Department of Biomedical Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh
*Corresponding author. E-mail address: anasferdous001@gmail.com (A.S.M A Ferdous)
Online Published on 02 February, 2026.
Wearable devices and mobile health (mHealth) applications have transformed healthcare by facilitating real-time remote patient monitoring (RPM). These technologies provide ongoing monitoring of vital signs, management of chronic diseases, and tailored health treatments, enhancing patient outcomes and decreasing hospital readmissions. The amalgamation of artificial intelligence (AI) and the Internet of Things (IoT) has augmented the efficacy of remote patient monitoring (RPM) through predictive analytics, automatic notifications, and fluid data interchange. This literature study seeks to examine the amalgamation of wearable devices with mHealth applications, emphasizing their development, advantages, obstacles, and prospective future. The review consolidates recent studies on wearable-integrated healthcare solutions, highlighting their uses in chronic illness management, post-surgical monitoring, geriatric care, and mental health assessment. Essential findings demonstrate that wearable-integrated mHealth applications augment patient engagement, enable early disease identification, and refine clinical decision-making. Nonetheless, considerable hurdles remain, encompassing data privacy issues, limitations in sensor accuracy, interoperability complications with Electronic Health Records (EHRs), and sustained user adherence over time. Identified research needs encompass the necessity for advanced AI-driven health forecasts, fortified data security protocols, and standardized frameworks for the smooth integration of healthcare systems. Future research must prioritize the advancement of more dependable and secure wearable health technology, enhance access to digital healthcare for marginalized people, and undertake extensive clinical trials to substantiate wearable-based remote patient monitoring systems. By tackling these problems, wearable-integrated mHealth applications can significantly influence the future of patient-centered, data-driven healthcare.
Wearable Devices, mHealth Applications, Remote Patient Monitoring (RPM), Artificial Intelligence (AI), Chronic Disease Management, Telemedicine, Healthcare Technology, Electronic Health Records (EHRs)
