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Throws open the revolutionary possibilities of Digital twins in changing patient care, medical research, and health care operations.

Background The COVID-19 pandemic has given an unprecedented boost to already increased digital health services, which can place many vulnerable groups at risk of digital exclusion. To improve the likelihood of achieving digital health equity, it is necessary to identify and address the elements that may prevent vulnerable groups from benefiting from digital health services. This study examined the challenges experienced by vulnerable groups in using digital health services during the COVID-19 pandemic. Methods Qualitative descriptive design was utilized. Semi-structured interviews were conducted between October 2020 and May 2021. The participants ( N  = 74) were older adults, migrants, mental health service users, high users of health services, and the unemployed. Qualitative content analysis with both inductive and deductive approach was used to analyze the data. Challenges related to the use of digital health services were interpreted through digital determinants of health from the Digital Health Equity Framework. Results For most of the participants the access to digital health services was hampered by insufficient digital, and / or local language skills. The lack of support and training, poor health, as well as the lack of strong e-identification or suitable devices also prevented the access. Digital services were not perceived to be applicable for all situations or capable of replacing face-to-face services due to the poor communication in the digital environment. Fears and the lack of trust regarding digital platforms were expressed as well as concerns related to the security of the services. Contact with a health care professional was also considered less personal and more prone to misunderstandings in the digital environment than in face-to-face services. Finally, digital alternatives were not always available as desired by participants, or participants were unaware of existing digital services and their value. Conclusion Several development needs in the implementation of digital health services were identified that could improve equal access to and benefits gained from digital services in the future. While digital health services are increasing, traditional face-to-face services will still need to be offered alongside the digital ones to ensure equal access to services.

\"Digital technologies are a major sector to invest and research in new models of health management. Future health scenarios are constituted by technologies in health, and clinical decision-making systems. This book provides unique multidisciplinary approach for exploring the potential contribution of AI and digital technologies in enabling global healthcare systems to respond to urgent 21st century challenges. Deep analysis has been made regarding telemedicine using big data, deep learning, robotics, mobile and remote applications. Features: Focusses on prospective scenarios in health to foresight possible futures. Addresses the urgent needs of the key population, socio-technical, and health themes. Covers health innovative practices as 3D models for surgeries, big data to treat rare diseases, AI robot for heart treatments. Explores telemedicine using big data, deep learning, robotics, mobile and remote applications. Reviews public health based on predictive analytics and disease trends. This book is aimed at researchers, professionals and graduate students in computer science, artificial intelligence, decision support, healthcare technology management, biomedical engineering, and robotics\"-- Provided by publisher.

Digital communication tools have demonstrated significant potential to improve health literacy which ultimately leads to better health outcomes. In this article, we examine the power of digital communication tools such as mobile health apps, telemedicine and online health information resources to promote health and digital literacy. We outline evidence that digital tools facilitate patient education, self-management and empowerment possibilities. In addition, digital technology is optimising the potential for improved clinical decision-making, treatment options and communication among providers. We also explore the challenges and limitations associated with digital health literacy, including issues related to access, reliability and privacy. We propose leveraging digital communication tools is key to optimising engagement to enhance health literacy across demographics leading to transformation of healthcare delivery and driving better outcomes for all.

Objective Within the digital society, the limited proficiency in digital health behaviors among rural residents has emerged as a significant factor intensifying health disparities between urban and rural areas. Addressing this issue, enhancing the digital literacy and health literacy of rural residents stands out as a crucial strategy. This study aims to investigate the relationship between digital literacy, health literacy, and the digital health behaviors of rural residents. Methods Initially, we developed measurement instruments aimed at assessing the levels of digital literacy and health literacy among rural residents. Subsequently, leveraging micro survey data, we conducted assessments on the digital literacy and health literacy of 968 residents in five administrative villages in Zhejiang Province, China. Building upon this foundation, we employed Probit and Poisson models to empirically scrutinize the influence of digital literacy, health literacy, and their interaction on the manifestation of digital health behaviors within the rural population. This analysis was conducted from a dual perspective, evaluating the participation of digital health behaviors among rural residents and the diversity to which they participate in such behaviors. Results Digital literacy exhibited a notably positive influence on both the participation and diversity of digital health behaviors among rural residents. While health literacy did not emerge as a predictor for the occurrence of digital health behavior, it exerted a substantial positive impact on the diversity of digital health behaviors in the rural population. There were significant interaction effects between digital literacy and health literacy concerning the participation and diversity of digital health behaviors among rural residents. These findings remained robust even after implementing the instrumental variable method to address endogeneity issues. Furthermore, the outcomes of robust analysis and heterogeneity analysis further fortify the steadfastness of the aforementioned conclusions. Conclusion The findings suggest that policymakers should implement targeted measures aimed at enhancing digital literacy and health literacy among rural residents. This approach is crucial for improving rural residents' access to digital health services, thereby mitigating urban–rural health inequality.

Digital health innovations have been rapidly implemented and scaled to provide solutions to health delivery challenges posed by the coronavirus disease (COVID-19) pandemic. This has provided people with ongoing access to vital health services while minimizing their potential exposure to infection and allowing them to maintain social distancing. However, these solutions may have unintended consequences for health equity. Poverty, lack of access to digital health, poor engagement with digital health for some communities, and barriers to digital health literacy are some factors that can contribute to poor health outcomes. We present the Digital Health Equity Framework, which can be used to consider health equity factors. Along with person-centered care, digital health equity should be incorporated into health provider training and should be championed at the individual, institutional, and social levels. Important future directions will be to develop measurement-based approaches to digital health equity and to use these findings to further validate and refine this model.

Digital health technologies (ie, the integration of digital technology and health information) aim to increase the efficiency of health care delivery; they are rapidly adapting to health care contexts to provide improved medical services for citizens. However, contrary to expectations, their rapid adoption appears to have led to health inequities, with differences in health conditions or inequality in the distribution of health care resources among different populations. This scoping review aims to identify and describe the inequities of health care services brought about by the adoption of digital health technologies. The factors influencing such inequities, as well as the corresponding countermeasures to ensure health equity among different groups of citizens, were also studied. Primary studies and literature, including articles and reviews, published in English between 1990 and 2020 were retrieved using appropriate search strategies across the following three electronic databases: Clarivate Analytics' Web of Science, PubMed, and Scopus. Data management was performed by two authors (RY and WZ) using Thomson Endnote (Clarivate Analytics, Inc), by systematically screening and identifying eligible articles for this study. Any conflicts of opinion were resolved through discussions with the corresponding author. A qualitative descriptive synthesis was performed to determine the outcomes of this scoping review. A total of 2325 studies were collected during the search process, of which 41 (1.76%) papers were identified for further analysis. The quantity of literature increased until 2016, with a peak in 2020. The United States, the United Kingdom, and Norway ranked among the top 3 countries for publication output. Health inequities caused by the adoption of digital health technologies in health care services can be reflected in the following two dimensions: the inability of citizens to obtain and adopt technology and the different disease outcomes found among citizens under technical intervention measures. The factors that influenced inequities included age, race, region, economy, and education level, together with health conditions and eHealth literacy. Finally, action can be taken to alleviate inequities in the future by government agencies and medical institutions (eg, establishing national health insurance), digital health technology providers (eg, designing high-quality tools), and health care service recipients (eg, developing skills to access digital technologies). The application of digital health technologies in health care services has caused inequities to some extent. However, existing research has certain limitations. The findings provide a comprehensive starting point for future research, allowing for further investigation into how digital health technologies may influence the unequal distribution of health care services. The interaction between individual subjective factors as well as social support and influencing factors should be included in future studies. Specifically, access to and availability of digital health technologies for socially disadvantaged groups should be of paramount importance.

Background The internet and social media are increasingly popular sources of health information for adolescents. Using online health information requires digital health literacy, consisting of literacy, analytical skills and personal capabilities such as self-efficacy. Appraising trustworthiness and relevance of online health information requires critical health literacy to discriminate between sources, critically analyse meaning and relevance, and use information for personal health. Adolescents with poor digital health literacy risk using misinformation, with potential negative health outcomes. We aimed to understand adolescents’ contemporary digital health literacy and compared self-efficacy with capability. Methods Adolescents (12–17 years) completed an eHEALS self-report digital health literacy measure, a practical search task using a think-aloud protocol and an interview to capture perceived and actual digital health literacy. eHEALS scores were generated using descriptive statistics, search tasks were analysed using an observation checklist and interviews were thematically analysed based on Social Cognitive Theory, focussing on self-efficacy. Results Twenty-one participants generally had high self-efficacy using online health information but perceived their digital health literacy to be higher than demonstrated. They accessed online health information unintentionally on social media and intentionally via search engines. They appraised information medium, source and content using general internet searching heuristics taught at school. Information on social media was considered less trustworthy than websites, but participants used similar appraisal strategies for both; some search/appraisal heuristics were insufficiently nuanced for digital health information, sometimes resulting in misplaced trust or diminished self-efficacy. Participants felt anxious or relieved after finding online health information, depending on content, understanding and satisfaction. They did not act on information without parental and/or health professional advice. They rarely discussed findings with health professionals but would welcome discussions and learning how to find and appraise online health information. Conclusions Whilst adolescents possess many important digital health literacy skills and generally feel self-efficacious in using them, their critical health literacy needs improving. Adolescents desire increased digital health literacy so they can confidently appraise health information they find online and on social media. Co-designed educational interventions with adolescents and health providers are required.

Digital public health is an emerging field in population-based research and practice. The fast development of digital technologies provides a fundamentally new understanding of improving public health by using digitalization, especially in prevention and health promotion. The first step toward a better understanding of digital public health is to conceptualize the subject of the assessment by defining what digital public health interventions are. This is important, as one cannot evaluate tools if one does not know what precisely an intervention in this field can be. Therefore, this study aims to provide the first definition of digital public health interventions. We will merge leading models for public health functions by the World Health Organization, a framework for digital health technologies by the National Institute for Health and Care Excellence, and a user-centered approach to intervention development. Together, they provide an overview of the functions and areas of use for digital public health interventions. Nevertheless, one must keep in mind that public health functions can differ among different health care systems, limiting our new framework’s universal validity. We conclude that a digital public health intervention should address essential public health functions through digital means. Furthermore, it should include members of the target group in the development process to improve social acceptance and achieve a population health impact.

The global demographic shift towards longer life expectancy and complex health needs is increasing the number of people with chronic diseases, placing pressure on health and care systems. With the digitalization of healthcare, digital Health Literacy (dHL), or the use of digital skills in health, is gaining importance. It involves navigating digital health information, using digital tools effectively, and making informed health decisions. Measuring dHL can help identify gaps and develop strategies to improve dHL and health, ensuring citizens equal opportunity to participate in a digital healthcare system. The European project \"The Improving Digital Empowerment for Active and Healthy Living (IDEAHL)\" with the objective to empower European Union citizens to use digital instruments to take a more active role in managing their health and well-being creates the base for this overview. This paper aims to conduct an overview of existing assessment tools for measuring dHL and recommend strategies for choosing relevant assessment tools. This study was carried out as a mixed method study initiated by a scoping review (10 scientific databases, 14 databases with grey literature and 14 predefined reports) in addition to three papers published after finalisations the literature search in IDEAHL, followed by a qualitative workshop study and a final analysis combining results. The literature search resulted in 33 papers on dHL instruments, that was analyzed together with three recently published reviews and findings from a workshop with 13 champions (understood as professionals with expertise in HL and dHL) from five countries (Spain, Denmark, Sweden, Australia, and Germany) representing the health sector or health literacy research. Future tools should adapt to the latest trends and technologies, considering attitudes towards digital health and trust in its services. They should identify beneficiaries of digital health services, measure the impact of dHL interventions, and objectively evaluate functional skills. These tools should be evidence-based, validate instruments, interpret dHL results, and capture diverse experiences to reveal health behaviour changes. The eHealth Literacy Scale (eHEALS), despite being the most frequently utilized tool, has limitations in scope and adaptability. Future tools need to reflect digital trends, encompassing individual skills. However, it is important to note that the 'adequacy' of dHL is context-specific and relies on healthcare systems and the technology provided, particularly the user interface. The focus should be on health improvement, not just elevating dHL levels. A comprehensive approach to dHL assessments addressing diversity and relevance is crucial. Ethical considerations in dHL, including privacy and data security, are important due to potential feelings of shame among those with low literacy levels.