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Wearable Health Technology: Integrating Devices and Health Care Systems for Better Monitoring
Vishnupriya S Devarajulu
Priyadevaraj.net@gmail.com
Abstract
Wearable health technology has the potential to revolutionize the healthcare industry by allowing continuous monitoring, timely identification of health problems, and customized treatment. This paper presents a possible integration of wearable technology in a healthcare system, introducing a smartwatch, a fitness tracker, and biosensors in improving patient observation and care. The integrated wearable devices with electronic health records, artificial intelligence, and big data analytics lead toward better decision-making processes, improved patient outcomes, and cost efficiency in health care delivery. While discussing the wireless health technologies, the paper addresses the problems regarding data privacy, interoperability, and patient engagement in the implementation of wearable health technologies.
Conclusion
Wearable health technology is poised to revolutionize the health sector because it affords the possibility of live, real-time monitoring of health, thus providing patients with independence to take responsibility for themselves. Connecting wearables with a health care system, especially regarding EHRs, AI, and big data analytics, supplements the capacity of health service providers towards better, more efficient, and focused care services. Challenges in data privacy, interoperability, and patient engagement are some of the realizations that wearable technology in the health sector has yet to exploit. Since wearable devices often keep improving with technology, these products remain on top in the healthcare intervention service delivery, which in turn improves outcomes while curtailing costs.
References
● Ching, T., Himmelstein, D. S., & Beaulieu-Jones, B. K. (2018). Opportunities and obstacles for deep learning in biology and medicine. Journal of The Royal Society Interface, 15(141), 20170387.
● Gurupur, V. P., Wan, T. T. H., & Li, J. (2019). Health informatics: An analytical approach for healthcare professionals. Springer.
● Haghi, M., Thurow, K., & Stoll, R. (2017). Wearable devices in medical internet of things: Scientific research and commercially available devices. Healthcare Informatics Research, 23(1), 4-15.
● Heikenfeld, J., Jajack, A., Feldman, B., Granger, S. W., Ghasemi, H., & Zohar, Y. (2018). Accessing analytes in biofluids for peripheral biochemical monitoring. Nature Biotechnology, 37(4), 407-419.
● Heintzman, N. D. (2015). A digital ecosystem of diabetes data and technology: Services, systems, and tools enabled by wearables, sensors, and apps. Journal of Diabetes Science and Technology, 10(1), 35-41.
● McCarthy, M., McAlearney, A. S., & Song, P. H. (2019). Applications of health information technology to address disparities in chronic disease care: A systematic review. Medical Care Research and Review, 76(1), 19-48.
● Obermeyer, Z., Emanuel, E. J. (2016). Predicting the future—big data, machine learning, and clinical medicine. The New England Journal of Medicine, 375(13), 1216-1219.
● O’Connor, Y., Rowan, W., Lynch, L., & Heavin, C. (2021). Privacy by design: Informed consent and internet of things for smart health. Procedia Computer Science, 177, 99-105.
● Patel, M. S., Asch, D. A., & Volpp, K. G. (2015). Wearable devices as facilitators, not drivers, of health behavior change. JAMA, 313(5), 459-460.
● Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. PLOS Medicine, 13(2), e1001953.
● Shull, P. B., Jirattigalachote, W., Hunt, M. A., Cutkosky, M. R., & Besier, T. F. (2014). Quantified self and human movement: A review on the clinical impact of wearable sensing and feedback for gait analysis and intervention. Gait & Posture, 40(1), 11-19.
● Steinhubl, S. R., Muse, E. D., & Topol, E. J. (2015). Can mobile health technologies transform health care? JAMA, 313(5), 459-460.
● Wang, Y., Kung, L. A., & Byrd, T. A. (2019). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3-13.