IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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INTELLIGENT HEALTHCARE MANAGEMENT SYSTEM POWERED BY AI PATIENT AND APPOINTMENT HANDLING

AUTHORS:
Lakshay
Mentor
Prateek Mathur
Affiliation
B.Tech (Information Technology) NIET, Greater Noida
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Traditional health care systems suffer from poor management of patient records, long waiting times and lack of intelligent decision-making support. This research suggests an AI based healthcare management system to optimize hospital operations and improve patient experience. The system is built with React.js on the frontend, Node.js for backend services, and MySQL for secure data storage, providing reliable and scalable performance. Main innovations of the proposed system include the implementation of Artificial Intelligence algorithms to help with appointment scheduling, patient prioritization, and basic symptom analysis. This helps to reduce the manual workload and improve the decision-making efficiency for the healthcare providers. It also allows the booking of appointments in real time, the tracking of doctors’ availability and the sending of automated notifications to patients.

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Lakshay, (2026). Intelligent Healthcare Management System Powered by AI Patient and Appointment Handling. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.135

Lakshay, . "Intelligent Healthcare Management System Powered by AI Patient and Appointment Handling." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.135.

Lakshay, . "Intelligent Healthcare Management System Powered by AI Patient and Appointment Handling." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.135.

References
1.Krishnan, S. Anandan, “Design and Implementation of a Smart Healthcare Management System Using Web Technologies”, International Journal of Engineering Research & Technology (IJERT), Vol. 10, Issue 6, June 2021.

2.Kaur, P. Singh, “AI-Based Healthcare Management System for Patient Monitoring and Appointment Scheduling”, International Journal of Advanced Research in Computer Science, 2022.

3.Shinde, A. Patil, “A Review on Hospital Management Systems Using Web Technologies”, International Research Journal of Engineering and Technology (IRJET), Vol. 7, Issue 5, May 2020.

4.Chen, Y. Hao, “Artificial Intelligence in Healthcare, Present and Future”, IEEE Access, 2019.

5.Kumar, R. Gupta, “Smart Healthcare System Using IoT and Machine Learning Techniques”, Journal of Healthcare Engineering, 2021.

6.Rajkumar, E. Oren, K. Chen, “Scalable and Accurate Deep Learning for Electronic Health Records”, npj Digital Medicine, 2018.

7.Grover, A. Kar, “Big Data Analytics for Healthcare Applications: A Review”, Journal of Big Data, 2020.

8.World Health Organization (WHO), “Digital Health and Innovation in Healthcare Systems”, 2022
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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