EMERGING TRENDS AND FUTURE PERSPECTIVES ON CONTINUOUS MONITORING (E.G. CGM, REMOTE ECG) FOR OPTIMIZING TREATMENT ADHERENCE AND QUALITY OF LIFE IN PATIENTS WITH CHRONIC CONDITIONS
DOI:
https://doi.org/10.31435/ijitss.1(49).2026.4700Keywords:
Continuous Monitoring, CGM, Remote ECG, Treatment Adherence, Quality of Life, Artificial Intelligence, Digital Twins, Chronic Disease ManagementAbstract
Background: The escalating prevalence of chronic non-communicable diseases (NCDs), including diabetes mellitus, cardiovascular diseases, and neurodegenerative disorders, presents a significant challenge to global healthcare systems. The traditional paradigm of episodic, reactive care is increasingly proving insufficient. Consequently, a digital transformation is underway, characterized by the adoption of Continuous Monitoring (CM) technologies such as Continuous Glucose Monitoring (CGM), remote Electrocardiography (ECG), and wearable biosensors.
Objectives: This narrative review aims to provide a comprehensive overview of emerging trends in continuous monitoring technologies from 2020 to 2025. Specifically, it evaluates the impact of these technologies on treatment adherence and Quality of Life (QoL), analyzes the integration of Artificial Intelligence (AI) and Digital Twins, and identifies sociotechnical barriers to widespread implementation.
Methodology: A rigorous narrative review was conducted based on a systematic search of high-impact literature. Thirty two key studies, including systematic reviews, meta-analyses, and technical frameworks, were synthesized to explore the intersection of technological innovation (IoMT, AI) and social science dimensions (behavioral change, patient empowerment, and equity).
Results: Current evidence indicates that CM technologies significantly improve clinical outcomes, including HbA1c reduction in diabetes and decreased hospital readmission rates for heart failure. However, the impact on QoL is bidirectional: while fostering empowerment and safety, continuous surveillance can also induce anxiety and symptom preoccupation. Novel frameworks like Digital Twins and AI-driven predictive analytics offer promising avenues for personalized medicine but raise ethical and privacy concerns.
Conclusion: Continuous monitoring serves as a critical enabler of proactive health management. Future advancements must prioritize user-centered design, interoperability, and equitable access to realize the full potential of these technologies in improving societal health and well-being.
References
Adepoju, V. A., Jamil, S., Biswas, M. S., & Chowdhury, A. A. (2025). Wearable technology in the management of chronic diseases: A growing concern. Chronic Diseases and Translational Medicine. Advance online publication. https://doi.org/10.1002/cdt3.156
Alaboson, J., Coffey, L., Shrivastava, S., Ade-Alao, A., & Maguire, R. (2025). Impact of connected health on the psychological wellbeing and quality of life of people with multiple sclerosis and their caregivers: A systematic review. Digital Health, 11, 1–20. https://doi.org/10.1177/20552076251326230
Alhaiti, A. (2025). Integrative technologies in nursing-led interventions for diabetes management: A systematic review of efficacy and outcomes. BMC Nursing, 24, Article 846. https://doi.org/10.1186/s12912-025-03435-9
Barchiesi, M. A., Calabrese, A., Costa, R., Di Pillo, F., D’Uffizi, A., Tiburzi, L., & Zahid, E. (2025). Continuous glucose monitoring in type 2 diabetes: A systematic review of barriers and opportunities for care improvement. International Journal for Quality in Health Care, 37(3), Article mzaf046. https://doi.org/10.1093/intqhc/mzaf046
Cricco, R., Segreti, A., Ferro, A., Beato, S., Castaldo, G., Ciancio, M., Sacco, F. M., Pennazza, G., Ussia, G. P., & Grigioni, F. (2025). Advancements in sensor technology for monitoring and management of chronic coronary syndrome. Sensors, 25(15), Article 4585. https://doi.org/10.3390/s25154585
Ezimoha, K., Faraj, M., Hanumantharayudu, S. K., Surendraiah, P. K. M., Hassan, M. Z., Ibrahim, A. D., Jaber, M., Shah, S., Mefti, M., Niftalieva, G., Ahmed, B., & Rizwanullah, U. (2025). The impact of remote patient monitoring on clinical outcomes in heart failure patients: A meta-analysis. Cureus, 17(9), Article e92812. https://doi.org/10.7759/cureus.92812
Faizan, M., Han, C., & Lee, S. W. (2025). Policy-driven digital health interventions for health promotion and disease prevention: A systematic review of clinical and environmental outcomes. Healthcare, 13(18), Article 2319. https://doi.org/10.3390/healthcare13182319
Guo, S. H.-M., Lin, J.-L., Hsing, H.-C., Lee, C.-C., & Chuang, S.-M. (2023). The effect of mobile eHealth education to improve knowledge, skills, self-care, and mobile eHealth literacies among patients with diabetes: Development and evaluation study. Journal of Medical Internet Research, 25, Article e42497. https://doi.org/10.2196/42497
Haussler, A. M., Tueth, L. E., May, D. S., Earhart, G. M., & Mazzoni, P. (2025). Refinement of an algorithm to detect and predict freezing of gait in Parkinson disease using wearable sensors. Sensors, 25(1), Article 124. https://doi.org/10.3390/s25010124
Huberts, A. S., Long, P., Porth, A.-K., Fierens, L., Carney, N. C., Koppert, L., Kautzky-Willer, A., de Rooij, B. H., & Stamm, T. (2025). Tracking chronic diseases via mobile health applications: Which user experience aspects are key? Healthcare, 13(16), Article 3272. https://doi.org/10.3390/healthcare13163272
Jakubczyk, N., Leszczyńska-Knaga, E., Kurowski, M., Kuczapska, K., Gliwa, A., Ryglewicz, M., Fabian, D., Kwaśniewska, P., Moczydłowski, P., & Michalczuk, K. (2025). The role of wearable devices in tracking the well-being of patients suffering from chronic conditions: The review. Journal of Education, Health and Sport, 79, Article 58310. https://doi.org/10.12775/JEHS.2025.79.58310
Jameil, A. K., & Al-Raweshidy, H. (2025). A digital twin framework for real-time healthcare monitoring: Leveraging AI and secure systems for enhanced patient outcomes. Discover Internet of Things, 5, Article 17. https://doi.org/10.1007/s43926-025-00135-3
Jayousi, S., Barchielli, C., Guarducci, S., Alaimo, M., Caputo, S., Zoppi, P., & Mucchi, L. (2025). From innovation to integration: Bridging the gap between IoMT technologies and real-world health management systems. Sensors, 25(20), Article 6660. https://doi.org/10.3390/s25206660
Kajzar, M. (2024). Wearable devices for training and patient monitoring: A comprehensive review. Quality in Sport, 29, Article 55667. https://doi.org/10.12775/QS.2024.29.55667
Kassaw, M., Amare, G., Shitu, K., Tilahun, B., & Assaye, B. T. (2024). Willingness to use remote patient monitoring among cardiovascular patients in a resource-limited setting: A cross-sectional study. Frontiers in Digital Health, 6, Article 1437134. https://doi.org/10.3389/fdgth.2024.1437134
Khan, U. (2024). Remote patient monitoring and telehealth: The future of cardiac care. International Journal of Engineering Technology Research & Management, 8(6). https://www.ijetrm.com/
Kłak, A., Mańczak, M., Owoc, J., & Olszewski, R. (2021). Impact of continuous glucose monitoring on improving emotional well-being among adults with type 1 diabetes mellitus: A systematic review and meta-analysis. Polish Archives of Internal Medicine, 131(9), 808–818. https://doi.org/10.20452/pamw.16047
Klupa, T., Czupryniak, L., Dzida, G., Fichna, P., Jarosz-Chobot, P., Gumprecht, J., Mysliwiec, M., Szadkowska, A., Bomba-Opon, D., Czajkowski, K., Malecki, M. T., & Zozulinska-Ziolkiewicz, D. A. (2023). Expanding the role of continuous glucose monitoring in modern diabetes care beyond type 1 disease. Diabetes Therapy, 14, 1241–1266. https://doi.org/10.1007/s13300-023-01431-3
Kumar, A., Goel, S., Chaudhary, A., Dutt, S., Mishra, V. K., & Kumar, R. (2025). Artificial intelligence-based wearable sensing technologies for the management of cancer, diabetes, and COVID-19. Biosensors, 15(11), Article 756. https://doi.org/10.3390/bios15110756
Liu, J.-C., Cheng, C.-Y., Cheng, T.-H., Liu, C.-N., Chen, J.-J., & Hao, W.-R. (2024). Unveiling the potential: Remote monitoring and telemedicine in shaping the future of heart failure management. Life, 14(8), Article 936. https://doi.org/10.3390/life14080936
Lodewyk, K., Wiebe, M., Dennett, L., Larsson, J., Greenshaw, A., & Hayward, J. (2025). Wearables research for continuous monitoring of patient outcomes: A scoping review. PLOS Digital Health, 4(5), Article e0000860. https://doi.org/10.1371/journal.pdig.0000860
Lu, L., Zhang, J., Xie, Y., Gao, F., Xu, S., Wu, X., & Ye, Z. (2020). Wearable health devices in health care: Narrative systematic review. JMIR mHealth and uHealth, 8(11), Article e18907. https://doi.org/10.2196/18907
Lu, T., Lin, Q., Yu, B., & Hu, J. (2025). A systematic review of strategies in digital technologies for motivating adherence to chronic illness self-care. npj Health Systems, 2, Article 13. https://doi.org/10.1038/s44401-025-00017-4
Moore, J., McMeekin, P., Parkes, T., Walker, R., Morris, R., Stuart, S., Hetherington, V., & Godfrey, A. (2024). Contextualizing remote fall risk: Video data capture and implementing ethical AI. npj Digital Medicine, 7, Article 61. https://doi.org/10.1038/s41746-024-01050-7
Okeme, A. B. K., Enyejo, L. A., & Ibrahim, A. I. (2025). Exploring the impact of wearable health devices on chronic disease management. International Journal of Advance Research Publication and Reviews, 2(2), 43–69.
Pong, C., Tseng, R. M. W. W., Tham, Y. C., & Lum, E. (2024). Current implementation of digital health in chronic disease management: Scoping review. Journal of Medical Internet Research, 26, Article e53576. https://doi.org/10.2196/53576
Rosman, L., Lampert, R., Zhuo, S., Li, Q., Varma, N., Burg, M., Gaffey, A. E., Armbruster, T., & Gehi, A. (2024). Wearable devices, health care use, and psychological well-being in patients with atrial fibrillation. Journal of the American Heart Association, 13(2), Article e033750. https://doi.org/10.1161/JAHA.123.033750
Sadiq, I., Ijaz, A., & Imran, A. (2025). Wrist-worn devices for remote monitoring of cardiovascular disease: A survey. IEEE Access, 13, 151136–151155. https://doi.org/10.1109/ACCESS.2025.3602893
Saeed, A., AlQahtani, A., AlShafea, A., Bin Saeed, A., & Albraik, M. (2024). The impact of telemedicine on cardiac patient outcomes: A study in Saudi Arabian hospitals. AIMS Medical Science, 11(4), 439–451. https://doi.org/10.3934/medsci.2024030
Tan, S. Y., Sumner, J., Wang, Y., & Yip, A. W. (2024). A systematic review of the impacts of remote patient monitoring (RPM) interventions on safety, adherence, quality-of-life and cost-related outcomes. npj Digital Medicine, 7, Article 192. https://doi.org/10.1038/s41746-024-01182-w
Tan, Y. Y., Suan, E., Koh, G. C. H., Suhairi, S. B., & Tyagi, S. (2024). Effectiveness of continuous glucose monitoring in patient management of type 2 diabetes mellitus: An umbrella review of systematic reviews from 2011 to 2024. Archives of Public Health, 82, Article 231. https://doi.org/10.1186/s13690-024-01459-2
Tsvetanov, F. (2024). Integrating AI technologies into remote monitoring patient systems. Engineering Proceedings, 70, Article 54. https://doi.org/10.3390/engproc2024070054
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