The Role of Automation in Modern Healthcare: Innovations and Impact.

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Year : 2024 | Volume :02 | Issue : 02 | Page : 21-30
    By

    Shashank Agnihotri,

  • Mohit Kumar,

  • Ketan Anand,

  1. Assistant Professor,, Department of Electronics & Communication Engineering, AXIS Institute of Technology and Management, Kanpur,, Uttar Pradesh, India.
  2. Student, Department of Electronics & Communication Engineering, AXIS Institute of Technology and Management, Kanpur,, Uttar Pradesh, India.
  3. Assistant Professor, Department of Electronics & Communication Engineering, AXIS Institute of Technology and Management, Kanpur,, Uttar Pradesh, India.

Abstract

Automation technology encompasses a broad array of systems and tools designed to perform tasks with minimal human intervention, thereby increasing efficiency, reducing er- roars, and enhancing productivity. This paper explores the core components of automation technology, including sensors, actuators, controllers, and software, and examines their applications across various industries. In manufacturing, automation leads to significant improvements in production speed and precision. In healthcare, it enhances patient care and operational efficiency. In transportation, automation reduces traffic congestion and improves safety through autonomous vehicles and intelligent traffic management systems. Home automation improves energy efficiency and provides enhanced security and convenience. De- spite the numerous benefits, automation technology also presents challenges such as high initial costs, integration complexity, and potential job displacement. Future trends, driven by ad- ancients in artificial intelligence, machine learning, and the Internet of Things, promise to further revolutionize automation technology, making systems more intelligent and adaptable. This paper highlights the transformative impact of automation on diverse sectors and underscores the importance of addressing its challenges to maximize its benefits.

Keywords: Automation, Actuator, Sensors, ITS, CCD RTD.

[This article belongs to International Journal of Electrical and Communication Engineering Technology (ijecet)]

How to cite this article:
Shashank Agnihotri, Mohit Kumar, Ketan Anand. The Role of Automation in Modern Healthcare: Innovations and Impact.. International Journal of Electrical and Communication Engineering Technology. 2024; 02(02):21-30.
How to cite this URL:
Shashank Agnihotri, Mohit Kumar, Ketan Anand. The Role of Automation in Modern Healthcare: Innovations and Impact.. International Journal of Electrical and Communication Engineering Technology. 2024; 02(02):21-30. Available from: https://journals.stmjournals.com/ijecet/article=2024/view=185175


References

[1] M. P. Groover, Automation, Production Systems, and Computer-Integrated Manufacturing, 3rd ed. Upper Saddle River, NJ, USA: Pearson, 2007. [2] R. Bogue,” Robots in the nuclear industry: a review of technologies and applications,” Industrial Robot: An International Journal. 2011; 38(2): 113-118. https://doi.org/10.1108/01439911111106327 [3] Mehrabi, M.G., Ulsoy, A.G. & Koren, Y. Reconfigurable manufacturing systems: Key to future manufacturing. Journal of Intelligent Manufacturing 11, 403–419 (2000). https://doi.org/10.1023/A:1008930403506 [4] I. Gibson, D. W. Rosen, and B. Stucker, Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing, 2nd ed. New York, NY, USA: Springer, 2014. [5] B. L. Davies, “A review of robotics in surgery,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 2000; 214(1): 129- 140. [6] S. Paparella. “Medication errors: A guide for healthcare facilities,” Journal of Infusion Nursing. 2013; 36(1): 20- 26. [7] D. Clifton, D. A. Clifton, P. J. Watkinson, and L. Tarassenko, “Automated analysis and interpretation of vital signs in critical care,” in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 2013, pp. 1579-1582. [8] S. Thrun et al.,” Stanley: The robot that won the DARPA Grand Challenge,” Journal of Field Robotics, vol. 23, no. 9, pp. 661-692, 2006. [9] E. I. Vlahogianni, M. G. Karlaftis, and J. C. Golias,” Short-term traffic forecasting: Where we are and where we’re going,” Transportation Research Part C: Emerging Technolo- gies, vol. 43, pp. 3-19, 2005. [10] D. Floreano and R. J. Wood,” Science, technology and the future of small autonomous drones,” Nature, vol. 521, pp. 460-466, 2015. [11] M. Alam, M. B. I. Reaz, and M. A. M. Ali,” A review of smart homes—Past, present, and future,” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 42, no. 6, pp. 1190-1203, 2012. [12] R. Yang, L. Wang, and R. Zhang,” Review of smart grid and its applications,” in Proceedings of the 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), Weihai, China, 2013, pp. 308-313. [13] M. E. Pollack,” Intelligent technology for an aging population: The use of AI to assist elders with cognitive impairment,” AI Magazine, vol. 26, no. 2, pp. 9-24, 2005. [14] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 3rd ed. Upper Saddle River, NJ, USA: Pearson, 2010. [15] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami,” Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645-1660, 2013. [16] I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. Cambridge, MA, USA: MIT Press, 2016.


Regular Issue Subscription Review Article
Volume 02
Issue 02
Received 08/08/2024
Accepted 21/08/2024
Published 23/11/2024