Medi-Point: Multi Hospital Healthcare Collaboration and Appointment Management System
view PDF
view PDF

How to Cite

X., Amala Princeton, Ahash Micheal S., Anto Raja Jainson J., Gnana Raja Kishore J., and Madasamy S. 2026. “Medi-Point: Multi Hospital Healthcare Collaboration and Appointment Management System”. Journal of Information Technology and Digital World 8 (2): 128-39. https://doi.org/10.36548/jitdw.2026.2.005.

Keywords

Medical Appointment
Web-based Healthcare
Artificial Intelligence (AI)
Multi-Hospital System
Scheduling Optimization

Abstract

The digital revolution in the healthcare industry has emphasized the critical requirement of an efficient, cohesive, and intelligent hospital management system. Conventional appointment scheduling and patient record systems lack cohesive data management practices, experience delays, ineffective interdepartmental collaboration, and inefficiency in resource allocation. This paper proposes Medi-Point, which is a Multi-Hospital Healthcare Collaboration and Appointment Management System that aims to streamline healthcare operations by introducing an all-in-one platform. The proposed healthcare system will include the appointment scheduling, digital prescription generation, laboratory scheduling, billing management, and collaboration among various hospitals through an integrated and robust framework. Designed using Python Flask and MySQL, the system will adopt a three-tier architecture and Role-Based Access Control (RBAC). An Artificial Intelligence (AI) based hybrid chatbot will be integrated into the system to help analyze symptoms and provide recommendations to patients regarding the relevant departments. The system will offer real-time appointment availability checking, digital health record storage and management, and healthcare operations analysis. Experimentation and analysis will prove increased efficiency in appointment scheduling, decreased administrative overheads, optimized resource allocation, and increased accessibility to medical facilities.

References

  1. Srinivasa, Jyothsnya, and Shubhatara Swamy. “Analysis of Prescriptions for Completeness in a Tertiary Care Teaching Hospital.” International Journal of Basic & Clinical Pharmacology 2020, vol. 9, no. 12, 1849–1853.
  2. Babu, Ch Madhu, Nuthanakanti Bhaskar, Bondalakunta Bhavika, Amara Shivateja, Varun Annabeemoju, Swetha Chowdari, and Cholleti Manisharan. “CARE CONNECT: Revolutionizing Healthcare through AI.” In 2025 8th International Conference on Circuit, Power & Computing Technologies (ICCPCT), IEEE, 2025, 312–317.
  3. Charfare, Ruwayd Hussain, Aditya Uttam Desai, Nishad Nitin Keni, Aditya Suresh Nambiar, and Mimi Mariam Cherian. “IoT-AI in Healthcare: A Comprehensive Survey of Current Applications and Innovations.” International Journal of Robotics and Control Systems 2024, vol. 4, no. 3, 1446–1472.
  4. Qiao, Chew Jing, Lee Kim Keong, and Reshiwaran Jegatheswaran. “Online Hospital Registration and Appointment Management System (OHRAMS).” Journal of Applied Technology and Innovation 2023, vol. 7, no. 2.
  5. Valenzuela-Núñez, Catalina, Guillermo Latorre-Núñez, and Fredy Troncoso-Espinosa. “Smart Medical Appointment Scheduling: Optimization, Machine Learning, and Overbooking to Enhance Resource Utilization.” IEEE Access 2024, vol. 12, 7551–7562.
  6. Carreras-García, Danae, David Delgado-Gómez, Enrique Baca-García, and Antonio Artés-Rodriguez. “A Probabilistic Patient Scheduling Model with Time Variable Slots.” Computational and Mathematical Methods in Medicine 2020, no. 1: 9727096.
  7. Alizadeh, Reza, Javad Rezaeian, Mehdi Abedi, and Raymond Chiong. “A Modified Genetic Algorithm for Non-Emergency Outpatient Appointment Scheduling with Highly Demanded Medical Services Considering Patient Priorities.” Computers & Industrial Engineering 2020, vol. 139: 106106.
  8. Rossi, Michael C., and Hari Balasubramanian. “Panel Size, Office Visits, and Care Coordination Events: A New Workload Estimation Methodology Based on Patient Longitudinal Event Histories.” MDM Policy & Practice 2018, vol. 3, no. 2: 2381468318787188.
  9. Chen, Yan, Yong-Hong Kuo, Ping Fan, and Hari Balasubramanian. “Appointment Overbooking with Different Time Slot Structures.” Computers & Industrial Engineering 2018, vol. 124, 237–248.
  10. Delgado-Gómez, David, and Enrique Baca-García. “A Probabilistic Patient Scheduling Model for Reducing the Number of No-Shows.” Journal of the Operational Research Society 2020, vol. 71, 1102–1112.
  11. Kuo, Yong-Hong, Hari Balasubramanian, and Yan Chen. “Medical Appointment Overbooking and Optimal Scheduling: Tradeoffs between Schedule Efficiency and Accessibility to Service.” Flexible Services and Manufacturing Journal 2020, vol. 32, no. 1, 72–101.