MedSmart AI: A Multi-Model Artificial Intelligence Framework for Hospital Operations Optimization, Clinical Decision Support, and Patient Safety Enhancement

  • Unique Paper ID: 196417
  • Volume: 12
  • Issue: 11
  • PageNo: 4005-4015
  • Abstract:
  • SmartCare HMS presents a comprehensive web-based Hospital Management System designed to streamline and digitize healthcare operations, addressing the limitations of traditional paper-based systems. The proposed system integrates multiple functional modules, including patient management, appointment scheduling, doctor administration, billing, and pharmacy services, into a unified platform. It utilizes modern web technologies such as HTML, CSS, JavaScript, and backend frameworks like Flask or Node.js, along with database systems such as MySQL or MongoDB for efficient data handling and storage. The system ensures real-time data access, secure record management, and reduced administrative workload. It minimizes human errors and enhances operational efficiency through automation of routine hospital processes. Additionally, the system supports role-based access control, enabling secure and organized interaction among administrators, doctors, and patients. Future enhancements may include OCR-based medical report digitization and basic analytics for patient flow and resource allocation. The implementation results demonstrate improved efficiency, faster processing, and better patient service delivery. SmartCare HMS serves as a scalable and user-friendly solution for modern healthcare institutions, contributing to enhanced decision-making and improved patient satisfaction.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{196417,
        author = {Dr. MK Jayanthi Kannan and Rajat Acharya and Sameer Nahadiya and Harsh Kushwaha and Bhoovesh Vyas and Aryan Kashyap},
        title = {MedSmart AI: A Multi-Model Artificial Intelligence Framework for Hospital Operations Optimization, Clinical Decision Support, and Patient Safety Enhancement},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4005-4015},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196417},
        abstract = {SmartCare HMS presents a comprehensive web-based Hospital Management System designed to streamline and digitize healthcare operations, addressing the limitations of traditional paper-based systems. The proposed system integrates multiple functional modules, including patient management, appointment scheduling, doctor administration, billing, and pharmacy services, into a unified platform. It utilizes modern web technologies such as HTML, CSS, JavaScript, and backend frameworks like Flask or Node.js, along with database systems such as MySQL or MongoDB for efficient data handling and storage. The system ensures real-time data access, secure record management, and reduced administrative workload. It minimizes human errors and enhances operational efficiency through automation of routine hospital processes. Additionally, the system supports role-based access control, enabling secure and organized interaction among administrators, doctors, and patients. Future enhancements may include OCR-based medical report digitization and basic analytics for patient flow and resource allocation. The implementation results demonstrate improved efficiency, faster processing, and better patient service delivery. SmartCare HMS serves as a scalable and user-friendly solution for modern healthcare institutions, contributing to enhanced decision-making and improved patient satisfaction.},
        keywords = {Hospital Management System, Web-Based Application, Healthcare Informatics, Patient Management, Appointment Scheduling, Electronic Health Records, Healthcare Automation},
        month = {April},
        }

Cite This Article

Kannan, D. M. J., & Acharya, R., & Nahadiya, S., & Kushwaha, H., & Vyas, B., & Kashyap, A. (2026). MedSmart AI: A Multi-Model Artificial Intelligence Framework for Hospital Operations Optimization, Clinical Decision Support, and Patient Safety Enhancement. International Journal of Innovative Research in Technology (IJIRT), 12(11), 4005–4015.

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