Decision-making regarding healthcare expenditure hinges heavily on an individual's health status and the certainty about the future. This study uses data on propensity of general health exam (GHE) spending to show that despite the debate on the necessity of GHE, its objective is clear—to obtain more information and certainty about one’s health so as to minimise future risks. Most studies on this topic, however, focus only on factors associated with GHE uptake and overlook the shifts in behaviours and attitudes (...) regarding different levels of cost. To fill the gap, this study analyses a dataset of 2068 subjects collected from Hanoi (Vietnam) and its vicinities using the baseline-category logit method. We evaluate the sensitivity of Vietnamese healthcare consumers against two groups of factors (demographic and socioeconomic-cognitive) regarding payment for periodic GHE, which is not covered by insurance. Our study shows that uninsured, married and employed individuals are less sensitive to cost than their counterparts because they value the information in reducing future health uncertainty. The empirical results challenge the objections to periodic health screening by highlighting its utility. The relevance of behavioural economics is further highlighted through a look at the bounded rationality of healthcare consumers and private insurance companies in using and providing the service, respectively. (shrink)

Ill persons suffer from a variety of epistemically-inflected harms and wrongs. Many of these are interpretable as specific forms of what we dub pathocentric epistemic injustices, these being ones that target and track ill persons. We sketch the general forms of pathocentric testimonial and hermeneutical injustice, each of which are pervasive within the experiences of ill persons during their encounters in healthcare contexts and the social world. What’s epistemically unjust might not be only agents, communities and institutions, but the (...) theoretical conceptions of health that structure our responses to illness. Thus, we suggest that although such pathocentric epistemic injustices have a variety of interpersonal and structural causes, they are also sustained by a deeper naturalistic conception of the nature of illness. (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 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)

Healthcare insurance plays a pivotal role in shaping public health equity and social justice by influencing access to services, financial protection, and health outcomes. This study evaluates integrative frameworks for analyzing the impact of healthcare insurance on public health equity and explores its role in achieving social justice. We synthesize data from multidisciplinary sources to highlight disparities, challenges, and policy implications. The findings underscore the need for equitable insurance models, robust policy reforms, and inclusive evaluation methods.

Adaptation and stress are two main concepts useful for better understanding the phases of illness and health-related human behavior. The two faces of adaptation, adaptation as a process and adaptation as a product, have raised the question of how long the adaptation process will take in cancer trajectories. The care setting transition from clinical-based into home-based cancer care has stressed the role of family caregivers (FCG) in cancer management. This study examines how types of demanded healthcare information affect the (...) FCG’s role in catalyzing the adaptation of female cancer patients. The mindsponge theory was used in conceptual development and results interpretation. Bayesian Mindsponge Framework (BMF) analytics was used for statistical analysis on a dataset of 48 spouses (husbands) and 12 other family members in five congested communities of Surabaya, Indonesia. Results showed that among the six types of demanded healthcare information, FCGs with a higher tendency to demand cancer-specific information are more likely to need support in catalyzing the adaptation of female cancer patients. Meanwhile, FCGs with a higher demand for information on alternative therapies are less likely to need support in catalyzing cancer adaptation. Other types of healthcare information have ambiguous effects on the need for support in cancer adaptation assistance. This study reveals that the demanded cancer-specific information, e.g., cancer’s prognosis or likely outcome, must be prioritized to assist FCG’s role in catalyzing adaptation among female cancer patients. Cancer prognosis and outcomes reflect the future of cancer care results. (shrink)

The health industry is experiencing change, the newest forerunner of which is being propelled by spatial computing and generative AI. Spatial computing simply refers to the ability to interface with physical space through computation and digital devices; on the other hand, generative AI means using advanced machine learning to generate new output. This paper examines the roles and the combined possibilities of these two technologies with the view of transforming health care and diagnostics in the field of patient care. Precision (...) medicine unveils new opportunities of integrating precise spatial computing components and generative artificial intelligence to provide a personalized treatment for patients and data visualization for surgeons. The paper examines major use cases, concerns, and future of this convergence specifically in the fields of medicine. (shrink)

Abstract Aim: The COVID-19 infection is transmitted either by human-to-human contact, social-physical contact, and respiratory droplets or by touching items touched by the infected. This has triggered some conflicted behaviors such as stigma, violence, and opposite behavior applause. The aim of this study is to explore several newspaper articles about stigma, violence, or insensitive behavior against healthcare professionals and to analyze the reason for these behaviors during these COVID-19 pandemics. Method: The website of the Turkish Medical Association "Press Releases (...) News" and online newspaper articles have been scanned using keywords and have been classified and analyzed according to the content of articles between the periods of March 11 to April 28, 2020. This is a qualitative study with content analysis. No official ethical permission was obtained as the study was conducted through open access internet news sites. Result: 16 reports were selected from online reports that matched the keywords of the study. 13 of these reports included desensitization, violence, lack of precaution, stigmatization, and applause, and 3 reports included doctors’ statements. After being categorized, content analyses were conducted. Conclusion: This study revealed the necessity of a multi-faceted evaluation of the problems faced by healthcare professionals who are at the forefront of the COVID-19 outbreak. This study has a primary role in the detection, diagnosis, and treatment of the pandemic and reveals that doctors are trying to fulfill their duties in an ethical framework despite stigmatized behavior. Authorities should provide various supports to protect healthcare professionals before, during, and after the epidemic for the success of the COVID-19 outbreak struggle. (shrink)

The integration of Artificial Intelligence in healthcare represents a transformative advancement in modern medicine, particularly in diagnostic applications and personalized treatment approaches. This comprehensive article examines the current state and future prospects of AI in healthcare, focusing on medical diagnosis, data analytics, and precision medicine. The article encompasses various applications, from imaging diagnostics and pattern recognition to personalized treatment planning, highlighting significant improvements in diagnostic accuracy, workflow efficiency, and patient outcomes. The article evaluates AI's performance across multiple medical (...) specialties, including radiology, ophthalmology, and genomic medicine, while also addressing the challenges and considerations in implementing these technologies within healthcare systems. The findings demonstrate AI's potential to enhance healthcare delivery through improved diagnostic capabilities, streamlined workflows, and more personalized treatment approaches, while acknowledging the need for careful consideration of regulatory compliance and clinical integration challenges. (shrink)

The rapid advancement of artificial intelligence (AI) and machine learning (ML) has led to significant innovations in the healthcare sector. One such development is AI-powered healthcare chatbots, which assist patients and medical professionals by providing medical guidance, symptom assessment, and appointment scheduling. This paper presents the design and implementation of an AI healthcare chatbot using machine learning techniques. The chatbot leverages natural language processing (NLP) and deep learning models to understand and respond to user queries effectively. Experimental (...) results demonstrate the chatbot's efficiency in delivering accurate and context-aware medical information. (shrink)

Meta-learning, or learning to learn, has emerged as a powerful paradigm for creating adaptive models that can quickly adapt to new tasks with minimal data. In the context of personalized healthcare, meta-learning holds the potential to revolutionize precision medicine by enabling models that can personalize treatments based on individual characteristics. These models can leverage prior knowledge across multiple patients or conditions to provide rapid and accurate predictions for new patients, improving the efficiency and effectiveness of healthcare delivery. This (...) paper explores how meta-learning techniques can be applied to personalized healthcare, addressing the challenges of patient variability, data scarcity, and the need for individualized predictions. We also discuss several meta-learning strategies, such as Model-Agnostic Meta-Learning (MAML) and Prototypical Networks, and their integration into healthcare systems. Furthermore, we present case studies in areas like chronic disease management and treatment recommendation, highlighting the promise of meta-learning in precision medicine. (shrink)

One fundamental healthcare issue brought to the fore by the current COVID-19 pandemic concerns the scope and nature of the right to healthcare. Given our increasing need for the usually limited healthcare resources, to what extent can we demand provision of these resources as a matter of right? One philosophical way of handling this issue is to clarify the nature of this right. Using the challenges of COVID-19 in the Philippines as the context of analysis, we argue (...) for the view that regards the right to healthcare as fundamentally moral in kind, which should thereby guide its legal and contractual appropriations. In particular, we respond to objections against this view stemming from issues concerning the universality and satisfiability of the right’s correlative duty. We deal with such issues by invoking the relative degree of incumbency of moral rights and the capability-relativity of positive duties. We further contend that as these factors define the scope of the moral right to healthcare, they thus constrain what we can demand as a matter of right to meet our healthcare needs in this time of the pandemic. (shrink)

Trans healthcare and thus trans people have been severely affected by the COVID-19 pandemic. Trans people’s healthcare situations have turned out to be so vulnerable in this crisis because they have been precarious to begin with. There are multiple ways in which trans healthcare has been affected: Surgeries and other procedures have been cancelled or postponed, and mental health services have been paused or moved online. This raises ethical questions around discrimination against trans people in the (...) class='Hi'>healthcare system. This article argues that cancelling trans surgeries and procedures in the COVID-19 crisis is made possible through an understanding of trans healthcare as non-essential. The article explores how trans healthcare in particular has been affected by the pandemic. (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)

Bribing doctors for preferential treatment is rampant in the healthcare system of developing countries like Vietnam. Although bribery raises the out-of-pocket expenditures of patients, it is so common to be deemed an “envelope culture.” Given the little understanding of the underlying mechanism of the culture, this study employed the mindsponge theory for reasoning the mental processes of both patients and doctors for why they embrace the “envelope culture” and used the Bayesian Mindsponge Framework (BMF) analytics to validate our reasoning. (...) Analyzing responses from 1042 Vietnamese patients, we discovered that bribing doctors can help patients reduce the destitution risk induced by treatment. Such effect of doctor bribery remains consistent among patients that have to pay high daily costs (e.g., accommodation and subsistence fees) regardless of their employment status. Nevertheless, for patients with no or unstable jobs, their risks of destitution increase if they have to pay more thank-you money. These findings suggest that doctor bribery is an adaptive strategy for patients in an environment where the healthcare supply cannot meet the actual demand. Moreover, healthcare equity is greatly exacerbated due to the envelope culture, as vulnerable individuals are exposed to a greater threat of poverty. At the same time, those with good economic conditions get preferential treatment by paying a higher amount of thank-you money. Healthcare workers’ ethics must be the top priority for an equitable and proper healthcare system. (shrink)

Chronic fatigue syndrome or myalgic encephalomyelitis remains a controversial illness category. This paper surveys the state of knowledge and attitudes about this illness and proposes that epistemic concerns about the testimonial credibility of patients can be articulated using Miranda Fricker’s concept of epistemic injustice. While there is consensus within mainstream medical guidelines that there is no known cause of CFS/ME, there is continued debate about how best to conceive of CFS/ME, including disagreement about how to interpret clinical studies of treatments. (...) Against this background, robust qualitative and quantitative research from a range of countries has found that many doctors display uncertainty about whether CFS/ME is real, which may result in delays in diagnosis and treatment for patients. Strikingly, qualitative research evinces that patients with CFS/ME often experience suspicion by health professionals, and many patients vocally oppose the effectiveness, and the conceptualization, of their illness as psychologically treatable. We address the intersection of these issues and healthcare ethics, and claim that this state of affairs can be explained as a case of epistemic injustice. We find evidence that healthcare consultations are fora where patients with CFS/ME may be particularly vulnerable to epistemic injustice. We argue that the marginalization of many patients is a professional failure that may lead to further ethical and practical consequences both for progressive research into CFS/ME, and for ethical care and delivery of current treatments among individuals suffering from this debilitating illness. (shrink)

This paper sketches a framework for the separation of church and state and, with the framework in view, indicates why a government’s maintaining such separation poses challenges for balancing two major democratic ideals: preserving equality before the law and protecting liberty, including religious liberty. The challenge is particularly complex where healthcare is either provided or regulated by government. The contemporary problem in question here is the contraception coverage requirement in the Obama Administration’s healthcare mandate. Many institutions have mounted (...) legal challenges to the mandate on grounds of religious freedom. The paper proposes a number of interconnected principles toward a resolution of the problem: for the institutional realm, specific principles for church-state separation and a principle concerning the protection of citizens’sense of identity; and for the ethics of citizenship in the conduct individuals, principles that provide an adequate place for natural (thus secular) reason in lawmaking and political decisions. (shrink)

Healthcare professionals decide wisely about personalized medicine, treatment plans, and resource allocation by utilizing big data analytics and machine learning. To guarantee that algorithmic recommendations are impartial and fair, however, ethical issues relating to prejudice and data privacy must be taken into account. Big data analytics and machine learning have a great potential to disrupt healthcare, and as these technologies continue to evolve, new opportunities to reform healthcare and enhance patient outcomes may arise. In order to investigate (...) the patient’s outcomes with empirical evidence, this research was conducted using an online survey to incorporate healthcare professionals, patient’s reviews, and clinical staff. The data were analyzed using SmartPLS 4.0 to predict the structural model. The findings revealed a direct impact as positive influence of using machine learning on healthcare performance and patient outcomes through big data analytics. Moreover, it is evident that this can lead to personalized treatment plans, early interventions, and improved patient outcomes. Additionally, big data analytics can help healthcare providers optimize resource allocation, improve operational efficiency, and reduce costs. The impact of big data analytics on patient outcome and healthcare performance is expected to continue to grow, making it an important area for investment and research. (shrink)

The structural scarcity of healthcare resources has deeply challenged their fair distribution, prompting the need for allocation criteria. Long under the spotlight of the bioethical debate with an extraordinary peak during the recent COVID-19 pandemic, micro-allocation of healthcare has been extensively discussed in the literature with regard to issues of substantive and formal justice. This paper addresses a relatively underdiscussed question within the field of formal justice: who should define micro-allocation criteria in healthcare? To explore this issue, (...) we first establish formal requirements that must be met for allocation criteria to be considered fair and legitimate. Then, we introduce three possible answers to the research question: the attending physician, the team of physicians, and the team of experts. We discuss and then reject all of them, arguing that the task of defining allocation criteria should be assigned to a political representative, supported by a cross-disciplinary team of experts. This proposal is based on the need to take democracy seriously as a tool for making substantive allocative decisions in light of the inevitable disagreement on such matters within a community. To support this claim, we present two key arguments—the democracy argument and the consistency argument. We also pre-emptively respond to two significant critiques: the too-specificity of the decision critique and the catastrophic outcomes critique. In conclusion, we argue that our proposal offers the fairest and most legitimate decision-making process for healthcare micro-allocation. (shrink)

Some philosophers and segments of the public think age is relevant to healthcare priority-setting. One argument for this is based in equity: “Old” patients have had either more of a relevant good than “young” patients or enough of that good and so have weaker claims to treatment. This article first notes that some discussions of age-based priority that focus in this way on old and young patients exhibit an ambiguity between two claims: that patients classified as old should have (...) a low priority, and that patients classified as young should have high priority. The author next argues, drawing on a problem raised by Christine Overall, that equity cannot justify giving “old” patients low priority, since there is wide variety in the total lifetime experiences of older people, partly influenced by gender, race, class, and disability injustice. Finally, the author suggests that there might be a limited role for age-based prioritization in the context of infant and childhood death, since those who die in childhood are always and uncontroversially among the worst-off. (shrink)

Fear of cancer is mostly related to cancer recurrence, metastasis, additional cancer, and diagnostic tests. Its legacy as a lethal disease has raised fear of approaching death. Currently, cancer’s total suffering and the worsening phenomena have raised fear, especially among female patients. Family caregivers (FCGs) who are responsible for the day-to-day cancer care at home need to help the patients deal with this fear frequently. Due to the limited care competencies, they need supportive care from healthcare professionals in cancer (...) fear management. This study aims to assess how types of demanded healthcare information affect the FCG’s role in reducing the fear of female cancer patients. The mindsponge theory was used in conceptual development and interpretation. Bayesian Mindsponge Framework (BMF) analytics were used for statistical analysis on a dataset of 48 spouses (husbands) and 12 other family members in five congested communities of Surabaya, Indonesia. Results showed that among the six types of healthcare information, FCGs with higher demand on cancer-specific information and information on cancer physical needs were more likely to need support in reducing the fear of female cancer patients. Meanwhile, FCGs with a higher demand for information on support services were less likely to need support to reduce cancer patients’ fear. Other types of healthcare information have ambiguous effects on the need for support in reducing cancer-induced fear. This study reveals that the demanded cancer-specific information, e.g., cancer’s prognosis or likely outcome and information on cancer physical needs, need to be met in priority to assist FCG’s role in cancer fear management. (shrink)

While there is a prolific debate surrounding the issue of conscientious objection of individuals towards performing certain clinical acts, this debate ignores the fact that there are other reasons why clinicians might wish to object providing specific services. This paper briefly discusses the idea that healthcare workers might object to providing specific services because they are against their professional judgement, they want to maintain a specific reputation, or they have pragmatic reasons. Reputation here is not simply understood as being (...) in good standing with a professional body. Rather, reputation is treated in the sense that a craftsman might wish to be known for providing a specific type, quality, and style of service. Professionalism is understood as acting according to the philosophical and scientific principles that are the basis of healthcare (such as acting for the benefit of the patient’s health and following well- evidenced treatment pathways). (shrink)

The heightened digitization of the healthcare industry has led to an exponential increase in sensitive patient data, which requires robust security models to prevent breaches, unauthorized access, and cyber attacks. Traditional security protocols are inadequate, and this has made it imperative to explore Artificial Intelligence (AI) and Blockchain as novel solutions. AI enhances healthcare cybersecurity by facilitating real-time anomaly detection, predictive analysis, and automated threat response, while blockchain offers decentralization, immutability, and secure data sharing. However, blockchain technology faces (...) major challenges for scalability and performance, as represented by lengthy transaction processing durations and high storage demands, elements that could deter its widespread adoption across the healthcare industry. To help counter these challenges, researchers are exploring Layer 2 scaling solutions, hybrid blockchain architectures, and off-chain storage strategies. In addition, cleanroom technology provides a controlled and secure environment for handling sensitive healthcare data, protecting privacy while also supporting AI-driven analytics and research collaboration. This article critically examines the intersection of blockchain and AI for healthcare security, in terms of challenges, use cases, and direction. Leveraging these technologies, health organizations can set up future-proof models of security that address data integrity, regulatory requirements, and resistance to future threats more effectively. (shrink)

Abstract: Artificial Intelligence (AI) is rapidly becoming a cornerstone of modern healthcare, offering unprecedented capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper explores the transformative impact of AI on the healthcare sector, examining how it enhances patient outcomes, improves the efficiency of medical practices, and introduces new ethical and operational challenges. By analyzing current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, this paper highlights the significant advancements AI has (...) brought to the field. However, the integration of AI also raises concerns related to data privacy, algorithmic bias, and the displacement of healthcare professionals. This study provides a comprehensive overview of these developments, offering insights into the future potential of AI in revolutionizing healthcare while addressing the ethical considerations that must accompany its adoption. The findings suggest that while AI holds the promise of transforming healthcare delivery, careful consideration of its implications is essential to ensure equitable and effective implementation. (shrink)

The continuous growth of healthcare data has made it essential to develop efficient systems that not only alert healthcare providers but also visualize patient data in a comprehensible way. This study introduces a Health Alert System integrated with Report Visualization powered by Data Analytics to improve patient monitoring and alerting mechanisms. By leveraging real-time data from wearable sensors and hospital records, the system generates health alerts based on deviations from normal parameters. The proposed system combines predictive analytics and (...) historical data to flag potential emergencies before they occur. The visual analytics platform provides comprehensive reports to healthcare providers, enabling them to monitor trends, identify risk factors, and make informed decisions. (shrink)

Humanoid robots are being increasingly incorporated into healthcare environments to enhance patient well-being, with numerous studies demonstrating their efficacy across various capacities. These robots have proven valuable in providing companionship, assisting in rehabilitation, and supporting mental health. For instance, social robots have been shown to effectively mitigate depression and anger in children undergoing medical treatments, offering a form of interaction that can be particularly beneficial for those with autism-spectrum disorders. In pediatric care settings, humanoid robots have been employed to (...) alleviate anxiety and pain, serving as engaging distractions during medical procedures. Their human-like appearance and interactive capabilities make them well-suited for assisting individuals with cognitive impairments, such as dementia, by providing reminders and facilitating social engagement. The integration of humanoid robots in healthcare also extends to homecare systems, aligning with the vision of Healthcare 4.0, where these robots are envisioned to support patients in daily activities, monitor health conditions, and provide timely interventions, thereby enhancing the quality of care and patient autonomy. However, the deployment of humanoid robots in healthcare settings raises ethical considerations, including potential issues and the possibility of decreased human interaction. It is crucial to address these concerns to ensure that the integration of robotic companions contributes positively to patient well-being without compromising ethical standards. Overall, the utilization of humanoid robots in healthcare presents a promising avenue for augmenting patient well-being, but ongoing research and development are essential to fully realize their potential, address ethical challenges, and ensure their effective integration into healthcare systems. (shrink)

A dogma accepted in many ethical, religious, and legal frameworks is that the reasons behind conscientious objection (CO) in healthcare cannot be evaluated or judged by any institution because conscience is individual and autonomous. This paper shows that this background view is mistaken: the requirement to reveal and explain the reasons for conscientious objection in healthcare is ethically justified and legally desirable. Referring to real healthcare cases and legal regulations, this paper argues that these reasons should be (...) evaluated either ex ante or ex post and defends novel conceptual claims that have not been analyzed in the debates on CO. First, a moral threshold requirement: CO is only justified if the reasons behind a refusal are of a moral nature and meet a certain threshold of moral importance. Second, this paper considers the rarely discussed conceptual similarities between CO in healthcare and the legal regulations concerning military refusals that place the burden of proof on conscientious objectors. This paper concludes that conscientious objection in healthcare can be accommodated only in some cases of destroying or killing human organisms. (shrink)

Lippert-Rasmussen and Petersen discuss my ‘Moral case for legal age change’ in their article ‘Age change, official age and fairness in health’. They argue that in important healthcare settings (such as distributing vital organs for dying patients), the state should treat people on the basis of their chronological age because chronological age is a better proxy for what matters from the point of view of justice than adjusted official age. While adjusted legal age should not be used in deciding (...) who gets scarce vital organs, I remind the readers that using chronological age as a proxy is problematic as well. Using age as a proxy could give wrong results and it is better, if possible, for states to use the vital information directly than use age as a proxy. (shrink)

Cancer care has transitioned from clinical-based to home-based care to support longterm care in a more familiar and comfortable environment. This care transition has put family caregivers (FCGs) in a strategic position as care providers. Cancer care at home involves psychological and emotional treatment at some point, making FCGs deal with the stress of cancer patients frequently. Due to their limited care competencies, they need supportive care from healthcare professionals in cancer stress management. This study aims to examine how (...) types of demanded healthcare information affect the FCG’s role in reducing the stress of female cancer patients. The mindsponge theory was used in conceptual development and interpretation. Bayesian Mindsponge Framework (BMF) analytics were used for statistical analysis on a dataset of 48 spouses (husbands) and 12 other family members in five congested communities of Surabaya, Indonesia. Results showed that among the six types of healthcare information, FCGs with higher demand for cancer-specific information were more likely to need support in reducing the stress of female cancer patients. Meanwhile, FCGs with a higher demand for information about support services were less likely to need support to reduce cancer patients’ stress. Other types of healthcare information have ambiguous effects on the need for support in reducing cancer-induced stress. This study reveals that the demanded cancer-specific information, e.g., cancer prognosis or likely outcome, must be prioritized to assist FCG’s role in managing cancer stress. (shrink)

In the last decade, the cases of breast and cervical cancer have been positioned at the top rank of cancer statistics worldwide. Consequently, many husbands become family caregivers (FCGs) and get the burden of cancer caregiving. Being blind and incompetent, they need supportive care from healthcare professionals (HCPs). To support them, HCPs provide various healthcare information to meet their needs. Further, their demand for a specific type of healthcare information may reflect their need for emotional support from (...) the HCPs to reduce the burden. This study aims to examine the predictors of the need for emotional support among FCGs of female cancer patients by analyzing the demanded healthcare information. The mindsponge theory was used in conceptual development and interpretation. Bayesian Mindsponge Framework (BMF) analytics were used for statistical analysis on a dataset of 48 husbands and 12 significant others in five congested communities of Surabaya, Indonesia. Results showed that among the six types of healthcare information, the demanded cancer-specific information and information on cancer physical needs significantly predict the need for emotional support among respondents. Meanwhile, FCGs with a higher demand for information on alternative therapies are less likely to need emotional support. Other types of information have ambiguous effects on the need for emotional support. This study reveals that the demanded cancer-specific information, e.g., cancer prognosis or likely outcome, and information on cancer physical needs must be prioritized in information disclosure to meet the needs for emotional support among FCGs of female cancer patients. (shrink)

Traditional medicine, particularly in rural Indonesia, plays a crucial role in healthcare, especially for older adults. These remedies, deeply rooted in cultural heritage, offer accessible and affordable alternatives to modern medicine. However, integrating them into formal healthcare systems faces challenges such as quality control, safety, and cultural sensitivity. This study investigates how traditional health practices influence healthcare behaviors and proposes culturally sensitive frameworks to bridge the gap between traditional and modern healthcare. This study employs a literature-based (...) methodology, combining relational design and sensory-dialogical approaches to explore inclusivity and cultural sensitivity in healthcare research. Data from peer-reviewed articles, case studies, and ethnographic reports from 2010 to 2024, focusing on rural Indonesian communities, were analyzed. Thematic analysis identified patterns regarding healthcare preferences, cultural significance, barriers to inclusivity, and ethical challenges in validating traditional remedies. The study highlights the importance of traditional remedies, especially herbal medicine, in maintaining health and cultural identity among older adults. These remedies serve both practical healthcare and cultural purposes. Community-based practices, such as preparing herbal remedies, emphasize their symbolic and therapeutic value. However, challenges like herb-drug interactions, a decline in ethnobotanical knowledge, and the integration of traditional medicine with modern healthcare remain prevalent. Culturally sensitive healthcare research is essential to address disparities in rural and marginalized populations in Indonesia. Approaches like relational design and sensory-dialogical frameworks promote inclusivity and ethical rigor. Integrating traditional medicine requires balancing cultural preservation with scientific validation, fostering equitable healthcare solutions that harmonize with contemporary needs. (shrink)

Urbanization poses significant challenges to healthcare systems, including overcrowded hospitals, inequitable access to care, and rising costs. Artificial Intelligence (AI) and the Internet of Things (IoT) offer transformative solutions for optimizing healthcare delivery in smart cities. This paper explores how AI-driven predictive analytics, combined with IoT-enabled wearable devices and telemedicine platforms, can enhance patient outcomes, streamline resource allocation, and reduce urban health disparities. By analyzing real-time health data and predicting disease outbreaks, this study demonstrates the potential of AI (...) to revolutionize urban healthcare systems. Experimental results highlight improvements in diagnostic accuracy, emergency response times, and operational efficiency, paving the way for equitable and sustainable healthcare in smart cities. (shrink)

Rare diseases pose a particular priority setting problem. The UK gives rare diseases special priority in healthcare priority setting. Effectively, the National Health Service is willing to pay much more to gain a quality-adjusted life-year related to a very rare disease than one related to a more common condition. But should rare diseases receive priority in the allocation of scarce healthcare resources? This article develops and evaluates four arguments in favour of such a priority. These pertain to public (...) values, luck egalitarian distributive justice the epistemic difficulties of obtaining knowledge about rare diseases and the incentives created by a higher willingness to pay. The first is at odds with our knowledge regarding popular opinion. The three other arguments may provide a reason to fund rare diseases generously. However, they are either overinclusive because they would also justify funding for many non-rare diseases or underinclusive in the sense of justifying priority for only some rare diseases. The arguments thus fail to provide a justification that tracks rareness as such. There are no data in this work. (shrink)

Healthcare is one of the domains in which artificial intelligence (AI) is already having a major impact. Of interest is the idea of the digital twin (DT), an AI-powered technology that generates a real-time representation of the patient’s body, offering the possibility of more personalised care. Our main thesis in this paper is that the DT does not merely represent the patient’s body but produces a specific body. We argue, from a philosophical perspective and an ethical-phenomenological approach, that the (...) virtual body created by the DT has a major impact on one’s self-understanding, having consequences for gender expression and identification, and for health. This has deep implications for people who do not conform to gender normativity, for example, trans individuals. We advocate that, with thoughtful development, DT technology can and should be empowering, contributing to better addressing the diversity of bodies and facilitating trans people’s experience in healthcare contexts. (shrink)

The present article is presenting the ‘Healthcare Hazards and Its Impact on Health Insurance Business – An Overview during COVID-19’. The present paper studied the health insurance, health insurance plans in India, Indian market size, health care industry, government actions for the COVID-19, and healthcare business in India, private health insurance in India, hazardous of the healthcare industry and health insurances, and Indian healthcare issues in 2019. The author has concluded that all insurance policies are levied (...) higher taxes by the government, these lead higher income to the companies, and these are creating how commissions to the agents and other insurance organizations under reinsurance, but no benefits to the insured. It may not be a long term benefit, why because there is no maturity fund/income, because of these are shortterm benefits; how many of the policyholders are getting the benefits from the general health insurance companies. Hence, the research is required to calculate for the need of levy-the tax from the non-claimant portion of the income of the general health insurance on an annual basis to the health department of the nation. (shrink)

Health policy changes in Nepal displayed struggles against a poor political, geographical, and economic setting; Millennium Development Goal #4 demanded improved infant and child mortality, as well as adequate measles vaccine coverage by the year 2015. Research in this report presents progress and direction of child health care policy across more than a decade of time in attempts of attaining MDG #4 and general child health care advancements. Subsequent observations and suggestions were delineated and offered. Progress since the 1990’s up (...) to 2012 was analyzed by review of serial national survey and report data. Trends and variations between regions were mostly analyzed amongst various child health care determinants. Results indicated many improved factors; Nepal will likely achieve MDG regarding child under-5 mortality, but may not achieve measles vaccine coverage or infant mortality goals. Furthermore, severe regional disparities were evident within Nepal, particularly in the Mid and Far-Western regions. A call for integrated community-based primary health care (CB-PHC) for infants and children became an ultimate ideal. A comprehensive, multidisciplinary, and community based primary care delivery service would address many of the deficits identified as well as reach rural and remote areas that still suffered. Risk and data-based resource allocation promise improved utilization, but also demands more frequent and better data reporting. Coordinated, multi-sector health policy initiatives have been underway; this demonstrated a strong direction in improving child health care from urban to every village. (shrink)

In this paper, I am concerned with how healthcare systems ought to transition away from the greenhouse gas emissions that they have historically relied on to provide care. I address two questions in relation to this issue. The first is what emissions target should healthcare systems adopt? Second, is how should the burdens of mitigation be shared fairly in light of that target? I argue that sufficientarianism offers an attractive way to answer both of these questions because it (...) is better situated to strike the right balance between healthcare benefits and the costs of mitigation than rivals. Sufficiency describes the view that what is important from the perspective of distributive justice is that individuals have enough. I argue that this ideal can be used to set a threshold of enough health from which an emissions threshold can be set. Once an emissions threshold is in place, this can be used to demarcate permissible from impermissible emissions in healthcare. In turn, the emissions threshold provides guidance on which emissions are liable to mitigation and when it would be fair for healthcare to shoulder the associated burdens. Permissible emissions, on the other hand, are necessary to secure sufficiency and so healthcare's mitigation responsibilities should be altered in light of this. I also discuss various alternative methods of setting an emissions target like net zero, zero emissions, emissions grandfathering and emissions egalitarianism. I point to several issues with these approaches. (shrink)

Chile has achieved great success in terms of growth and development. However, growing inequalities exist in relation to income and health status. The previous Chilean government began to reform the healthcare system with the aim of reducing health inequities. What is meant by “equity” in this context? What is the extent of the equity aimed for? A normative framework is required for public policy-makers to consider ideas about fairness in their decisions about healthcare reform. This paper aims to (...) discuss the main features of the Chilean healthcare reform and their implications for such a normative framework. (shrink)

Previously proposed strategies for tackling hermeneutical injustices take for granted the interests people have in certain things about them being intelligible to them and/or to others, and seek to enable them to satisfy these interests. Strategies of this sort I call interests-as-given strategies. I propose that some hermeneutical injustices can instead be tackled by doing away with certain of these interests, and so with the possibility of their unfair non-satisfaction. Strategies of this sort I call interests-in-question strategies. As a case (...) study in when such an interests-in-question strategy ought to be pursued, I look at how to tackle hermeneutical injustices arising in the context of gender-affirming healthcare as provided to adults by the National Health Service in the UK. I argue that considerations of trust, privacy, and respect all support pursuing such a strategy. One way to do so, I suggest, would be by replacing the existing gatekeeping model with an informed consent model for the provision of gender-affirming healthcare. Considerations of hermeneutical justice can hence be added to the already-impressive case for undertaking this shift. (shrink)

This review article of Shlomi Segall's Health, Luck, and Justice (Princeton University Press, 2010) addresses three issues: first, Segall’s claim that luck egalitarianism, properly construed, does not object to brute luck equality; second, Segall’s claim that brute luck is properly construed as the outcome of actions that it would have been unreasonable to expect the agent to avoid; and third, Segall’s account of healthcare and criticism of rival views. On the first two issues, a more conventional form of luck (...) egalitarianism – that is, one which objects to brute luck even if it creates equality, and which construes brute luck as the inverse of agent responsibility – is defended. On the third issue, strengths and weaknesses in Segall’s criticism of Rawlsian, democratic egalitarian, and all-luck egalitarian approaches to healthcare, and in his own luck egalitarian approach, are identified. (shrink)

The rapid adoption of digital technologies in healthcare has revolutionized patient care, enabling seamless data sharing, remote consultations, and enhanced medical record management. However, this digital transformation has also introduced significant challenges to network security and data protection. Healthcare institutions face a dual challenge: ensuring uninterrupted connectivity for critical operations and safeguarding sensitive patient information from cyber threats. These challenges are exacerbated by the increased use of interconnected devices, electronic health records (EHRs), and cloud-based solutions, which, while enhancing (...) efficiency, expand the attack surface for malicious actors. This research focuses on addressing the pressing need for robust network security in healthcare institutions. It examines the unique vulnerabilities of healthcare networks, including the risks posed by outdated infrastructure, insufficient encryption protocols, and the lack of standardized security practices across systems. The paper highlights the critical role of advanced cybersecurity frameworks, such as zero-trust architectures and realtime threat detection systems, in mitigating risks. Additionally, it explores the integration of artificial intelligence (AI) and machine learning (ML) in enhancing the predictive capabilities of security tools, enabling institutions to proactively identify and neutralize potential threats. Connectivity remains a cornerstone of modern healthcare operations, facilitating collaboration among healthcare providers and ensuring timely access to patient data. However, maintaining connectivity without compromising security is a complex task. This research delves into strategies for achieving this balance, such as implementing secure Virtual Private Networks (VPNs), multi-factor authentication (MFA), and end-to-end encryption. It also emphasizes the importance of regular network assessments, employee training programs, and the adoption of compliance standards like HIPAA to ensure a secure and resilient network environment. The study includes case analyses of healthcare institutions that successfully navigated cybersecurity challenges, providing actionable insights into effective practices and lessons learned. These examples underscore the importance of integrating technological solutions with a culture of security awareness, emphasizing collaboration between IT professionals and medical staff. As cyber threats continue to evolve, healthcare institutions must remain vigilant and adaptive, embracing innovative solutions to safeguard their networks and protect patient data. This paper contributes to the broader discourse on cybersecurity in healthcare by proposing a comprehensive approach that addresses connectivity and data protection challenges while fostering operational efficiency. By prioritizing network security, healthcare institutions can build trust with patients, comply with regulatory requirements, and ensure the uninterrupted delivery of quality care. This research provides a roadmap for healthcare organizations seeking to strengthen their cybersecurity posture, highlighting the necessity of adopting a proactive, multi-layered approach to combat emerging threats. It calls for continuous investment in advanced technologies and emphasizes the role of collaboration among stakeholders to create a secure and connected healthcare ecosystem. (shrink)

The rapid adoption of digital technologies in healthcare has revolutionized patient care, enabling seamless data sharing, remote consultations, and enhanced medical record management. However, this digital transformation has also introduced significant challenges to network security and data protection. Healthcare institutions face a dual challenge: ensuring uninterrupted connectivity for critical operations and safeguarding sensitive patient information from cyber threats. These challenges are exacerbated by the increased use of interconnected devices, electronic health records (EHRs), and cloud-based solutions, which, while enhancing (...) efficiency, expand the attack surface for malicious actors. This research focuses on addressing the pressing need for robust network security in healthcare institutions. It examines the unique vulnerabilities of healthcare networks, including the risks posed by outdated infrastructure, insufficient encryption protocols, and the lack of standardized security practices across systems. The paper highlights the critical role of advanced cybersecurity frameworks, such as zero-trust architectures and realtime threat detection systems, in mitigating risks. Additionally, it explores the integration of artificial intelligence (AI) and machine learning (ML) in enhancing the predictive capabilities of security tools, enabling institutions to proactively identify and neutralize potential threats. Connectivity remains a cornerstone of modern healthcare operations, facilitating collaboration among healthcare providers and ensuring timely access to patient data. However, maintaining connectivity without compromising security is a complex task. This research delves into strategies for achieving this balance, such as implementing secure Virtual Private Networks (VPNs), multi-factor authentication (MFA), and end-to-end encryption. It also emphasizes the importance of regular network assessments, employee training programs, and the adoption of compliance standards like HIPAA to ensure a secure and resilient network environment. The study includes case analyses of healthcare institutions that successfully navigated cybersecurity challenges, providing actionable insights into effective practices and lessons learned. These examples underscore the importance of integrating technological solutions with a culture of security awareness, emphasizing collaboration between IT professionals and medical staff. As cyber threats continue to evolve, healthcare institutions must remain vigilant and adaptive, embracing innovative solutions to safeguard their networks and protect patient data. This paper contributes to the broader discourse on cybersecurity in healthcare by proposing a comprehensive approach that addresses connectivity and data protection challenges while fostering operational efficiency. By prioritizing network security, healthcare institutions can build trust with patients, comply with regulatory requirements, and ensure the uninterrupted delivery of quality care. This research provides a roadmap for healthcare organizations seeking to strengthen their cybersecurity posture, highlighting the necessity of adopting a proactive, multi-layered approach to combat emerging threats. It calls for continuous investment in advanced technologies and emphasizes the role of collaboration among stakeholders to create a secure and connected healthcare ecosystem. (shrink)

This topic focuses on the problems that arise in providing medical care to the population during armed conflict or martial law. Under such conditions, hospitals, clinics, and other healthcare facilities have to work in challenging circumstances with limited resources and reduced security for medical personnel. This topic explores such issues as how martial law affects the work of medical institutions, what problems arise in providing medical care to the population in war, how war affects the health of the people, (...) and what consequences it may have in the long term. Research in this area will help to understand how to organize better and prepare medical facilities to work in war conditions and ensure high-quality medical care to the population in emergencies. The methods used to write this article were analysis, synthesis, generalization, explanation, and data qualification. The primary and fundamental sources for writing an article may vary depending on the topic, but generally, the following sources can be recommended. Academic studies: these can be scholarly articles, monographs, dissertations, conference papers, and other materials related to the topic of your article. These sources can help you find information about the latest research in the field and allow you to see the approaches and methodologies used in the studies. Official sources: These can be legal documents, reports, regulations, guidelines, and other materials issued by government agencies, ministries, and other departments. These sources can help you understand the rules and regulations governing your article's topic. Expert reviews: these can be interviews with experts in the field, articles, and other materials written by well-known specialists. These sources can help you understand the views and opinions of well-known experts on the issues related to your paper. (shrink)

It has been argued that ethical frameworks for data science often fail to foster ethical behavior, and they can be difficult to implement due to their vague and ambiguous nature. In order to overcome these limitations of current ethical frameworks, we propose to integrate the analysis of the connections between technical choices and sociocultural factors into the data science process, and show how these connections have consequences for what data subjects can do, accomplish, and be. Using healthcare as an (...) example, attention to sociocultural conversion factors relevant to health can help in navigating technical choices that require broader considerations of the sociotechnical system, such as metric tradeoffs in model validation, resulting in better ethical and technical choices. This approach promotes awareness of the ethical dimension of technical choices by data scientists and others, and that can foster the cultivation of 'ethical skills' as integral to data science. (shrink)

The medical use of computing and information and communication technologies (ICTs) has a history of several decades, but the emergence of the internet, and especially the web and social media, created a new situation. As a result, currently the term eHealth is widely used – and the usage of the internet (and mobile) “technologies” in healthcare (among the patients and professionals, too) tends to be usual practice. There are more and more signs of the institutionalization of this new sub-disciplinary (...) field of medicine, such as social organizations, healthcare institutes, scientific journals, regular conferences, etc. In this paper, collecting the most relevant developments we will try to characterize this state of affairs in the field. Moreover, as it is well-known, the use of the internet has an enormous impact on society, social systems and subsystems, and even on the everyday life of people. This extended practice also influences medicine and healthcare as social subsystems, and fundamentally transforms some of their characteristics. In this paper, we try to show several important dimensions of these changes. (shrink)

This comprehensive article explores the transformative role of Customer Relationship Management (CRM) systems in modern healthcare delivery. The article examines how CRM platforms revolutionize patient care through enhanced engagement, streamlined operations, and data-driven decision-making capabilities. It investigates the significant impact of healthcare CRM on personalized care delivery, patient experience, and operational efficiency while addressing the technical and organizational implementation challenges. The article demonstrates how CRM systems facilitate better care coordination, improve patient outcomes, and contribute to financial sustainability in (...) healthcare organizations. Special attention is given to the unique features of healthcare CRM systems that differentiate them from traditional CRM platforms, highlighting their crucial role in advancing patient-centered care models and supporting healthcare providers in delivering more effective, efficient, personalized medical services. (shrink)

Social media has transformed how individuals handle their illnesses. While many patients increasingly use these online platforms to understand embodied information surrounding their conditions, healthcare professionals often frame these practices as negative and do not consider the expertise that patients generate through social media. Through a combination of insights from social epistemology and ignorance studies, this paper problematizes the distinctive understandings of social media between patients and healthcare professionals from a different perspective. A total of four ideas are (...) introduced: (1) healthcare professionals see embodied knowledge that arises from patients’ social media practices as uncomfortable knowledge; (2) healthcare professionals engage in several behaviours to preserve their authority and power in front of embodied knowledge created through these online platforms; (3) failing to consider embodied knowledge can have consequences not only in terms of trust between patients and healthcare professionals but also in connection with epistemological populism and the transition towards patient-centred care; and (4) media and digital health literacy could help healthcare professionals enhance the uses of social media in healthcare. Adopting this framework allows not only to offer valuable insights into how healthcare professionals manage patients’ social media practices, but also opens new avenues to improve healthcare digitisation. (shrink)

We live in an age of evidence-based healthcare, where the concept of evidence has been avidly and often uncritically embraced as a symbol of legitimacy, truth, and justice. By letting the evidence dictate healthcare decision making from the bedside to the policy level, the normative claims that inform decision making appear to be negotiated fairly—without subjectivity, prejudice, or bias. Thus, the term ‘‘evidence-based’’ is typically read in the health sciences as the empirically adequate standard of reasonable practice and (...) a means for increasing certainty. Supporters believe that evidence-based medicine (EBM) can introduce rational order to the deliberative processes of healthcare decision making. It is perhaps puzzling, then, to come across critical perspectives (typically arising from the humanities and the more theory-driven social sciences) raising concerns about a seeming technogovernance being introduced by this deferral to the evidence where power interests can be obfuscated by way of technical resolve. The critics holding this minority view argue that technological solutions to problems of knowledge and practice cannot replace medicine’s normative content. Against EBM’s democratic leanings toward transparency and accountability, medical criteria alone cannot decide valueladen ethically charged decisions. This paper attempts to explain and evaluate this important debate in the philosophy of medicine, focusing specifically on the dispute over 'evidence-based women's health'. (shrink)

Semantic interoperability can be defined as the ability of two or more computer systems to exchange information in such a way that the meaning of that information can be automatically interpreted by the receiving system accurately enough to produce useful results to the end users of both systems. Several activities are currently being performed by a variety of stakeholders to achieve semantic interoperability in healthcare. Many of these activities are not beneficial, because they place too great a focus on (...) business aspects and not enough on involvement of the right sorts of researchers, in particular those that are able to see how the data and information relate to the entities of concern on the side of the patient. The lack of a central focus on the patient, and the associated focus on ‘concepts’, have spawned a variety of mutually incompatible terminologies exhibiting non-resolvable overlap. The predominance of the healthcare IT industry in the writing and selection of semantic interoperability standards mitigates against the benefits that standards, when well designed, can bring about. (shrink)

In this paper, I aim to demonstrate that the consequences of the current United States health insurance scheme on both physician and patient autonomy is dire. So dire, in fact, that the only moral solution is something other than what we have now. The United States healthcare system faces much criticism at present. But my focus is particular: I am interested in the ways in which insurance interferes with physician and patient autonomy. I will argue in favor of an (...) expansion of the traditional conception of what I call “medical autonomy” or “healthcare autonomy” and the usual role it plays in bioethical discussions. More generally, I show that in morally designing or evaluating any healthcare system, serious attention should be paid to how this system helps foster what I call active autonomy. (shrink)

In their recent article in this journal, Giubilini, Gur-Arie, and Jamrozik argue that there is more to expertise than individual healthcare professionals’ knowledge of their fields. To be an expert is to be recognized as a credible authority, they explain, and being a credible authority necessitates trust. Among the core ethical principles they identify for trustworthy experts in medicine and healthcare are honesty, humility, and transparency. Here I aim to affirm these authors’ linkage of expertise and trust by (...) decoupling both from a presumptive norm of transparency. My suggestion is not that medical or healthcare experts should lie or deceive, but that articulating their credible authority in terms of transparency mischaracterizes things. We see this in several ways: through the negative epistemic effects of a general norm of expert transparency, the importance of discretion in healthy trust relations, and the need for relationally responsive interpretation in how medical and health experts communicate with different patients and publics across social-epistemic difference. (shrink)