Abstract
Advances in data science have highlighted the potential, for example, for an early detection of a disease, of large-scale data to contribute to health care. In addition, attempts can be made to ensure patient safety through the rapid detection of signs of seizures based on combinatorial data. The potential of mobile health (mHealth) as a concrete implementation of these approaches is discussed with examples in this chapter. Specifically, this chapter presents a review of the prospects of (1) electronic health records/patient health records (EHRs/PHRs), (2) wearable devices, (3) virtual reality, (4) artificial intelligence/machine learning, (5) medical interventions from a distance, (6) trends of mHealth providers, (7) technology for early detection of diseases, and (8) cost-effectiveness of mHealth. The aim of this discussion is to obtain an overview of the future prospects of mHealth in health care. In the future, sooner or later, the elderly population will increase in every country, extending healthy life expectancy by preventing diseases. In this condition, maintaining the productivity of the entire society by ensuring the activity of the elderly people, and improving the efficiency of medical care will become a challenge. Various types of mHealth solutions are significant for these issues.
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Niwa, M. (2022). mHealth as a Component of Next-Generation Health Care. In: Kodama, K., Sengoku, S. (eds) Mobile Health (mHealth). Future of Business and Finance. Springer, Singapore. https://doi.org/10.1007/978-981-19-4230-3_8
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