Diabetes mellitus is a chronic metabolic disorder with serious global health consequences. This study employs discriminant analysis to identify key health indicators that distinguish diabetics from nondiabetic individuals. This study uses a comprehensive dataset from Kaggle and analyses variables including age, body mass index, glucose, HbA1c, blood pressure, lipid profiles, body measurements, family history, diet, hypertension, and medication use. The results identify glucose, HbA1c, body mass index, blood pressure, and waist circumference as the most significant predictors of diabetes. These findings emphasize the importance of early detection and targeted intervention. Future research should integrate genetic and social factors to enhance prevention strategies.
Chronic obstructive pulmonary disease burdens Saudi health care, yet Internet of Medical Things (IoMT) use among health-care professionals in home care is only 5.5%. This cross-sectional study examined IoMT adoption intention for chronic obstructive pulmonary disease home care among 421 Saudi health-care professionals using an integrated technology acceptance model and diffusion of innovations framework. Behavioral intention was high (median = 12/15), revealing a substantial intention–adoption gap. The model explained 86.9% of variance (R2 = 0.869). Perceived usefulness, ease of use, compatibility, relative advantage, and complexity were significant predictors; younger age and fewer years of experience were associated with higher intention. Key enablers were usefulness, ease of use, compatibility, and relative advantage; complexity was the main barrier. Vision 2030's digital health transformation provides a favorable policy context. Strategies should prioritize intuitive design, workflow integration, and complexity reduction to translate intention into actual IoMT use.
Smart home technologies are increasingly used to support aging in place, yet safety, autonomy, and privacy are often examined separately. This scoping review mapped smart-home functions and analyzed how these values interact in later-life domestic settings. Guided by the Preferred Reporting Items for Systematic Reviews and Meta Analyses for Scoping Reviews and the Sample, Phenomenon of Interest, Design, Evaluation, and Research type framework, seven databases were searched for English-language, full-length, peer-reviewed articles published from January 2000 to 23 May 2026. The final value-oriented corpus included 218 sources. Eleven functional categories were identified, with caregiver support and remote care, fall detection and prevention, social connection, cognitive support, and mobility assistance being the most prominent. The synthesis identified three recurrent mechanisms: surveillance intensification, control displacement, and redistribution of authority and responsibility. The findings indicated that smart-home adaptation requires proportionate monitoring, negotiable user control, and periodic recalibration of permissions, care roles, and accountability.
This article examines the barriers and challenges affecting the integration of fintech into the Saudi Arabian healthcare system. Using a cross-sectional survey design, a study identified 10 barriers from the literature and incorporated them into a questionnaire completed by 395 healthcare workers from Saudi public hospitals, including physicians, specialist physicians, nurses, nurse managers, administrators, and managers. The findings showed that data security, privacy concerns, and the regulatory environment were the most significant barriers, with mean values of 4.26 and 4.21, respectively. Perceptions of the regulatory environment differed significantly across professional roles (p < .0001), with specialist physicians reporting the highest concern. The results emphasize the need for tailored strategies that address role-specific concerns and support effective fintech adoption in Saudi healthcare.
The editorial urges setting aside narrow, efficiency-obsessed models of healthcare quality. It proposes a human-centered alternative that sees patients as co-producers of health and processes as a support web, which is measured successfully by the depth of healing experience. The ultimate goal is nothing less than a revolution—to create health systems not only functioning, but resilient, adaptive, and empowering.
