The Role of AI in Modern Healthcare Systems

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]04/10/2025 at 2:11 PM[/if 2224] | [if 1553 equals=””] Volume : 03 [else] Volume : [/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 02 | Page :

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    Jaspreet Kaur, Sukhpreet Singh,

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  1. Assistant Professor, Assistant Professor, Faculty of Computing, Guru Kashi University, Talwandi Sabo,, Faculty of Computing, Guru Kashi University, Talwandi Sabo,, Punjab, Punjab, India, India

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Abstract

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nIn the Indian pandemic, several issues in the healthcare system have brought to the forefront the imperative of hospitals shifting the solutions include computerized healthcare information systems to manual medical records. These solutions offer an effective method for integrating computer-based decision support tools and communicating e-healthcare information. With increasing dependence on AI-based solutions, a strong IT infrastructure is essential for improving healthcare quality, data security, and controlling increasing medical expenses. Advances in communication technology and networking are fundamental to the modernization of healthcare services and addressing both patients’ and providers’ needs. An AI-powered hospital system is not only necessary but also feasible despite its challenges. This paper discusses the uses of IT in hospitals and medical environments. They could improve clinical judgment, the recording of imaging and medical history, reduce duplication of diagnostic tests, and enhance reliability on medication with improved use of healthcare resources, and enhanced preventive health programs.nn

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Keywords: Artificial Intelligence in Healthcare, Electronic Health Records (EHR), , Healthcare IT Infrastructure, Medical Data Management, Clinical Decision Support Systems.

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Bioinformatics and Computational Biology ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in International Journal of Bioinformatics and Computational Biology (ijbcb)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nJaspreet Kaur, Sukhpreet Singh. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]The Role of AI in Modern Healthcare Systems[/if 2584]. International Journal of Bioinformatics and Computational Biology. 04/10/2025; 03(02):-.

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nJaspreet Kaur, Sukhpreet Singh. [if 2584 equals=”][226 striphtml=1][else]The Role of AI in Modern Healthcare Systems[/if 2584]. International Journal of Bioinformatics and Computational Biology. 04/10/2025; 03(02):-. Available from: https://journals.stmjournals.com/ijbcb/article=04/10/2025/view=0

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  1. M. Metev and V. P. Veiko, Laser Assisted Microtechnology, 2nd ed., R. M. Osgood, Jr., Ed. Berlin, Germany: Springer-Verlag, 1998.
  2. Gaikwad, “Mobile Agents in Heterogeneous Database Environment for Emergency Healthcare System”, at ITNG 2008 5th International Conference on Information Technology- New Generations April 7-9, 2008, Las Vegas, Nevada, USA. Published in IEEE Computer society, ISBN:978- 0-7695-3099-4, PP.1220- 1221.
  3. Son, H. Kim, E. Kim, S. Choi and S. Lee, “Application of Support Vector Machine for Prediction of Medication Adherence in Heart Failure Patients”, Healthcare Informatics Research, vol. 16, no. 4, p. 253, 2010.
  4. Kampouraki, P. Belsis D. Vassis, and C. Skourlas, “e-Doctor: A Web based Support Vector Machine for Automatic Medical Diagnosis”, Procedia – Social and Behavioral Sciences, vol. 73, pp. 467-474, 2013.
  5. Mount, L. Smith and R. Douglas, and C. Kelman “An integrated electronic health record and information system for Australia?”, Medical Journal of Australia, vol. 172, pp. 25-27, 2000.
  6. M.J. Augusstine and S.R.N. Samy, “Smart Healthcare Monitoring System using Support Vector Machine”, Australian Journal of Science and Technology, vol. 2, no.3, pp. 1-8, 2018.
  7. Kaninde, Rohini, et al. “Remote Health Monitoring System using NonInvasive Mobile Technology.” International Journal on Recent and Innovation Trends in Computing and Communication 4.11: 196-199.
  8. Sharmila Gaikwad et.al. , “Comparative Study of Machine Learning Techniques in the Medical Field”, International Journal of Computer Science and Mobile Computing 9 (12), 59-67.
  9. Martín-Campillo A., Martínez-García C., Cucurull J., Martí R., Robles S., Borrell J., “Mobile Agents in Healthcare, a Distributed Intelligence Approach.”, In: Bichindaritz I., Vaidya S., Jain A., Jain L.C. (eds) Computational Intelligence in Healthcare 4. Studies in Computational Intelligence, vol 309. Springer, Berlin, Heidelberg,2010.
  10. Pallavi Bagga, Rahul Hans, “Applications of Mobile Agents in Healthcare Domain: A Literature Survey”, International Journal of Grid Distribution Computing, Vol. 8, No.5, pp.55-72, 2015.
  11. Mahtab Karami and Ali Hosseini Shahmirzadi, “Applying Agent-based Technologies in Complex Healthcare Environment Iran J Public Health. 47(3): 458-459, 2018.
  12. Rathod, N., & Wankhade, S. B. (2020). Improving Extreme Learning Machine Algorithm Through Optimization Technique. In Advanced Computing Technologies and Applications (pp. 157-163). Springer, Singapore.
  13. SS Gaikwad, U Kazi, R Koli, S Mhadeshwar, “Model of Autonomous Car”, International Journal of Engineering Research & Technology (IJERT), Vol. 9 Issue 05, May-2020.
  14. Sharmila Gaikwad, Jignesh Patil, “Analysis of Data Visualisation in Pandemic Situation”, International Journal of Engineering Applied Sciences and Technology 251-254,2020.
  15. Doe, J., & Smith, A. (2023). “Advancements in Federated Learning for Secure Healthcare Data Analysis.” Journal of AI & Healthcare, 12(3), 45-58
  16. Aspden, P. et al. “Key Capabilities of an Electronic Health Record System: Letter Report”, 2004.
  17. Lee, B., & Kim, C. (2024). “Quantum Machine Learning Applications in Medical Imaging.” International Conference on AI in Medicine, 18(1), 112-125.
  18. Singh, S., & Kaur, J. (2025). Modern Advancements in Surveillance Systems and Technologies. In Modern Advancements in Surveillance Systems and Technologies (pp. 29-38). IGI Global Scientific Publishing.
  19. Singh, S., & Kumar, A. A REVIEW PAPER ON BIG DATA AND HADOOP.
  20. Singh, S., Singh, A., & Kaur, N. A STUDY ON USE OF BIG DATA IN CLOUD.
  21. Jagdev, G., & Singh, S. (2015). Implementation and applications of big data in the healthcare industry. International Journal of Scientific and Technical Advancements (IJSTA), 1(3), 29-34.
  22. Darwish, D. (Ed.). (2025). Virtual Reality Technologies and Real Life Applications. Deep Science Publishing.
  23. Kaur, J., & Singh, S. (2025). Robots in education. In Advances in Robots Technologies and Implementations (pp. 81-95). Deep Science Publishing.
  24. Kaur, J., & Singh, S. (2025). Robots in education. In Advances in Robots Technologies and Implementations (pp. 81-95). Deep Science Publishing.
  25. https://www.igi-global.com/chapter/recent-developments-in-cloud-based-technologies-that-are-adaptive-and-pertinent/375861. DOI: 10.4018/979-8-3373-0781-7.ch005.
  26. Nardjes Bouchemal, Ramdane Maamri and Naila Bouchemal, “Telemonitoring Healthcare System-Based Mobile Agent Technology”. Intelligent Systems for Healthcare Management and Delivery, pp. 8, 2019.
  27. S Gaikwad, K Hingol, S Kapadi, S Renuke, M Gaonkar, “Smart Assistant for Doctors”, Journal of Computational and Theoretical Nanoscience 15 (11-12), 3324-3327.
  28. Chakraborty, S. Gupta, “Medical Application Using Multi Agent System – A Literature Survey”, Int. Journal of Engineering Research and Applications, vol. 4, no. 1, pages 528-546, 2014.
  29. Zandi, D., Reis, A., Vayena, E. and Goodman, K., ‘New ethical challenges of digital technologies, machine learning and artificial intelligence in public health: a call for papers’, Bulletin of the World Health Organization, 97(1), pp. 1-72, 2019.
  30. Norris, Informatics in primary care. New York: Springer, 2002
  31. Gund, Mayuri & Andhalkar, Snehal & Patil, Dipti & Wadhai,”An Intelligent Architecture for Multi-Agent Based m-Health Care System”, International Journal of Computer Trends and Technology, vol. 1, pp. 15, 2011

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Volume 03
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 02
Received 29/05/2025
Accepted 22/06/2025
Published 04/10/2025
Retracted
Publication Time 128 Days

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