IoT-Driven Smart Hospitals- Advancements, Applications, and Challenges
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Keywords

IoT
smart hospitals
healthcare
advancements

How to Cite

[1]
Anna Schmidt, “IoT-Driven Smart Hospitals- Advancements, Applications, and Challenges”, Journal of Bioinformatics and Artificial Intelligence, vol. 4, no. 1, pp. 16–26, Apr. 2024, Accessed: Nov. 24, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/1

Abstract

The Internet of Things (IoT) has revolutionized various industries, including healthcare, by enabling the creation of smart hospitals. These hospitals leverage IoT technologies to improve patient care, streamline operations, and enhance overall efficiency. This research paper explores the advancements, applications, and challenges associated with implementing IoT technology in smart hospitals. The paper discusses the key components of IoT-driven smart hospitals, such as connected devices, data analytics, and interoperability. It also examines the various applications of IoT in healthcare, including remote patient monitoring, asset tracking, and real-time location services. Additionally, the paper addresses the challenges faced by smart hospitals, such as data security, interoperability issues, and regulatory compliance. By highlighting the benefits and challenges of IoT-driven smart hospitals, this research aims to provide insights into the future of healthcare technology and its impact on patient care.

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References

Pillai, Aravind Sasidharan. "Traffic Surveillance Systems through Advanced Detection, Tracking, and Classification Technique." International Journal of Sustainable Infrastructure for Cities and Societies 8.9 (2023): 11-23.

Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.

Venigandla, Kamala, et al. "Leveraging AI-Enhanced Robotic Process Automation for Retail Pricing Optimization: A Comprehensive Analysis." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 361-370.

Nalluri, Mounika, et al. "INTEGRATION OF AI, ML, AND IOT IN HEALTHCARE DATA FUSION: INTEGRATING DATA FROM VARIOUS SOURCES, INCLUDING IOT DEVICES AND ELECTRONIC HEALTH RECORDS, PROVIDES A MORE COMPREHENSIVE VIEW OF PATIENT HEALTH." Pakistan Heart Journal 57.1 (2024): 34-42.

Shiwlani, Ashish, et al. "REVOLUTIONIZING HEALTHCARE: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON PATIENT CARE, DIAGNOSIS, AND TREATMENT." JURIHUM: Jurnal Inovasi dan Humaniora 1.5 (2024): 779-790.

Raparthi, Mohan, Sarath Babu Dodda, and Srihari Maruthi. "AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health." European Economic Letters (EEL) 11.1 (2021).

Pargaonkar, Shravan. "Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering." Journal of Science & Technology 1.1 (2020): 67-81.

Pargaonkar, Shravan. "Quality and Metrics in Software Quality Engineering." Journal of Science & Technology 2.1 (2021): 62-69.

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