Background: South Asian individuals experience a higher burden of chronic diseases and limited access to health care services compared with their Caucasian peers. Digital health interventions can enhance the delivery of health care, minimize health inequities, and consequently improve health status among minority ethnic groups. However, it is unclear how South Asian people view and perceive the use of digital health technologies to support their health needs. Objective: The aim of the review is to identify South Asian individuals’ experiences and attitudes of digital health and explore the barriers and facilitators affecting their use of digital health services. Methods: The Arksey and O’Malley methodological framework was used to guide this scoping review. Five electronic databases were examined for pertinent papers, which were augmented by searching bibliographies of the retrieved papers and gray literature. A total of 1328 potentially relevant papers were retrieved from the initial search, and the supplemental search added 7 papers to the final list of potentially included papers. Each paper on the initial inclusion list was independently reviewed, leaving 15 papers to be included in the review. Results: Data were analyzed thematically leading to the development of two overarching themes: (1) barriers to uptake of digital health and (2) facilitators of use of digital health services. There was a general consensus that South Asian communities still struggle with inadequate access to digital health technologies. Some studies suggest multiple initiatives to improve accessibility and acceptability of digital health services within South Asian communities in order to mitigate health disparities and develop a more inclusive health care system. These include the development of multiple-language and culturally sensitive interventions and digital skill development sessions. Most studies were conducted in South Asian countries, focusing on measurable outcomes of digital health interventions. Few explored the experiences and views of South Asian community members residing in the West as a minority ethnic group, for example, British South Asians. Conclusions: Literature mapping proposes that South Asian people frequently struggle with a health care system that may limit their access to digital health services, and sometimes fails to consider social and cultural needs. There is growing evidence that digital health interventions have the potential to facilitate supported self-management, which is part of the plans to adopt person-centered care. These interventions are particularly important for overcoming some of the challenges, for example, time constraints, safety, and gender sensitivity, associated with the delivery of health care interventions in minority ethnic groups such as South Asians in the United Kingdom, and thus to improve minority ethnic groups’ access to health care services to support individual health needs, and consequently enhance health status.

The complexity of sensor signal patterns in healthcare, coupled with the variability of physiological data present significant challenges in developing reliable diagnostic and monitoring. While machine learning (ML) has greatly advanced sensor-based health analysis, its decision-making processes often lack transparency, raising concerns about reliability and clinical adoption. This review explores the role of Explainable Artificial Intelligence (XAI) in enhancing the interpretability of ML models for sensor signal analysis, particularly in applications such as pressure sensors, wearable inertial sensors, imaging sensors (MRI, CT, X-ray), ECG, EEG, and wearable health tracking. A systematic literature review was conducted across multiple databases to identify studies applying XAI techniques to sensor-based health monitoring. The review categorizes nine trending XAI methods used to interpret ML-driven analyses of biosignals, evaluating their advantages and limitations in different healthcare scenarios. The findings emphasize the importance of transparency in ML-driven sensor analysis, which is critical for building trust and real-time clinical decisionmaking and wearable healthcare applications. Despite its potential, XAI for sensor signals faces challenges related to model scalability, real-time processing, and clinician interpretability. The review identifies key research gaps in integrating XAI into sensor-based healthcare systems, emphasizing the need for robust validation methods and user-friendly explanations. Ultimately, XAI offers a promising path toward revolutionizing sensor-driven health monitoring, though further advancements are necessary to fully integrate explainability into real-world clinical and assistive applications.

Background/Objectives: Digital programs may extend physical activity support beyond clinic visits, but qualitative evidence on how adults with chronic diseases in Saudi Arabia perceive them is limited. This study explored perceptions, expectations, and acceptability among such adults who had continued using the physical activity function of Sehhaty, the Ministry of Health’s national health application, which served as the reference point. Methods: A COREQ-reported qualitative descriptive study was conducted in chronic disease units at three tertiary centres in Riyadh between December 2025 and February 2026. Semi-structured interviews were held with a purposive sample of 14 adults (38–72 years; 8 women, 6 men) with type 2 diabetes mellitus, hypertension, cardiovascular disease, or combinations, all of whom had used the program independently for 4–16 weeks. Recruitment and analysis proceeded iteratively across two stages (18 approached). Data were analysed using reflexive thematic analysis. Results: Four themes were developed: reframed expectations of what a technology-based presence could offer; a gap between perceived usefulness and everyday usability; the dual motivational and discouraging potential of numerical feedback; and the expectation that programs fit Islamic practice, family involvement, and climate constraints. Conclusions: For these participants, acceptability depended on ease of use, natural Arabic wording, reminders and suggestions that fit prayer times, family routines, and summer heat, and feedback that recognised health circumstances. Because all participants were sustained users, the findings do not estimate acceptability in the wider population.

Background: workforce innovative solutions are warranted to respond to the critical global lack of healthcare professionals and sustain delivery of quality patient care. The Patient Care Technician program was one of the strategies implemented to address this challenge by developing a timely pool of workforce who can take non-complex tasks, alleviating workload on other professionals such as registered nurses. However, since this strategy was recently introduced, its implementation and impact on the delivery of care have not yet been sufficiently investigated. Objectives: This study examines the motivations, experiences, and career aspirations of patient care technician students, alongside program providers’ perceptions and challenges in program delivery. Design & Methods: A qualitative phenomenological study was conducted at three institutions in Western Saudi Arabia, including two tertiary hospitals and a university. Semi-structured interviews were conducted with 27 participants; students, lecturers, preceptors, and management staff. Policy documents were also analyzed, and data were examined using Colaizzi’s seven-step method. Findings: Four key themes emerged: (1) reconciling motivations and influences, (2) training dynamics, (3) career advancement, and (4) navigating acceptance. patient care technician students often felt overqualified for their roles, leading to dissatisfaction and career redirection. The program’s effectiveness was hindered by unclear career pathways and the need for greater cultural sensitivity. Conclusions: Recruiting bachelor’s degree graduates for patient care technician student’s roles may be inefficient, as these positions could be filled by lower-degree holders, potentially reducing costs. Implications: To enhance workforce stability, healthcare policymakers should establish clear career pathways, align job roles with educational qualifications, and adapt the program to local cultural and professional expectations. Addressing these issues can optimize the roles of patient care technician students within the healthcare system and serve as a model for similar workforce strategies globally.

South Asian individuals experience a higher burden of chronic diseases and limited access to health care services compared with their Caucasian peers. Digital health interventions can enhance the delivery of health care, minimize health inequities, and consequently improve health status among minority ethnic groups. However, it is unclear how South Asian people view and perceive the use of digital health technologies to support their health needs. Thus, the aim of this review is to identify South Asian individuals’ experiences and attitudes of digital health and explore the barriers and facilitators affecting their use of digital health services.