Abstract
A variety of innovations have the potential to minimize total costs associated with the treatment and control of chronic illnesses. It includes gadgets that track continuous wellbeing information in which the devices continuously control health indicators and also the devices auto-administer. Numerous patients have kept on utilizing versatile (applications) to deal with various ailments as they approach the fast Internet. By means of the clinical Internet of Things, these gadgets and portable applications are progressively being utilized and consolidated for telemedicine and telehealth (mIoT). The role of Big Data and MIoT in healthcare is addressed in this paper. MIoT is a key component of healthcare’s digital transformation because it enables new business models to evolve, as well as shifts in work processes, efficiency gains, cost reductions, and improved patient interactions. The following are the outcomes: Wellness, well-being schooling, side effect monitoring, community-oriented illness the executives, and care planning are all supported by wearable and mobile apps today. Both of these platform analytics will improve the accuracy of data interpretations while also decreasing the time spent by end users piecing together data outputs Information derived from big data research can lead to the digital transformation of the healthcare system, enterprise operations, and real-time decision-making. “Personal preventative fitness mentors” will be a new class of “digital wellness advisors.“ These employees will have the knowledge and skills to analyze and comprehend the health and well-being of data. They will assist their clients in avoiding chronic and diet-related illness, improving cognitive function, mental wellbeing, and overall lifestyles. Such positions will become increasingly relevant as the world’s population increases.
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Mishra, A., Kumari, N., Bisoy, S.K., Sahoo, S. (2022). Integration of Medical Internet of Things with Big Data in Healthcare Industry. In: Mishra, S., González-Briones, A., Bhoi, A.K., Mallick, P.K., Corchado, J.M. (eds) Connected e-Health. Studies in Computational Intelligence, vol 1021. Springer, Cham. https://doi.org/10.1007/978-3-030-97929-4_2
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