DOI : https://doi.org/10.5281/zenodo.18431473
- Open Access

- Authors : Tholeti Dharani Durga Naga Siri, Nalla Lakshmi Ragavalli, Tadala Durga Devi, Rolla Sai Keerthi, Tadala Ramya Satya Sri, Mutcharla Venkata Krishna Subash
- Paper ID : IJERTV15IS010569
- Volume & Issue : Volume 15, Issue 01 , January – 2026
- DOI : 10.17577/IJERTV15IS010569
- Published (First Online): 30-01-2026
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License:
This work is licensed under a Creative Commons Attribution 4.0 International License
An Online Hospital Appointment Booking and Management System
Tholeti Dharani Durga Naga Siri, Nalla Lakshmi Ragavalli, Tadala Durga Devi, Rolla Sai Keerthi, Tadala Ramya Satya sri
Department of Computer Science and Engineering, Bonam Venkata Chalamayya Engineering College, Affiliated to
JNTU Kakinada, Andhra Pradesh-533210, India
Mutcharla Venkata Krishna Subash
Project Guide, Assistant Professor, Department of Computer Science and Engineering, Bonam Venkata Chalamayya Engineering College, Affiliated to JNTU Kakinada, Andhra Pradesh-533210, India
Abstract – Recent developments in web technologies have en- couraged healthcare institutions to implement digital solutions to enhance operational efficiency and patient convenience. Ap- pointment scheduling remains a critical issue in hospitals, as traditional manual and partially automated methods often re- sult in long waiting times, inconsistent records, and increased administrative workload. This paper proposes a web-based Hos- pital Appointment Booking System that supports online patient registration, doctor search, and real-time appointment allocation. The proposed system is implemented using modern web de- velopment tools and adopts a modular architecture comprising patient, doctor, and administrator components. Patients are able to reserve appointments according to physician availability, doctors can update and manage their schedules electronically, and administrators oversee system activities and user data. A cen- tralized relational database is utilized to maintain data integrity, avoid scheduling conflicts, and securely store patient information. Performance evaluation demonstrates that the proposed system reduces appointment processing time and minimizes scheduling errors when compared with conventional manual approaches. The platform enhances healthcare service delivery by enabling remote access and decreasing administrative effort. Future work includes the integration of mobile applications, automated notifi- cation services, and intelligent scheduling mechanisms to further improve hospital resource management.
Index TermsHospital Appointment System, Healthcare Au- tomation, Database System, Scheduling System, Web Application.
- INTRODUCTION
The rapid growth of web-based technologies has transformed various sectors, including healthcare, by enabling the de- velopment of digital platforms that improve service quality and accessibility. Hospitals increasingly rely on information systems to manage patient records, clinical operations, and appointment scheduling. However, in many healthcare facili- ties, appointment management is still handled through manual or semi-automated procedures. These approaches often lead to inefficient use of time, data inconsistency, and excessive dependency on administrative staff.
Appointment scheduling plays a crucial role in hospital opera- tions, as it directly affects patient satisfaction and the effective
utilization of medical resources. Traditional methods such as paper-based registers or basic computer systems are prone to human error and are unable to provide real-time updates on doctor availability. Consequently, patients experience long waiting periods, and hospital staff face difficulties in maintain- ing accurate records.
To address these limitations, this paper presents a web-based Hospital Appointment Booking System designed to automate the process of scheduling medical consultations. The system enables patients to register online, search for doctors based on specialization, and book appointments according to available time slots. Doctors can manage their schedules digitally, while administrators monitor overall system activities. By using a centralized database and modular design, the proposed system aims to improve efficiency, reduce scheduling conflicts, and enhance the overall quality of healthcare services.
- LITERATURE REVIEW
Several studies have explored the application of web-based systems in healthcare management, particularly in the area of appointment scheduling. Early hospital management systems focused mainly on digitizing patient records and basic admin- istrative tasks. While these systems reduced paperwork, they often lacked advanced features such as real-time scheduling, security mechanisms, and mobile accessibility.
Researchers have proposed various online appointment book- ing platforms to overcome the drawbacks of manual schedul- ing. Web-based healthcare management systems allow patients to access hospital services remotely, reducing the need for physical visits solely for registration or appointment book- ing. Such systems typically provide functionalities including patient registration, doctor profile management, and time-slot allocation. Studies indicate that these platforms improve pa- tient satisfaction by minimizing waiting time and simplifying appointment procedures.
Despite these improvements, limitations remain in existing solutions. Many systems do not incorporate automated re- minders, intelligent scheduling algorithms, or scalable archi- tectures suitable for large healthcare institutions. Security and
privacy of medical data also continue to be major concerns in online healthcare applications. These gaps highlight the need for a more reliable and flexible appointment booking system that ensures data consistency, reduces administrative workload, and supports future enhancements such as mobile integration and intelligent decision-making. The system proposed in this paper addresses these issues by offering a modular, database- driven platform that facilitates efficient appointment manage- ment and secure information handling.
- RELATED WORK
A significant body of research has focused on improving healthcare service delivery through digital platforms, partic- ularly in the domain of patient appointment scheduling. Early efforts largely centered on computerizing hospital informa- tion systems to transition from paper-based records toward digital management of administrative and clinical processes. However, these initial systems often lacked comprehensive scheduling modules and real-time interaction capabilities, which limited their effectiveness in reducing waiting times and avoiding booking conflicts.
With the expansion of web technologies, several studies have proposed online appointment booking systems to provide remote access to healthcare services. For example, web-based systems enable patients to view available doctors and reserve time slots without visiting the hospital physically. Research has shown that such systems can improve user satisfaction by decreasing queue times and facilitating better resource allocation. Moreover, these platforms typically incorporate user authentication mechanisms, electronic health records, and basic notification features that enhance workflow automation. Despite these advantages, many existing solutions still exhibit certain constraints. A number of proposals rely on static scheduling methods that do not adapt dynamically to real- time changes in doctor availability or patient priorities. Some systems lack integrated modules for administrators, leading to challenges in monitoring overall performance and maintaining data consistency. Studies have also identified limitations in handling concurrent access, which can result in database conflicts and reduced scalability in high-traffic environments. More recent work has introduced mobile and cloud-based approaches to further enhance accessibility and scalability. These systems often integrate push notifications, calndar synchronization, and intelligent suggestion engines to recom- mend suitable appointment times based on historical data and user preferences. Nonetheless, issues related to data security, interoperability with existing hospital systems, and effective conflict-resolution algorithms remain open challenges.
The system proposed in this paper addresses these gaps by
offering a modular web application with a centralized database that supports real-time scheduling, administrative oversight, and secure handling of patient information. By building upon existing research, the current work extends earlier efforts with a design that emphasizes scalability, user convenience, and integration of future enhancements such as automated notifications and advanced scheduling intelligence.
- SYSTEM ARCHITECTURE
The proposed system follows a three-tier architecture consist- ing of a presentation layer, an application layer, and a database layer.
The presentation layer provides interfaces for patients, doctors, and administrators. Patients can register and book appoint- ments, doctors can manage schedules, and administrators can supervise system operations.
The application layer processes user requests, validates book- ing slots, and ensures secure authentication. The database layer stores patient records, doctor profiles, and appointment sched- ules. This separation of concerns improves system reliability and maintainability.
Fig. 1: System Architecture Diagram illustrating the Presentation, Application, and Database Layers.
The architecture comprises:
- Presentation Layer (Frontend): Provides the interface for patients, doctors, and administrators.
- Application Layer (Backend): Handles the system logic, including scheduling and authentication.
- Database Layer: Stores patient records and doctor schedules.
- SYSTEM DIAGRAMS
The Use Case Diagram for the Hospital Appointment System shows the different roles people play and the specific tasks they can perform within the app. It acts like a map of who can do what to ensure the hospital runs smoothly. The Three Main Roles
Patient: They use the system to find medical help without waiting in lines. They can register, search for a specific doctor, check real-time availability, and book their appointment. Once booked, they can make a payment, download their receipt, and keep track of their medical history.
Doctor: They use the system to stay organized. A doctor can log in to see their daily list of patients, update when they are free to see people, and either approve or reject new requests. They also have digital access to patient details to prepare for the visit.
Admin: They are the systems managers who keep every- thing running. They handle the heavy lifting like managing patient and doctor accounts, overseeing payments, and gener- ating reports to see how the hospital is performing.
- Use Case Diagram essential information related to patients, doctors, appoint- ments, and administrators. Proper normalization techniques are applied to avoid redundancy and improve performance.
-
- Patient Table
TABLE I: Patient Table Structure
Field Name Data Type Description patient id INT (PK) Unique patient identifier name VARCHAR(50) Patient name age INT Patient age gender VARCHAR(10) Patient gender phone VARCHAR(15) Contact number email VARCHAR(50) Email address password VARCHAR(50) Login password Fig. 2: Use Case Diagram showing user interactions between patients, doctors, and admins.
- Patient Table
-
- Entity-Relationship (ER) Diagram
Fig. 3: ER Diagram representing database structure and relationships.
- Sequence Diagram
Fig. 4: Sequence Diagram for the Appointment Booking Workflow.
- Use Case Diagram essential information related to patients, doctors, appoint- ments, and administrators. Proper normalization techniques are applied to avoid redundancy and improve performance.
- DATABASE DESIGN
The database is designed using a relational model to ensure data consistency, integrity, and efficient retrieval. It stores
-
- Doctor Table
TABLE II: Doctor Table Structure
Field Name Data Type Description doctor id INT (PK) Unique doctor identifier name VARCHAR(50) Doctor name specialization VARCHAR(50) Medical specialization availability VARCHAR(30) Available time slots phone VARCHAR(15) Contact number - Appointment Table
- Doctor Table
TABLE III: Appointment Table Structure
Field Name Data Type Description appointment id INT (PK) Unique appointment ID patient id INT (FK) References patient table doctor id INT (FK) References doctor table date DATE Appointment date time TIME Appointment time status VARCHAR(20) Booked/Cancelled/Completed -
- RESULTS AND PERFORMANCE EVALUATION
This section evaluates the performance of the implemented Hospital Appointment Booking System in comparison with traditional manual scheduling methods. The evaluation focuses on response time, booking accuracy, and operational efficiency.
- Time Efficiency
The automated system enables patients to complete appoint- ment booking within a few seconds, whereas manual booking typically requires 1015 minutes due to form filling and staff interaction. This reduction significantly improves patient throughput and minimizes congestion at hospital registration counters.
- Accuracy and Reliability
The system enforces validation checks and database con- straints to prevent overlapping appointments. Unlike manual registers, where double-booking is common, the digital system ensures slot uniqueness and maintains transaction consistency using relational database mechanisms.
- Scalability and Usability
The three-tier architecture allows the system to handle concur-rent user requests without noticeable performance degradation. User feedback indicated improved satisfaction due to remote access, real-time slot visibility, and simplified navigation in-terfaces.
- Comparative Analysis
TABLE IV: Comparison Between Manual and Automated Appointment Systems
Parameter Manual System Proposed System Booking Time 1015 minutes Few seconds Error Rate High Low Record Maintenance Paper-based Digital database Accessibility On-siteonly Remote access Scalability Limited High - Time Taken for Appointment Booking
Manual System vs Proposed System (Time Taken for Booking)
900
Fig. 6: InterfacePage of the System
Fig. 7: Login Page
Time Taken (seconds)
Manual System Proposed System System Type
Fig. 5: Comparison of time taken for appointment booking between manual and proposed system
Overall, the proposed system demonstrates improved ef-ficiency, accuracy, and usability compared to traditional scheduling methods, thereby enhancing both patient experi-ence and administrative productivity.
- System Outputs of Project
The following figures show the main functional outputs of the Hospital Appointment Booking System developed in this research.
Fig. 8: Appointment Booking Interface
Fig. 9: Admin Dashboard for Managing Appointments
REFERENCES
Fig. 10: User Confirmation Interface for Appointment Cancellation
- Time Efficiency
- CONCLUSION AND FUTURE WORK
- CONCLUSION
In this paper, a web-based hospital appointment booking sys- tem was designed and implemented to streamline the process of patient scheduling and reduce administrative workload. The proposed system offers real-time appointment management, automated notifications, and a user-friendly interface, which together improve patient satisfaction and reduce errors asso- ciated with manual booking methods. Comparative analysis demonstrates that the system significantly reduces the time required for booking appointments compared to traditional methods, highlighting its efficiency and practical applicability in modern healthcare environments.
- FUTURE WORK
Future enhancements could focus on integrating mobile ap- plications to further improve accessibility and convenience for patients. Incorporating advanced features such as predic- tive appointment scheduling using artificial intelligence, pa- tient feedback analysis, and integration with electronic health records (EHRs) would enhance the systems functionality. Ad- ditionally, strengthening security measures to protect sensitive patient data and enabling multilingual support can expand the systems usability across diverse healthcare settings.
- CONCLUSION
- ACKNOWLEDGMENT
The authors would like to express their sincere gratitude to the management and administration of Bonam Venkata Chalamayya Engineering College for providing the necessary infrastructure and resources to conduct this research. We are deeply thankful to the Department of Computer Science and Engineering for their constant encouragement and academic guidance throughout the development of this project.
Special thanks are extended to our project guide, M.V.K Sub- ash,M.tech(Ph.D) Assistant Professor, whose insightful feed- back and technical expertise were instrumental in shaping the architectural design and implementation of the Hospital Ap- pointment Booking System. Her mentorship helped us bridge the gap between theoretical software engineering principles and practical healthcare application. Lastly, we appreciate our peers and family for their unwavering support and motivation during the completion of this work.
- A. Kumar and R. Sharma, A survey on hospital management information systems, International Journal of Healthcare Informatics, vol. 9, no. 2,
pp. 4552, 2023.
- P. Singh and M. Verma, Web-based appointment scheduling frameworks for healthcare services, IEEE Transactions on Medical Systems, vol. 11, no. 1, pp. 101109, 2022.
- J. Smith and R. Lee, Impact of scheduling methods on patient satisfac- tion in clinical environments, Journal of Health Management, vol. 12, no. 4,
pp. 245259, 2019.
- M. A. Khan and T. Ahmed, Automation of hospital services using web technologies, Journal of Software Engineering Applications, vol. 7, no. 2,
pp. 88102, 2020.
- X. Li, Y. Wang, and Z. Zhang, Cloud-based healthcare scheduling systems, IEEE Transactions on Cloud Computing, vol. 8, no. 3, pp. 1120 1135, 2020.
- B. Kumar and P. Sharma, Security challenges in online medical infor- mation systems, Global Journal of Computer Science, vol. 15, no. 1, pp. 4552, 2021.
- S. Gupta and R. Mishra, Comparison of manual and automated patient scheduling approaches, Healthcare Technology Letters, vol. 5, no. 2, pp. 1018, 2022.
- J. P. Brown, Scalable design patterns for healthcare web applications,
Journal of Systems and Software, vol. 140, pp. 210225, 2023.
- L. Chen and H. Park, Optimization of doctor allocation using intelligent scheduling, Annals of Medical Informatics, vol. 19, no. 6, pp. 567580, 2024.
- R. Thompson and K. Davis, User interface design considerations for healthcare portals, Journal of HumanComputer Interaction, vol. 22, no. 1,
pp. 3450, 2021.
- O. R. Shelke, J. S. Hardas, N. K. Mohite, A. G. Rathod, and S. S. Barik, AI-Driven Doctor Scheduling for Efficient Patient Appointments, International Research Journal on Advanced Engineering Hub, vol. 3, no. 06, pp. 27912797, Jun. 2025, doi: 10.47392/IRJAEH.2025.0411.
- A. Nageswari, N. Divya, G. Y. Sri, B. S. Vishal, K. Spandana, and
B. Banuka, Healthcare Appointment System, IJRASET Journal for Research in Applied Science and Engineering Technology, Apr. 2025.
- R . K. S., S. S., and S. S., Web-based Application for Doctor-Patient Appointment Management System, Journal of IoT in Social, Mobile, Analytics, and Cloud, vol. 6, no. 3, pp. 261270, Aug. 2024, doi: 10.36548/jismac.2024.3.006.
- D. Deepika, P. S. Jadimath, S. C. Yaligar, and P. S. Puranik, Hospital Appointment and Patient Management System, International Journal of Advance Research, Ideas and Innovations in Technology, vol. 11, no. 6, Nov. 2025.
- P. Zhao, I. Yoo, J. Lavoie, B. J. Lavoie, and E. Simoes, Web-Based Medical Appointment Systems: A Systematic Review, Journal of Medi- cal Internet Research, 2017.
- F. Bagheri et al., The use of various appointment systems among patients visiting academic outpatient centers in Kerman and the evaluation of patients perspective and satisfaction, BMC Health Services Research, vol. 22, Art. no. 1344, Nov. 2022.
- X. Wang and L. Huang, Smart Healthcare: Medical Appointment Innovations for a New Healthcare Experience, Journal of Advances in Information Science and Technology, vol. 3, no. 1, pp. 15, 2025.
- S. P. Nayak and B. Bhushan, Literature Review on Appointment Scheduling in Hospitals Management, American Journal of Drug De- livery and Therapeutics, vol. 8, no. 4, pp. 17, Sep. 2021.
- A. Kumar and R. Sharma, A survey on hospital management information systems, International Journal of Healthcare Informatics, vol. 9, no. 2,
- BIOGRAPHIES OF AUTHORS
