prevention measures and provide more comprehensive care involving families of frontline healthcare workers, especially nurses and married staff. It will be a lesson to other countries that awaking healthcare workers’ inside motivation and providing necessary support from government and society were significant. (shrink)

With technological possibilities in healthcare steadily increasing, more tools for digital cognitive rehabilitation become available. Acceptance of such technological advances is crucial for successful implementation. Therefore, we examined technology acceptance specifically for this form of rehabilitation in a sample of healthcare providers involved in cognitive rehabilitation. An adjusted version of the Technology Acceptance Model questionnaire was used, including the subscales for perceived usefulness, perceived ease of use, subjective norm, and intention to use, which all contribute to actual use (...) of a specific technology. Results indicate a generally favorable attitude toward the use of digital cognitive rehabilitation and positive responses toward the TAM constructs. Only for subjective norm, a neutral mean response was found, indicating that this could pose a potential obstacle toward implementation. Potential differences between subgroups of different age, gender, and professional background were assessed. Age and gender did not affect the attitude toward digital cognitive rehabilitation. Occupational therapists showed lower scores than healthcare psychologists and physiatrists with regard to perceived usefulness, possibly linked to a difference in operational and managerial tasks. The findings of his study stimulate further implementation of digital cognitive rehabilitation, where the role of subjective norms should be specifically considered. (shrink)

Healthcare expenditures account for approximately 9% of GDP in OECD countries and are on an upward trajectory (OECD, 2017). This significant financial burden, combined with an aging global population and increasing demand, emphasizes the imperative for sustained research and innovation to enhance health system efficacy. Key to this transformation are technological advancements, including digital health, which presents novel opportunities for improvement. Emerging digital health technologies, such as virtual consultations, complex imaging procedures, and electronic medical records, are fundamental to (...) modern healthcare infrastructures. However, significant gaps remain in the evaluation and understanding of these innovations, especially for nascent technological areas. This thesis addresses this subject, aiming to delineate how individuals and institutions can bolster their evaluative capabilities, strategic decision-making, and planning for the deployment of emerging digital healthcare technologies. The research methodology amalgamates theoretical exploration, literature scrutiny, and empirical examinations, presenting an integrated perspective that intersects the disciplines of Management & Decision Science, Technology & Innovation, and Health Economics & Outcomes Research. From an applied perspective, this research focuses on developing evidence within the context of pediatric healthcare in Canada — a context notably underrepresented in healthcare management research, despite its disproportionate per capita expenditure. Technologically, the predominant focus is on applications in virtual reality (VR) and three-dimensional (3D) printing and virtualization, though with the aspiration of ensuring the generalizability of results. The current thesis is structured to parallel the progression of the research itself, as three distinct phases; this begins with a comprehensive Background that contextualizes the initial intent, exploring the relationship between technology, innovation, and health outcomes. In this phase, each academic discipline is analyzed to identify base theoretical underpinnings for the research. The second phase of this work includes five empirical studies, each preceded by context-specific literature reviews for the respective technological domain, providing insight into the current state of evidence related to value-based assessment and economic evaluation in that area. Empirical studies included a randomized controlled trial and a cost consequences assessment of VR for pre-procedural preparation for medical imaging. Additionally, novel applications of 3D printing and virtualization are critically analyzed, accompanied by a multi-case study on the implementation of 3D printing in pediatrics, a cost-consequences study of applications for thoracoabdominal surgeries, and an outcomes study on the use of 3D virtualization in medical education during the COVID-19 pandemic. The final phase of this research includes the critical analysis and synthesis of findings into a proposal for a novel value-based assessment and decision-making framework specific to emerging health innovations; this framework integrates insights and resources for clinicians, administrators, and policymakers. The outcomes of this research are skewed toward Knowledge Users, but also aims to advance the theoretical basis for health technology assessment (HTA). (shrink)

All over Europe, the provision of healthcare services is widely considered a primary duty of the government. Universal access to medical care can be considered a basic ingredient of the so-called “European social model.” But if universal access to medical care is seldom questioned, European governments—faced with expanding costs caused by an increasing demand driven by an aging population and technology-driven improvements—are contemplating the possibility of “rationing”1 treatments, or the possibility of allowing a greater role for private suppliers. If (...) a “multi-tier” healthcare system has long been anathema to the European leadership, guaranteeing a uniform access to state-of-the-art care seems to be well beyond the means of states suffering from persisting debt crisis. Was the failure of state-controlled “adequate” healthcare totally unpredictable? Far-sighted criticisms had been offered by two eminent thinkers in the classical liberal tradition, Herbert Spencer and Friedrich A. von Hayek . Neither author is usually recognized as a forerunner of contemporary critics of the welfare state, and both investigated the issue of the state financing and providing health services well before or right after the establishment of national health services. With the benefit of hindsight, reading Spencer and Hayek helps us to understand how the crisis of state-supplied healthcare is not rooted in the mere progress of clinical technology, but is rather the logical consequence of the theoretical basis of the model itself. Whereas modern theorists of the welfare state tend to offer theories that are impervious to a critical appraisal of their unintended consequences—insofar as they are framed in a language of “rights”—both Hayek and Spencer understood that human systems are complex, and that unwanted effects of public policy should be taken into account. Although Spencer emphasized the moral hazards accruing from the paternalism involved in governmental provision of health services, Hayek explained how modern healthcare systems differ from real, private insurance designed to offer proper coverage against risks. These authors appreciated that the politicization of healthcare was bound to result in both standardization of care and disregard for the responsibility that comes with personal freedom. These two “diagnoses before the illness” can help us in defining the challenges and the potential solutions that healthcare systems face today. Understanding the fatal conceits inherent in the very architecture of national health services can be the first step toward healing our healthcare systems. (shrink)

Many healthcare agencies are producing evidence-based guidance and policy that may determine the availability of particular healthcare products and procedures, effectively rationing aspects of healthcare. They claim legitimacy for their decisions through reference to evidence-based scientific method and the implementation of just decision-making procedures, often citing the criteria of ‘accountability for reasonableness’; publicity, relevance, challenge and revision, and regulation. Central to most decision methods are estimates of gains in quality-adjusted life-years, a measure that combines the length and (...) quality of survival. However, all agree that the QALY alone is not a sufficient measure of all relevant aspects of potential healthcare benefits, and a number of value assessment frameworks have been suggested. I argue that the practical implementation of these procedures has the potential to lead to a distorted assessment of value. Undue weight may be ascribed to certain attributes, particularly those that favour commercial or political interests, while other attributes that are highly valued by society, particularly those related to care processes, may be omitted or undervalued. This may be compounded by a lack of transparency to relevant stakeholders, resulting in an inability for them to participate in, or challenge, the decisions. The makes it likely that costly new technologies, for which inflated prices can be justified by the current value frameworks, are displacing aspects of healthcare that are highly valued by society. (shrink)

Informed consent is at the core of the clinical relationship. With the introduction of machine learning (ML) in healthcare, the role of informed consent is challenged. This paper addresses the issue of whether patients must be informed about medical ML applications and asked for consent. It aims to expose the discrepancy between ethical and practical considerations, while arguing that this polarization is a false dichotomy: in reality, ethics is applied to specific contexts and situations. Bridging this gap and considering (...) the whole picture is essential for advancing the debate. In the light of the possible future developments of the situation and the technologies, as well as the benefits that informed consent for ML can bring to shared decision-making, the present analysis concludes that it is necessary to prepare the ground for a possible future requirement of informed consent for medical ML. (shrink)

Life-saving healthcare technology evolves over time, raising new ethical questions. What was once experimental becomes standard care, and what was once unthinkable becomes the next frontier. Ethici...