The Role of IoT and Emerging Technologies in Shaping Smart Hospitals
DOI:
https://doi.org/10.61978/medicor.v3i2.1083Keywords:
Smart Hospitals, Internet of Things, Patient Safety, Operational Efficiency, Digital Healthcare Transformation, Artificial Intelligence, Big DataAbstract
Smart hospitals represent a transformative model in healthcare, leveraging Internet of Things (IoT), artificial intelligence (AI), big data, and blockchain to improve operational efficiency and patient safety. This narrative review synthesizes current literature on the implementation and impact of these technologies in hospital environments. The findings show that IoT integration reduces operational redundancies, enhances real-time patient monitoring, and supports predictive analytics to prevent clinical errors. Supporting technologies such as AI and blockchain strengthen data-driven decision-making and secure data management. However, challenges persist, including interoperability issues, cybersecurity risks, and disparities in adoption across regions. The review underscores the importance of policy frameworks, workforce readiness, and governance structures in enabling successful implementation. Future research should prioritize longitudinal and comparative studies to better evaluate the long-term effects of smart hospitals and promote equitable digital transformation in healthcare systems.
References
(2025). The effect of smart bed on pressure ulcer prevention among patients with stroke in west java, indonesia. The Malaysian Journal of Nursing, 16(02), 30-38. https://doi.org/10.31674/mjn.2025.v16isupp2.004 DOI: https://doi.org/10.31674/mjn.2025.v16isupp2.004
Adibi, S., Rajabifard, A., Shojaei, D., & Wickramasinghe, N. (2024). Enhancing healthcare through sensor-enabled digital twins in smart environments: a comprehensive analysis. Sensors, 24(9), 2793. https://doi.org/10.3390/s24092793 DOI: https://doi.org/10.3390/s24092793
Akbarzadeh, O., Baradaran, M., & Khosravi, M. (2021). IoT‐based smart management of healthcare services in hospital buildings during COVID‐19 and future pandemics. Wireless Communications and Mobile Computing, 2021(1). https://doi.org/10.1155/2021/5533161 DOI: https://doi.org/10.1155/2021/5533161
Allam, A., Gomaa, I., Zayed, H., & Taha, M. (2024). IoT-based eHealth using blockchain technology: a survey. Cluster Computing, 27(6), 7083-7110. https://doi.org/10.1007/s10586-024-04357-y DOI: https://doi.org/10.1007/s10586-024-04357-y
Almotairi, K. (2022). Application of internet of things in healthcare domain. Journal of Umm Al-Qura University for Engineering and Architecture, 14(1), 1-12. https://doi.org/10.1007/s43995-022-00008-8 DOI: https://doi.org/10.1007/s43995-022-00008-8
Bellavista, P., Torello, M., Corradi, A., & Foschini, L. (2021). Smart management of healthcare professionals involved in COVID-19 contrast with swaps. Frontiers in Sustainable Cities, 3. https://doi.org/10.3389/frsc.2021.638743 DOI: https://doi.org/10.3389/frsc.2021.638743
Dwivedi, P., & Singha, M. (2021). IoT based wearable healthcare system: post COVID-19. In Proceedings (pp. 305-321). https://doi.org/10.1007/978-3-030-66490-9_13 DOI: https://doi.org/10.1007/978-3-030-66490-9_13
Gomes, J., Rodrigues, J., Rabêlo, R., Tanwar, S., Al‐Muhtadi, J., & Kozlov, S. (2020). A novel internet of things‐based plug‐and‐play multigas sensor for environmental monitoring. Transactions on Emerging Telecommunications Technologies, 32(6). https://doi.org/10.1002/ett.3967 DOI: https://doi.org/10.1002/ett.3967
Govardanan, C., Murugan, R., Yenduri, G., Raj, G., Bhulakshmi, D., Kandati, D., … & Jhaveri, R. (2024). The amalgamation of federated learning and explainable artificial intelligence for the internet of medical things: a review. Recent Advances in Computer Science and Communications, 17(4). https://doi.org/10.2174/0126662558266152231128060222 DOI: https://doi.org/10.2174/0126662558266152231128060222
Junaid, S., Imam, A., Shuaibu, A., Basri, S., Kumar, G., Surakat, Y., … & Alazzawi, A. (2022). Artificial intelligence, sensors and vital health signs: a review. Applied Sciences, 12(22), 11475. https://doi.org/10.3390/app122211475 DOI: https://doi.org/10.3390/app122211475
Kaur, R., Pasricha, R., & Kaur, B. (2020). A study of wireless body area networks and its routing protocols for healthcare environment. Recent Advances in Electrical & Electronic Engineering, 13(2), 136-152. https://doi.org/10.2174/2352096512666190305152857 DOI: https://doi.org/10.2174/2352096512666190305152857
Khan, M., Alhakami, H., Alhakami, W., Shvetsov, A., & Ullah, I. (2023). A smart card-based two-factor mutual authentication scheme for efficient deployment of an IoT-based telecare medical information system. Sensors, 23(12), 5419. https://doi.org/10.3390/s23125419 DOI: https://doi.org/10.3390/s23125419
Ksibi, A., Mhamdi, H., Ayadi, M., Almuqren, L., Alqahtani, M., Ansari, M., … & Sakli, H. (2023). Secure and fast emergency road healthcare service based on blockchain technology for smart cities. Sustainability, 15(7), 5748. https://doi.org/10.3390/su15075748 DOI: https://doi.org/10.3390/su15075748
Li, L., Jiang, S., Yuan, J., Zhang, L., Xu, X., Wang, J., … & Jin, X. (2024). From data silos to seamless integration and coordination: a data-asset centric approach to smart hospital facility management. Engineering Construction & Architectural Management. https://doi.org/10.1108/ecam-03-2024-0274 DOI: https://doi.org/10.1108/ECAM-03-2024-0274
Minopoulos, G., Memos, V., Stergiou, C., Stergiou, K., Plageras, A., Koidou, M., … & Psannis, K. (2022). Exploitation of emerging technologies and advanced networks for a smart healthcare system. Applied Sciences, 12(12), 5859. https://doi.org/10.3390/app12125859 DOI: https://doi.org/10.3390/app12125859
Muthusamy, P. (2025). Smart MedDB Chain—an intelligent approach for data sharing in medical systems. Innovation and Emerging Technologies, 12. https://doi.org/10.1142/s2737599425400018 DOI: https://doi.org/10.1142/S2737599425400018
Naqvi, M., Iqbal, M., Shahzad, S., Ashraf, M., Alsubhi, K., & Aljahdali, H. (2023). Ontological model for cohesive smart health services management. Computers Materials & Continua, 74(2), 3679-3695. https://doi.org/10.32604/cmc.2023.030340 DOI: https://doi.org/10.32604/cmc.2023.030340
Niu, M., & Zhao, Z. (2025). Research and exploration on intelligent management of medical waste: a case report. https://doi.org/10.3233/faia250188 DOI: https://doi.org/10.3233/FAIA250188
Pandey, S., & Pandey, S. (2022). IoT and healthcare. (pp. 1-16). https://doi.org/10.4018/978-1-6684-3533-5.ch001 DOI: https://doi.org/10.4018/978-1-6684-3533-5.ch001
Patel, W. (2024). Integrating IoT and machine learning for advanced breast cancer detection: a secure framework for enhanced diagnostic accuracy. PMJ, 35(1), 63-76. https://doi.org/10.52783/pmj.v35.i1.2045 DOI: https://doi.org/10.52783/pmj.v35.i1.2045
Pati, A., Parhi, M., Pattanayak, B., Singh, D., Samanta, D., Banerjee, A., … & Dalapati, G. (2022). Diagnose diabetic mellitus illness based on IoT smart architecture. Wireless Communications and Mobile Computing, 2022, 1-20. https://doi.org/10.1155/2022/7268571 DOI: https://doi.org/10.1155/2022/7268571
Salem, M., Elkaseer, A., El-Maddah, I., Youssef, K., Scholz, S., & Mohamed, H. (2022). Non-invasive data acquisition and IoT solution for human vital signs monitoring: applications, limitations and future prospects. Sensors, 22(17), 6625. https://doi.org/10.3390/s22176625 DOI: https://doi.org/10.3390/s22176625
Singh, B., & Kaunert, C. (2024). Leveraging IoT for patient monitoring and smart healthcare. (pp. 27-46). https://doi.org/10.4018/979-8-3693-7225-8.ch002 DOI: https://doi.org/10.4018/979-8-3693-7225-8.ch002
Thirugnanam, T., Galety, M., Pradhan, M., Agrawal, R., Shobanadevi, A., Almufti, S., … & Kumar, R. (2023). PIRAP: medical cancer rehabilitation healthcare center data maintenance based on IoT-based deep federated collaborative learning. International Journal of Cooperative Information Systems, 33(01). https://doi.org/10.1142/s0218843023500053 DOI: https://doi.org/10.1142/S0218843023500053
Wang, P. (2025). From complexity to efficiency: context-aware smart infusion pump systems with enhanced medication safety and bidirectional interoperability. https://doi.org/10.3233/shti251182 DOI: https://doi.org/10.3233/SHTI251182
Zhang, L., Yang, G., Li, J., & Liang, J. (2024). A novel medical cyber-physical systems based on digital twin-driven platform. International Journal of High Speed Electronics and Systems. https://doi.org/10.1142/s0129156425401299 DOI: https://doi.org/10.1142/S0129156425401299
Кумар, А., Masud, M., Alsharif, M., Gaur, N., & Nanthaamornphong, A. (2025). Integrating 6G technology in smart hospitals: challenges and opportunities for enhanced healthcare services. Frontiers in Medicine, 12. https://doi.org/10.3389/fmed.2025.1534551 DOI: https://doi.org/10.3389/fmed.2025.1534551



