Autonomous Robots for Hospital Logistics and Patient Care: An Effective Way for Elderly Care and Monitoring

Dasari Vishnu Yadav*, P. V. Dinesh**, M. L. Krian***
*-*** Department of Electronics and Communication Engineering, Chaitanya Bharathi Institute of Technology, Andhra Pradesh, India.
Periodicity:January - June'2024
DOI : https://doi.org/10.26634/javr.2.1.21128

Abstract

Integrating robotics can revolutionize patient care, hospital logistics, and clinical diagnostics in the evolving healthcare landscape. This paper explores the development and deployment of a comprehensive robotic system capable of performing multiple critical tasks within a healthcare setting. The proposed system integrates autonomous robots for logistics, patient care, and elderly monitoring, along with AI-driven capabilities for automated diagnostic tasks. The objective is to enhance operational efficiency, improve patient outcomes, and alleviate the burden on healthcare professionals. By leveraging advanced robotics and artificial intelligence, this paper aims to create a seamless, adaptable system that can operate in various hospital environments. The study will evaluate the system's performance, safety, and impact on healthcare delivery. Through this integration, the paper envisions a future where healthcare systems are more responsive, efficient, and capable of meeting the demands of modern medical care.

Keywords

Autonomous Robots, Hospital Logistics, Patient Care, Elderly Monitoring, AI- Driven Diagnostics, Healthcare Robotics, Clinical Automation, Artificial Intelligence.

How to Cite this Article?

Yadav, D. V., Dinesh, P. V., and Krian, M. L. (2024). Autonomous Robots for Hospital Logistics and Patient Care: An Effective Way for Elderly Care and Monitoring. i-manager's Journal on Augmented & Virtual Reality, 2(1), 8-14. https://doi.org/10.26634/javr.2.1.21128

References

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[9]. Thamrongaphichartkul, K., Worrasittichai, N., Prayongrak, T., & Vongbunyong, S. (2020, November). A framework of IoT platform for autonomous mobile robot in hospital logistics applications. In 2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) (pp. 1-6). IEEE.
[10]. Aydınocak, E. U. (2023). Robotics Systems and Healthcare Logistics. In Health 4.0 and Medical Supply Chain (pp. 79-96). Singapore: Springer Nature Singapore.
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