Harnessing Technology for Enhanced Patient Care and Monitoring
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Abstract
This study looks into how individuals with chronic illnesses' levels of physical activity are affected by wearable health monitoring devices. We looked at participant demographics, health status, and physical activity information throughout an eight-week period using a quantitative method. The findings show that wearing wearable technology is positively correlated with higher levels of physical activity. Our results support previous studies by highlighting the usefulness of wearables in encouraging behavior modification. Notably, the study offers a deeper picture of wearable device adoption by contributing information regarding health problems and demographic characteristics. The ramifications for the practice of medicine indicate that include wearables in care plans could improve patient interventions for chronic illnesses. While acknowledging study limitations, the overall conclusion supports the The general conclusion acknowledges the limits of the study but affirms the revolutionary role that wearable technology will play in reshaping healthcare, improving patient outcomes, and encouraging proactive health management.
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References
Al-Omoush, K. S., Simón-Moya, V., & Sendra-García, J. (2020). The impact of social capital and collaborative knowledge creation on e-business proactiveness and organizational agility in responding to the COVID-19 crisis. Journal of Innovation & Knowledge, 5(4), 279-288.
Batty, G. D., Gale, C. R., Kivimäki, M., Deary, I. J., & Bell, S. (2020). Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis. bmj, 368.
Bianchi, V., Bassoli, M., Lombardo, G., Fornacciari, P., Mordonini, M., & De Munari, I. (2019). IoT wearable sensor and deep learning: An integrated approach for personalized human activity recognition in a smart home environment. IEEE Internet of Things Journal, 6(5), 8553-8562.
Boersma, P., Black, L. I., & Ward, B. W. (2020). Peer reviewed: prevalence of multiple chronic conditions among US adults, 2018. Preventing chronic disease, 17.
Bohr, A., & Memarzadeh, K. (2020). The rise of artificial intelligence in healthcare applications. In Artificial Intelligence in healthcare (pp. 25-60). Academic Press.
Brickwood, K. J., Watson, G., O'Brien, J., & Williams, A. D. (2019). Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis. JMIR mHealth and uHealth, 7(4), e11819.
Cohen, K. A., Graham, A. K., & Lattie, E. G. (2022). Aligning students and counseling centers on student mental health needs and treatment resources. Journal of American College Health, 70(3), 724-732.
Jyotsna, F. N. U., Ahmed, A., Kumar, K., Kaur, P., Chaudhary, M. H., Kumar, S., ... & Kumar, F. K. (2023). Exploring the complex connection between diabetes and cardiovascular disease: analyzing approaches to mitigate cardiovascular risk in patients with diabetes. Cureus, 15(8).
Kheirkhahan, M., Nair, S., Davoudi, A., Rashidi, P., Wanigatunga, A. A., Corbett, D. B., ... & Ranka, S. (2019). A smartwatch-based framework for real-time and online assessment and mobility monitoring. Journal of biomedical informatics, 89, 29-40.
Priyadharshini, S. K. (2019). Redefining Workplace Wellness: Wearable Technology and Corporate Wellness. Ushus Journal of Business Management, 18(2), 43-53.
Puneeth, R. P., & Parthasarathy, G. (2023). Seamless Data Exchange: Advancing Healthcare with Cross-Chain Interoperability in Blockchain for Electronic Health Records. International Journal of Advanced Computer Science and Applications, 14(10).
Shirowzhan, S., Sepasgozar, S. M., Edwards, D. J., Li, H., & Wang, C. (2020). BIM compatibility and its differentiation with interoperability challenges as an innovation factor. Automation in Construction, 112, 103086.
Strain, T., Wijndaele, K., Dempsey, P. C., Sharp, S. J., Pearce, M., Jeon, J., ... & Brage, S. (2020). Wearable-device-measured physical activity and future health risk. Nature medicine, 26(9), 1385-1391.
Swede, M. J., Scovetta, V., & Eugene-Colin, M. (2019). Protecting patient data is the new scope of practice: A recommended cybersecurity curricula for healthcare students to prepare for this challenge. Journal of allied health, 48(2), 148-156.
Van Calster, B., Wynants, L., Timmerman, D., Steyerberg, E. W., & Collins, G. S. (2019). Predictive analytics in health care: how can we know it works?. Journal of the American Medical Informatics Association, 26(12), 1651