Smart Healthcare Services with Cloud and IoT Integration: A Technical Framework
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I3P114Keywords:
Healthcare IoT Integration, Cloud Computing in Medicine, Clinical Decision Support Systems, Medical Data Analytics, Smart Healthcare InfrastructureAbstract
The integration of cloud computing and Internet of Things (IoT) technologies is revolutionizing modern healthcare systems. By examining the fundamental architecture, implementation frameworks, key applications, and future directions of smart healthcare services, we uncover how data collection mechanisms, network infrastructure, cloud platforms, and analytics engines transform patient care, operational efficiency, and clinical decision-making. From remote patient monitoring to hospital operations management and clinical support systems, these technologies address critical challenges in data integration, scalability, and interoperability. The emergence of quantum computing, artificial intelligence, and genomic analysis further demonstrates the potential to enhance healthcare delivery and patient outcomes across diverse medical settings
References
1. WHO, "Global Health Expenditure Database," WHO, 2024. [Online]. Available: https://apps.who.int/nha/database
2. Markets and Markets, "IoT in Healthcare Market by Component (Medical Device, Systems & Software, Services, and Connectivity Technology), Application (Telemedicine, Connected Imaging, and Inpatient Monitoring), End User and Region - Global Forecast to 2028," Market Research Report, 2023. [Online]. Available: https://www.marketsandmarkets.com/Market-Reports/iot-healthcare-market-160082804.html
3. ZPE, "Healthcare Network Design." [Online]. Available: https://zpesystems.com/healthcare-network-design-zs/
4. Guodao Zhang and Nima Jafari Navimipour, "A comprehensive and systematic review of the IoT-based medical management systems: Applications, techniques, trends and open issues," Sustainable Cities and Society, Volume 82, 2022. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S2210670722002360
5. Fazila Malik, "What is Healthcare Data Security? Challenges & Best Practices," Strongdm, 2024. [Online]. Available: https://www.strongdm.com/blog/healthcare-data-security
6. A. Alghamdi, et al., "Healthcare Analytics: A Comprehensive Review," Engineering, Technology & Applied Science Research, Volume 11, 2021. [Online]. Available: https://etasr.com/index.php/ETASR/article/view/3965
7. Luiza Palmieri Serra, et al., "Benefits and Challenges of Remote Patient Monitoring as Perceived by Health Care Practitioners: A Systematic Review," Perm J, 2023. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC10730976/
8. Bishan Nandy, "The impact of artificial intelligence on hospital operations: A comprehensive analysis," Express Healthcare, 2024. [Online]. Available: https://www.expresshealthcare.in/news/the-impact-of-artificial-intelligence-on-hospital-operations-a-comprehensive-analysis/445342/
9. Selvaraj S, Padmanabhan S. Remote patient monitoring system using Internet of Things. ICIOT 2018.
10. Rajan Vanjani, "Applying Quantum Computing and AI in Healthcare and Financial Services,” Apexon Digital, 2023. [Online]. Available: https://www.apexon.com/blog/applying-quantum-computing-and-ai-in-healthcare-and-financial-services/
11. Sahalu Balarabe Junaid, "Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey," Volume 10, Issue 10, 2022. [Online]. Available: https://www.mdpi.com/2227-9032/10/10/1940
