Oct 2026· International Journal of Innovative Technologies in Social Science· Vol 1· 0 citations· 21 references
TL;DR
This analysis targeted data documenting the logistical friction, long-term adherence failures, and unequal access surrounding continuous glucose monitors, ambulatory cardiac patches, and multi-parameter tracking devices.
Abstract
Background Clinical-grade wearable biosensors offer significant potential for tracking chronic diseases outside the hospital. However, while the hardware itself is highly accurate, the medical field still struggles with the logistical reality of deploying these tools. The structural barriers preventing widespread clinical use, and the ways these hurdles impact overall health equity, lack rigorous synthesis in the current literature.
Objective Moving beyond pure hardware accuracy, this analysis maps the practical realities of continuous patient surveillance. It specifically investigates the institutional workflow bottlenecks, hardware usability hurdles, and underlying economic disparities that dictate how monitoring programs actually function for populations managing heart failure, diabetes, or COPD.
Methodology Peer-reviewed literature spanning 2018 to 2026 was extracted from PubMed/MEDLINE and Google Scholar. The inclusion criteria deliberately filtered out purely technical validation studies. Instead, the analysis targeted data documenting the logistical friction, long-term adherence failures, and unequal access surrounding continuous glucose monitors, ambulatory cardiac patches, and multi-parameter tracking devices.
Results The synthesized data show that severe workflow friction and poor electronic health record interoperability actively block hospital networks from scaling these programs. On the patient side, a distinct "compliance paradox" emerges. High initial motivation frequently collapses into device abandonment, usually triggered by physical skin irritation, convoluted software interfaces, and low technical literacy. The literature also exposes a severe digital divide. A patient's income bracket, geographic location, and advanced age strictly gatekeep their ability to access continuous medical monitoring.
Conclusion Healthcare networks cannot rely solely on precise hardware to improve chronic disease management. Deploying continuous monitors successfully requires a fundamental shift toward repairing broken clinical workflows and addressing systemic exclusion. Without structural interventions targeting financial and technical accessibility, digital health initiatives will simply reinforce existing medical inequalities.
Wearable biosensors have considerable potential to improve early intervention, lessen healthcare costs, and facilitate remote care models, but additional clinical validation, regulatory alignment, and strong integration into healthcare infrastructures are necessary to realise this potential.
W. Badru, H. Afolabi, R. Elesho et al.· Elicit Journal of Medical Sc...· 0 citations
Clinical evidence indicates AAL networks effectively identify early digital biomarkers of cognitive and physiological decline, mitigating injurious falls and reducing 30-day hospital readmissions, but their unchecked commercial deployment risks institutionalizing diagnostic inequalities.
Antoni Kantor, Kacper Raputa, Jakub Gościński et al.· International Journal of Inn...· 0 citations
Cardiovascular diseases remain the leading cause of global mortality, yet conventional diagnostics are episodic and clinic-centered, missing the dynamic physiological events that unfold between encounters. Wearable devices offer continuous, real-world monitoring and, together with artificial intelligence, digital bioma...
Simona Steliana Tudor, Ancuța Elena Țupu, A. Munteanu et al.· Healthcare· 0 citations
The review reveals that while significant progress has been made in sensor sensitivity, signal processing and algorithmic accuracy, several critical barriers persist before widespread clinical adoption, and proposes a forward-looking framework for all-scenario adaptive dynamic calibration, offering a comprehensive road...
Xiao-Xiao Xu, Wen-Han Zheng, Yan-Hua Song et al.· Sensor Review· 0 citations
Wearable medical devices integrated with artificial intelligence (AI) are transforming chronic disease management by enabling real-time health monitoring. Despite advances, gaps remain in predictive analytics and seamless integration into clinical workflows. This review addresses these challenges by evaluating AI-drive...
S. Ranga· International Journal For Mu...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.