BACKGROUND: Despite the many benefits of Health Information Exchange (HIE), Studies reported patients concerns about the privacy and security of sharing their health information. To address these concerns, it is important to understand their needs, preferences, and priorities in the design and implementing HIE systems.
OBJECTIVE: The aim of this study is to investigate patients\' preferences for HIE consent option and examine the extent to which they are comfortable sharing the different parts of their medical records.
METHODS: A self-administered survey was conducted. The survey was administrated online and the total number of respondents was 660 participants.
RESULTS: The most popular option selected by participants for sharing HIE information was to share information with their permission once when they register (33.3%) followed by the option to share their information temporarily on demand during their clinical visit (23.8%). The types of information which participants were willing to share the most were general data such as age, weight, height, and gender, followed closely by data needed for medical emergency. In contrast, the information which participants were less likely to share were data related to financial status or income, followed by data related to sexual disease, and mental illnesses.

Real-world evidence (RWE) studies are conducted on patient\'s data primarily collected for monitoring of health status of patients. The use of real-world data to generate evidence in academic research or for regulatory submission raises a variety of ethical issues such as privacy, confidentiality, data protection, data de-identification, data sharing, scientific design of study, and informed consent requirements. The investigators-researchers and sponsors should adhere to current standards of ethics whilst planning and conduct of RWE studies. The ethics committees should consider ethical issues specific to RWE studies before approval.

The digitization of mental health enables significant shifts in clinical practice by harnessing vast amounts of data derived from the use of apps and wearables to enhance medical research, patient care, and health system efficiency. However, this process brings forth pertinent ethical and legal risks. Ethically, concerns primarily revolve around safeguarding the privacy and confidentiality of sensitive data, alongside the transformation of the doctor-patient relationship through technological interaction. Within the regulatory realm, issues encompass the classification of these tools as medical products, ensuring normative assurance of effective protection of mental health data, and addressing potential legal risks within this domain. This article aims to provide an overarching view of this landscape, serving as a catalyst for the technological, ethical, and legal discourse necessitated by digital mental health.

BACKGROUND: Advancements in cancer treatment and survivorship rely on participation in research and access to health records.
METHODS: This study explored preferences for data access and sharing in 14 workshops with 42 community members, most of whom were a cancer survivor or carer. Various scenarios for data access and sharing were presented and discussed, with participants\' preferences summarized using descriptive statistics. Reasons underlying these preferences were identified through a thematic analysis of workshop transcripts.
RESULTS: Most participants indicated a willingness for researchers to use their self-report data and current health records for a specific research project (86%). Many were also willing for their self-report data and current (62%) or all future (44%) health records to be shared with other researchers for use in other studies if made aware of this. Willingness to consent to data access and sharing data in cancer research was influenced by: (i) the potential for data sharing to advance medical discoveries and benefit people impacted by cancer in the future, (ii) transparency around researchers\' credibility and their intentions for data sharing, (iii) level of ownership and control over data sharing, and (iv) protocols for privacy and confidentiality in data sharing.
CONCLUSIONS: Based on these themes, we present practical strategies for optimizing data access and sharing in cancer research.

This study explores integrating blockchain technology into the Internet of Medical Things (IoMT) to address security and privacy challenges. Blockchain\'s transparency, confidentiality, and decentralization offer significant potential benefits in the healthcare domain. The research examines various blockchain components, layers, and protocols, highlighting their role in IoMT. It also explores IoMT applications, security challenges, and methods for integrating blockchain to enhance security. Blockchain integration can be vital in securing and managing this data while preserving patient privacy. It also opens up new possibilities in healthcare, medical research, and data management. The results provide a practical approach to handling a large amount of data from IoMT devices. This strategy makes effective use of data resource fragmentation and encryption techniques. It is essential to have well-defined standards and norms, especially in the healthcare sector, where upholding safety and protecting the confidentiality of information are critical. These results illustrate that it is essential to follow standards like HIPAA, and blockchain technology can help ensure these criteria are met. Furthermore, the study explores the potential benefits of blockchain technology for enhancing inter-system communication in the healthcare industry while maintaining patient privacy protection. The results highlight the effectiveness of blockchain\'s consistency and cryptographic techniques in combining identity management and healthcare data protection, protecting patient privacy and data integrity. Blockchain is an unchangeable distributed ledger system. In short, the paper provides important insights into how blockchain technology may transform the healthcare industry by effectively addressing significant challenges and generating legal, safe, and interoperable solutions. Researchers, doctors, and graduate students are the audience for our paper.

Well-trained, competent therapists are crucial for safe and effective psychedelic-assisted therapy (PAT). The question whether PAT training programs should require aspiring therapists to undergo their own PAT-commonly referred to as \"experiential training\"-has received much attention within the field. In this article, we analyze the potential benefits of experiential training in PAT by applying the framework developed by Rolf Sandell et al. concerning the functions of any training therapy (the therapeutic, modeling, empathic, persuasive, and theoretical functions). We then explore six key domains in which risks could arise through mandatory experiential training: physical and psychological risks; negative impact on therapeutic skill; justice, equity, diversity, and inclusion; dual relationships; privacy and confidentiality; and undue pressure. Ultimately, we argue that experiential training in PAT should not be mandatory. Because many PAT training programs already incorporate experiential training methods, our exploration of potential harms and benefits may be used to generate comprehensive risk-mitigation strategies.

Background In the era of rapid digital advancement, the confidentiality and privacy of digital health and medical data have become paramount concerns. This study investigates the perspectives of individuals residing in Hail City regarding these critical issues, with a particular emphasis on the influence of demographic factors such as age, gender, and computer proficiency on individuals\' discomfort with health professionals using computers and their trust in researchers. Gaining a deeper understanding of these factors is vital for the development of targeted interventions aimed at enhancing patient comfort and trust in digital health/medical technologies. Methodology This study employed a descriptive cross-sectional design, involving a survey of 775 individuals aged 18 and above in Hail City. The questionnaire was designed to gather information on participants\' demographic characteristics, computer proficiency, experiences with digital health and medical information, and perceptions of health information safety and privacy. To examine the associations and predictive relationships between variables, chi-square tests, correlation analyses, and logistic regression were performed. Results Significant associations were found between gender and discomfort with health professionals using computers (chi-square = 60.29, p < 0.0001), and between age and trust in researchers regarding the privacy of medical information (chi-square = 50.14, p < 0.0001). Positive correlations were observed between computer proficiency and perception of health information safety (r = 0.12, p = 0.0002), while a negative correlation was found between computer ownership and avoidance of medical tests due to privacy concerns (r = -0.08, p = 0.03). Logistic regression analysis identified age, gender, and computer proficiency as significant predictors of discomfort with health professionals using computers. The findings highlight the crucial role that demographic factors play in shaping attitudes toward the privacy and security of digital health and medical information. Conclusions The findings of this study highlight the crucial role that demographic factors play in shaping attitudes toward the privacy and security of digital health and medical information. Gender and age were found to significantly influence individuals\' levels of discomfort and trust, while computer proficiency was shown to enhance perceptions of safety. Based on these findings, the researchers recommend implementing targeted interventions, such as gender-sensitive training programs and initiatives, to enhance digital literacy and improve patient comfort and trust in digital health technologies.

This research identifies the circumstances in which Human Research Ethics Committees (HRECs) are trusted by Australians to approve the use of genomic data - without express consent - and considers the impact of genomic data sharing settings, and respondent attributes, on public trust. Survey results (N = 3013) show some circumstances are more conducive to public trust than others, with waivers endorsed when future research is beneficial and when privacy is protected, but receiving less support in other instances. Still, results imply attitudes are influenced by more than these specific circumstances, with different data sharing settings, and participant attributes, affecting views. Ultimately, this research raises questions and concerns in relation to the criteria HRECs use when authorising waivers of consent in Australia.

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BACKGROUND: Health system fragmentation directly contributes to poor health and social outcomes for older adults with multiple chronic conditions and their care partners. Older adults often require support from primary care, multiple specialists, home care, community support services, and other health-care sectors and communication between these providers is unstructured and not standardized. Integrated and interprofessional team-based models of care are a recommended strategy to improve health service delivery to older adults with complex needs. Standardized assessment instruments deployed on digital platforms are considered a necessary component of integrated care. The aim of this study was to develop strategies to leverage an electronic wellness instrument, interRAI Check Up Self Report, to support integrated health and social care for older adults and their care partners in a community in Southern Ontario, Canada.
METHODS: Group concept mapping, a participatory mixed-methods approach, was conducted. Participants included older adults, care partners, and representatives from: home care, community support services, specialized geriatric services, primary care, and health informatics. In a series of virtual meetings, participants generated ideas to implement the interRAI Check Up and rated the relative importance of these ideas. Hierarchical cluster analysis was used to map the ideas into clusters of similar statements. Participants reviewed the map to co-create an action plan.
RESULTS: Forty-one participants contributed to a cluster map of ten action areas (e.g., engagement of older adults and care partners, instrument\'s ease of use, accessibility of the assessment process, person-centred process, training and education for providers, provider coordination, health information integration, health system decision support and quality improvement, and privacy and confidentiality). The health system decision support cluster was rated as the lowest relative importance and the health information integration was cluster rated as the highest relative importance.
CONCLUSIONS: Many person-, provider-, and system-level factors need to be considered when implementing and using an electronic wellness instrument across health- and social-care providers. These factors are highly relevant to the integration of other standardized instruments into interprofessional team care to ensure a compassionate care approach as technology is introduced.