Application of the Internet of Things (IoT) in Health: the Future of Personal Care
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Internet of Things (IoT), Health, Personalized Services
Abstract
The application of the Internet of Things (IoT) in healthcare has revolutionized healthcare in an unprecedented way. IoT allows devices to interconnect, collect data, and exchange information in real-time, which can improve health monitoring, diagnosis, and disease management in a more effective way. This research aims to investigate the potential application of the Internet of Things (IoT) in improving personalized healthcare. The focus is on the ability of IoT to monitor health conditions in real-time, improve early diagnosis, provide customized care, and increase the overall efficiency of the health system. This research uses a qualitative and quantitative approach by conducting a literature review on the application of IoT in healthcare, as well as analyzing data from case studies of IoT technology implementation in personal healthcare. The results of this study reveal the great potential of IoT applications in improving personal healthcare, including remote monitoring of patient conditions, data-driven disease prediction, individualized treatment customization, and cost efficiency in the healthcare system. The implementation of IoT technology also brings challenges such as data privacy, system security, and cross-platform integration that need to be overcome to maximize its benefits. The conclusion of this study is that the application of the Internet of Things (IoT) in healthcare promises a more effective and efficient future of personalized healthcare. However, technical, ethical, and security challenges need to be overcome for these applications to be successful. With an increased understanding of the benefits and risks of IoT adoption in healthcare, appropriate steps can be taken to ensure better personalized healthcare in the future.
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References
Achmad Solechan, Jarot Dian Susatyono, Toni Wijanarko Ap., & Febryantahanuji Febryantahanuji. (2022). PELUANG BISNIS PADA PENERAPAN INDUSTRIAL INTERNET OF THING (IIoT). Jurnal Publikasi Ilmu Komputer Dan Multimedia, 1(3), 259–268. https://doi.org/10.55606/jupikom.v1i3.784
Ahmad, M., Amin, M. B., Hussain, S., Kang, B. H., Cheong, T., & Lee, S. (2016). Health Fog: A novel framework for health and wellness applications. The Journal of Supercomputing, 72(10), 3677–3695. https://doi.org/10.1007/s11227-016-1634-x
Alamri, H., Lowell, V., Watson, W., & Watson, S. L. (2020). Using personalized learning as an instructional approach to motivate learners in online higher education: Learner self-determination and intrinsic motivation. Journal of Research on Technology in Education, 52(3), 322–352. https://doi.org/10.1080/15391523.2020.1728449
Al-Garadi, M. A., Mohamed, A., Al-Ali, A. K., Du, X., Ali, I., & Guizani, M. (2020). A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security. IEEE Communications Surveys & Tutorials, 22(3), 1646–1685. https://doi.org/10.1109/COMST.2020.2988293
Ali, M. S., Vecchio, M., Pincheira, M., Dolui, K., Antonelli, F., & Rehmani, M. H. (2019). Applications of Blockchains in the Internet of Things: A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 21(2), 1676–1717. https://doi.org/10.1109/COMST.2018.2886932
Ayaz, M., Ammad-Uddin, M., Sharif, Z., Mansour, A., & Aggoune, E.-H. M. (2019). Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk. IEEE Access, 7, 129551–129583. https://doi.org/10.1109/ACCESS.2019.2932609
Bauer, G. R., & Scheim, A. I. (2019). Methods for analytic intercategorical intersectionality in quantitative research: Discrimination as a mediator of health inequalities. Social Science & Medicine, 226, 236–245. https://doi.org/10.1016/j.socscimed.2018.12.015
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15–16), 4719–4742. https://doi.org/10.1080/00207543.2017.1402140
Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., Carty, C., Chaput, J.-P., Chastin, S., Chou, R., Dempsey, P. C., DiPietro, L., Ekelund, U., Firth, J., Friedenreich, C. M., Garcia, L., Gichu, M., Jago, R., Katzmarzyk, P. T., … Willumsen, J. F. (2020). World Health Organization 2020 guidelines on physical activity and sedentary behaviour. British Journal of Sports Medicine, 54(24), 1451–1462. https://doi.org/10.1136/bjsports-2020-102955
Cheng, X., Lyu, F., Quan, W., Zhou, C., He, H., Shi, W., & Shen, X. (2019). Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach. IEEE Journal on Selected Areas in Communications, 37(5), 1117–1129. https://doi.org/10.1109/JSAC.2019.2906789
Chettri, L., & Bera, R. (2020). A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems. IEEE Internet of Things Journal, 7(1), 16–32. https://doi.org/10.1109/JIOT.2019.2948888
Dai, H.-N., Zheng, Z., & Zhang, Y. (2019). Blockchain for Internet of Things: A Survey. IEEE Internet of Things Journal, 6(5), 8076–8094. https://doi.org/10.1109/JIOT.2019.2920987
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 54. https://doi.org/10.1186/s40537-019-0217-0
Dwivedi, A., Srivastava, G., Dhar, S., & Singh, R. (2019). A Decentralized Privacy-Preserving Healthcare Blockchain for IoT. Sensors, 19(2), 326. https://doi.org/10.3390/s19020326
Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S., & Dean, J. (2019). A guide to deep learning in healthcare. Nature Medicine, 25(1), 24–29. https://doi.org/10.1038/s41591-018-0316-z
Greco, L., Percannella, G., Ritrovato, P., Tortorella, F., & Vento, M. (2020). Trends in IoT based solutions for health care: Moving AI to the edge. Pattern Recognition Letters, 135, 346–353. https://doi.org/10.1016/j.patrec.2020.05.016
Janz, N. K., & Becker, M. H. (1984). The Health Belief Model: A Decade Later. Health Education Quarterly, 11(1), 1–47. https://doi.org/10.1177/109019818401100101
Koroniotis, N., Moustafa, N., Sitnikova, E., & Turnbull, B. (2019). Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset. Future Generation Computer Systems, 100, 779–796. https://doi.org/10.1016/j.future.2019.05.041
Lu, Y., Huang, X., Dai, Y., Maharjan, S., & Zhang, Y. (2020). Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT. IEEE Transactions on Industrial Informatics, 16(6), 4177–4186. https://doi.org/10.1109/TII.2019.2942190
Manavalan, E., & Jayakrishna, K. (2019). A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Computers & Industrial Engineering, 127, 925–953. https://doi.org/10.1016/j.cie.2018.11.030
Megawati, S. (2021). Pengembangan Sistem Teknologi Internet of Things Yang Perlu Dikembangkan Negara Indonesia. Journal of Information Engineering and Educational Technology, 5(1), 19–26. https://doi.org/10.26740/jieet.v5n1.p19-26
Mesko, B., & Gy?rffy, Z. (2019). The Rise of the Empowered Physician in the Digital Health Era: Viewpoint. Journal of Medical Internet Research, 21(3), e12490. https://doi.org/10.2196/12490
Mohamad Noor, M. B., & Hassan, W. H. (2019). Current research on Internet of Things (IoT) security: A survey. Computer Networks, 148, 283–294. https://doi.org/10.1016/j.comnet.2018.11.025
Mulyasari, D., Noer, R. M., Sari, N., Ermawaty, E., Triharyadi, F., Tampubolon, D., & Catherine, S. (2023). Improving Health Status in The Elderly Through Health Checks and Education at Nuriah Nursing Homes in Karimun. Pengabdian: Jurnal Abdimas, 1(2), 75–81. https://doi.org/10.55849/abdimas.v1i2.183
Qiu, H., Qiu, M., Liu, M., & Memmi, G. (2020). Secure Health Data Sharing for Medical Cyber-Physical Systems for the Healthcare 4.0. IEEE Journal of Biomedical and Health Informatics, 24(9), 2499–2505. https://doi.org/10.1109/JBHI.2020.2973467
Rajpurkar, P., Chen, E., Banerjee, O., & Topol, E. J. (2022). AI in health and medicine. Nature Medicine, 28(1), 31–38. https://doi.org/10.1038/s41591-021-01614-0
Ratna, S. (2020). SISTEM MONITORING KESEHATAN BERBASIS INTERNET OF THINGS (IoT). AL ULUM JURNAL SAINS DAN TEKNOLOGI, 5(2), 83. https://doi.org/10.31602/ajst.v5i2.2913
Shafique, K., Khawaja, B. A., Sabir, F., Qazi, S., & Mustaqim, M. (2020). Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios. IEEE Access, 8, 23022–23040. https://doi.org/10.1109/ACCESS.2020.2970118
Tao, F., Qi, Q., Wang, L., & Nee, A. Y. C. (2019). Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison. Engineering, 5(4), 653–661. https://doi.org/10.1016/j.eng.2019.01.014
Yomeldi, H. (2020). Decision Making in Internet of Things (IoT): A Systematic Literature Review. ITEJ (Information Technology Engineering Journals), 5(1), 51–65. https://doi.org/10.24235/itej.v5i1.40
Authors
Copyright (c) 2023 Chevi Herli Sumerli A, Noor Diah Erlinawati, Dito Anurogo, Dadang Muhammad Hasyim, Abdullah Ardi
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