Abstract
Scope: The healthcare sector is increasingly reliant on digital appointment-scheduling platforms to overcome inefficiencies of manual/phone-based booking (e.g., long waiting times, poor resource utilisation). This paper focuses on digital appointment systems specifically built using the MERN stack (MongoDB, Express.js, React.js, Node.js) architecture. Methodology: A systematic review of published works from 2020?2025 that implement or analyse MERN (or closely related full-stack JavaScript) solutions for doctor/health-provider appointment scheduling. Findings: The MERN stack offers benefits such as single-language full-stack development (JavaScript/TypeScript) and rapid front-end/back-end integration. However, critical challenges emerge: NoSQL databases like MongoDB may complicate relational modelling (doctor-patient-appointment links); authentication/authorization practices vary widely; and scalability/security issues (e.g., regulatory compliance, data integrity) are often under-analysed. Conclusion: This review identifies key gaps in existing MERN-based appointment-systems research?particularly around data integrity, security/compliance, and standard healthcare-data interoperability?and proposes future research avenues (e.g., integration with FHIR, microservices/serverless, stronger access control).
Citations
IRE Journals:
Saloni Patil, Shruti Rohidas Ransing, Shilpa Sanjay Vantalkar, Purvii Sanjay Dhaybar "Doctor Appointment Booking System Using MERN Stack: A Systematic Review and Analysis" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1628-1632 https://doi.org/10.64388/IREV9I5-1712066
IEEE:
Saloni Patil, Shruti Rohidas Ransing, Shilpa Sanjay Vantalkar, Purvii Sanjay Dhaybar
"Doctor Appointment Booking System Using MERN Stack: A Systematic Review and Analysis" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712066
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