Effectiveness of Wearable Internet of Medical Things in Monitoring Chronic Diseases in Urban Communities in Indonesia
DOI:
https://doi.org/10.55927/fjst.v5i2.8Keywords:
Wearable IoMT, Chronic Diseases, Urban Health, Systematic Literature Review, Digital Health.Abstract
The increasing prevalence of chronic diseases in urban areas in Indonesia demands a health monitoring system that is sustainable, adaptive, and integrated with the development of digital technology. The Wearable Internet of Medical Things (IoMT) is emerging as an innovative approach to support real-time and continuous monitoring of health conditions, but scientific evidence on its effectiveness is still scattered and has not been systematically synthesized, particularly in the context of developing countries. This study aims to evaluate the effectiveness of the use of IoMT-based wearable devices in monitoring chronic diseases and identify key outcome indicators, implementation challenges, and their implications for urban communities in Indonesia. The research method uses Systematic Literature Review with the guidance of PRISMA 2020 through a systematic search of literature using Google Scholar as the main indexing engine, with the inclusion criteria of empirical research articles that discuss chronic disease monitoring using wearable IoMT. The literature selection process was carried out in stages, followed by narrative and comparative analysis of the main findings. The results of the study show that the consistent use of wearable IoMT contributes to improving the quality of clinical monitoring, patient adherence to disease management, and the efficiency of healthcare services, especially in diabetes, hypertension, and cardiovascular diseases. However, a number of limitations are still found, including digital literacy, health data security, and technology access gaps. In conclusion, IoMT wearables have significant potential as a supporting instrument for chronic disease management in urban areas of Indonesia and provide conceptual and practical contributions to the development of digital health policies and advanced research based on local contexts
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