Internet of Medical Things (IOMT) And Its Applications in Nursing Services and Dental Clinics in Saudi Hospitals

Abstract

Background: Despite substantial investment in digital health under Saudi Vision 2030, the integration of Internet of Medical Things (IoMT) in nursing services and dental clinics remains insufficiently examined, particularly regarding healthcare professionals' perceptions and adoption barriers in these specific clinical settings. Objective: This study aimed to investigate IoMT implementation patterns, perceived benefits, and challenges among nursing and dental professionals in Saudi hospitals. Methods: A cross-sectional survey was conducted with 207 healthcare professionals (115 nurses, 92 dental professionals) from three tertiary hospitals in Riyadh. Data were collected using a validated questionnaire measuring IoMT usage frequency, perceived benefits (12 items), and challenges (14 items). Independent t-tests, ANOVA, and multiple regression analyses were performed. Results: Nurses reported significantly higher overall benefit perceptions (mean = 3.95, SD = 0.65) compared to dental professionals (mean = 3.66, SD = 0.75; p = 0.003, d = 0.42). Data security emerged as the greatest concern (mean = 3.98, SD = 0.84), with dental professionals expressing significantly higher security concerns (p = 0.010). Significant variations across hospitals were observed for usage frequency (p = 0.001) and challenge perceptions (p = 0.002). Regression analysis revealed that usage frequency (β = 0.34, p < 0.001) and training adequacy (β = 0.24, p < 0.001) were the strongest predictors of positive adoption perceptions. Conclusion: This study provides the first quantitative evidence of IoMT adoption patterns in Saudi nursing and dental settings, highlighting the critical need for targeted training programs and enhanced data security measures to support successful digital transformation under Vision 2030.