Real-time location systems (RTLS) can be implemented in aged care for monitoring persons with wandering behaviour and asset management. RTLS can help retrieve personal items and assistive technologies that when lost or misplaced may have serious financial, economic and practical implications. Various ethical questions arise during the design and implementation phases of RTLS. This study investigates the perspectives of various stakeholders on ethical questions regarding the use of RTLS for asset management in nursing homes. Three focus group sessions were conducted concerning the needs and wishes of (1) care professionals; (2) residents and their relatives; and (3) researchers and representatives of small and medium-sized enterprises (SMEs). The sessions were transcribed and analysed through a process of open, axial and selective coding. Ethical perspectives concerned the design of the system, the possibilities and functionalities of tracking, monitoring in general and the user-friendliness of the system. In addition, ethical concerns were expressed about security and responsibilities. The ethical perspectives differed per focus group. Aspects of privacy, the benefit of reduced search times, trust, responsibility, security and well-being were raised. The main focus of the carers and residents was on a reduced burden and privacy, whereas the SMEs stressed the potential for improving products and services. Original article at MDPI: https://doi.org/10.3390/info9040080
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Abstract Background: Healthcare professionals encounter ethical dilemmas and concerns in their practice. More research is needed to understand these ethical problems and to know how to educate professionals to respond to them. Research objective: To describe ethical dilemmas and concerns at work from the perspectives of Finnish and Dutch healthcare professionals studying at the master’s level. Research design: Exploratory, qualitative study that used the text of student online discussions of ethical dilemmas at work as data. Method: Participants’ online discussions were analyzed using inductive content analysis. Participants: The sample consisted of 49 students at master’s level enrolled in professional ethics courses at universities in Finland and the Netherlands. Ethical considerations: Permission for conducting the study was granted from both universities of applied sciences. All students provided their informed consent for the use of their assignments as research data. Findings: Participants described 51 problematic work situations. Among these, 16 were found to be ethical dilemmas, and the remaining were work issues with an ethical concern and did not meet criteria of a dilemma. The most common problems resulted from concerns about quality care, safety of healthcare professionals, patients’ rights, and working with too few staff and inadequate resources. Discussion: The results indicated that participants were concerned about providing quality of care and raised numerous questions about how to provide it in challenging situations. The results show that it was difficult for students to differentiate ethical dilemmas from other ethical work concerns. Conclusion: Online discussions among healthcare providers give them an opportunity to relate ethical principles to real ethical dilemmas and problems in their work as well as to critically analyze ethical issues. We found that discussions with descriptions of ethical dilemmas and concerns by health professionals provide important information and recommendations not only for education and practice but also for health policy.
Aim: Midwives are expected to identify and help resolve ethics problems that arise in practice, skills that are presumed to be taught in midwifery educational programs. In this study, we explore how midwives recognize ethical dilemmas in clinical practice and examine the sources of their ethics education. Methods: We conducted semi-structured, individual interviews with midwives from throughout the United States (U.S.) (n = 15). Transcripts of the interviews were analysed using an iterative process to identify themes and subthemes. Findings: Midwives described a range of professional ethical dilemmas, including challenges related to negotiating strained interprofessional relationships and protecting or promoting autonomy for women. Ethical dilemmas were identified by the theme of unease, a sense of distress that was expressed in three subthemes: uncertainty of action, compromise in action, and reflecting on action. Learning about ethics and ethical dilemmas occurred, for the most part, outside of the classroom, with the majority of participants reporting that their midwifery program did not confer the skills to identify and resolve ethical challenges. Conclusion: Midwives in this study reported a range of ethical challenges and minimal classroom education related to ethics. Midwifery educators should consider the purposeful and explicit inclusion of midwifery-specific ethics content in their curricula and in interprofessional ethics education. Reflection and self-awareness of bias were identified as key components of understanding ethical frameworks. As clinical preceptors were identified as a key source of ethics learning, midwifery educators should consider ways to support preceptors in building their skills as role models and ethics educators.
In this project, we explore how healthcare providers and the creative industry can collaborate to develop effective digital mental health interventions, particularly for survivors of sexual assault. Sexual assault victims face significant barriers to seeking professional help, including shame, self-blame, and fear of judgment. With over 100,000 cases reported annually in the Netherlands the need for accessible, stigma-free support is urgent. Digital interventions, such as chatbots, offer a promising solution by providing a safe, confidential, and cost-effective space for victims to share their experiences before seeking professional care. However, existing commercial AI chatbots remain unsuitable for complex mental health support. While widely used for general health inquiries and basic therapy, they lack the human qualities essential for empathetic conversations. Additionally, training AI for this sensitive context is challenging due to limited caregiver-patient conversation data. A key concern raised by professionals worldwide is the risk of AI-driven chatbots being misused as therapy substitutes. Without proper safeguards, they may offer inappropriate responses, potentially harming users. This highlights the urgent need for strict design guidelines, robust safety measures, and comprehensive oversight in AI-based mental health solutions. To address these challenges, this project brings together experts from healthcare and design fields—especially conversation designers—to explore the power of design in developing a trustworthy, user-centered chatbot experience tailored to survivors' needs. Through an iterative process of research, co-creation, prototyping, and evaluation, we aim to integrate safe and effective digital support into mental healthcare. Our overarching goal is to bridge the gap between digital healthcare and the creative sector, fostering long-term collaboration. By combining clinical expertise with design innovation, we seek to develop personalized tools that ethically and effectively support individuals with mental health problems.
CRISPR/Cas genome engineering unleashed a scientific revolution, but entails socio-ethical dilemmas as genetic changes might affect evolution and objections exist against genetically modified organisms. CRISPR-mediated epigenetic editing offers an alternative to reprogram gene functioning long-term, without changing the genetic sequence. Although preclinical studies indicate effective gene expression modulation, long-term effects are unpredictable. This limited understanding of epigenetics and transcription dynamics hampers straightforward applications and prevents full exploitation of epigenetic editing in biotechnological and health/medical applications.Epi-Guide-Edit will analyse existing and newly-generated screening data to predict long-term responsiveness to epigenetic editing (cancer cells, plant protoplasts). Robust rules to achieve long-term epigenetic reprogramming will be distilled based on i) responsiveness to various epigenetic effector domains targeting selected genes, ii) (epi)genetic/chromatin composition before/after editing, and iii) transcription dynamics. Sustained reprogramming will be examined in complex systems (2/3D fibroblast/immune/cancer co-cultures; tomato plants), providing insights for improving tumor/immune responses, skin care or crop breeding. The iterative optimisations of Epi-Guide-Edit rules to non-genetically reprogram eventually any gene of interest will enable exploitation of gene regulation in diverse biological models addressing major societal challenges.The optimally balanced consortium of (applied) universities, ethical and industrial experts facilitates timely socioeconomic impact. Specifically, the developed knowledge/tools will be shared with a wide-spectrum of students/teachers ensuring training of next-generation professionals. Epi-Guide-Edit will thus result in widely applicable effective epigenetic editing tools, whilst training next-generation scientists, and guiding public acceptance.
Smart city technologies, including artificial intelligence and computer vision, promise to bring a higher quality of life and more efficiently managed cities. However, developers, designers, and professionals working in urban management have started to realize that implementing these technologies poses numerous ethical challenges. Policy papers now call for human and public values in tech development, ethics guidelines for trustworthy A.I., and cities for digital rights. In a democratic society, these technologies should be understandable for citizens (transparency) and open for scrutiny and critique (accountability). When implementing such public values in smart city technologies, professionals face numerous knowledge gaps. Public administrators find it difficult to translate abstract values like transparency into concrete specifications to design new services. In the private sector, developers and designers still lack a ‘design vocabulary’ and exemplary projects that can inspire them to respond to transparency and accountability demands. Finally, both the public and private sectors see a need to include the public in the development of smart city technologies but haven’t found the right methods. This proposal aims to help these professionals to develop an integrated, value-based and multi-stakeholder design approach for the ethical implementation of smart city technologies. It does so by setting up a research-through-design trajectory to develop a prototype for an ethical ‘scan car’, as a concrete and urgent example for the deployment of computer vision and algorithmic governance in public space. Three (practical) knowledge gaps will be addressed. With civil servants at municipalities, we will create methods enabling them to translate public values such as transparency into concrete specifications and evaluation criteria. With designers, we will explore methods and patterns to answer these value-based requirements. Finally, we will further develop methods to engage civil society in this processes.
