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An Online Hospital Appointment Booking and Management System

DOI : https://doi.org/10.5281/zenodo.18431473
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  • 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: Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License
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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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.
  5. 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.

    1. Use Case Diagram essential information related to patients, doctors, appoint- ments, and administrators. Proper normalization techniques are applied to avoid redundancy and improve performance.
        1. 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.

    2. Entity-Relationship (ER) Diagram

      Fig. 3: ER Diagram representing database structure and relationships.

    3. Sequence Diagram

      Fig. 4: Sequence Diagram for the Appointment Booking Workflow.

  6. DATABASE DESIGN

    The database is designed using a relational model to ensure data consistency, integrity, and efficient retrieval. It stores

      1. 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
      2. Appointment 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
  7. 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.

    1. 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.

    2. 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.

    3. 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.

    4. 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
    5. 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.

    6. 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

  8. CONCLUSION AND FUTURE WORK
    1. 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.

    2. 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.

  9. 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.

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  10. BIOGRAPHIES OF AUTHORS

Tholeti Dharani Durga Naga Siri is currently pursuing her Bachelor of Technology (B.Tech) in Computer Science and Engineering at Bonam Venkata Chalamayya Engineering College,(BVCEC) Odalarevu. Her academic interests include web tech- nologies, database management systems, and soft- ware development. She has actively participated in projects related to healthcare applications, focus- ing on designing efficient web-based solutions to improve service accessibility. Contact: 8688773286, Email: 22221a05b5@bvcgroup.in.

Mutchala Venkata Krishna Subash is an Assis- tant Professor,M.Tech(Ph.D) in the Department of CSE at Bonam Venkata Chalamayya Engineering College(BVCEC),Odalarevu.His research interests include software engineering, data management,and intelligent systems. He guided the development of the Hospital Appointment Booking System, ensur- ing both technical and academic rigor. Contact: 9959710505, Email: mvksubash.bvce@bvcgroup.in.

Nalla Lakshmi Ragavalli is currently pursuing her Bachelor of Technology (B.Tech) in Computer Science and Engineering at Bonam Venkata Cha- lamayya Engineering College(BVCEC),Odalarevu. Her areas of interest include web application de- velopment, cloud computing, and data manage- ment. She has contributed to project work in- volving hospital management systems and aims to develop technology-driven solutions for the healthcare sector. Contact: 9505683661, Email: 22221a0577@bvcgroup.in.

Tadala Durga Devi is currently pursuing her Bach- elor of Technology (B.Tech) in Computer Science and Engineering at Bonam Venkata Chalamayya En- gineering College(BVCEC),Odalarevu. Her techni- cal interests include software engineering, database systems, and user-centric design. She has worked on academic projects related to online healthcare platforms, focusing on improving system relia- bility through modern web technologies.Contact: 9063588689, Email: 22221a05b1@bvcgroup.in.

Rolla Sai Keerthi is currently pursuing her Bach- elor of Technology (B.Tech) in Computer Science and Engineering at Bonam Venkata Chalamayya Engineering College(BVCEC),Odalarevu. She is in- terested in web development, information systems, and application security. She has been involved in developing web-based applications for healthcare services as part of her academic curriculum. Contact: 8367574653,Email: 22221a0599@bvcgroup.in.

Tadala Ramya Satya Sri is currently pursuing her Bachelor of Technology (B.Tech) in Computer Science and Engineering at Bonam Venkata Cha- lamayya Engineering College,(BVCEC),Odalarevu. Her academic interests include full-stack develop- ment and system integration. She has participated in projects related to hospital appointment manage- ment and research into scalable web solutions for real-world problems.Contact: 7842345553, Email: 22221a05b2@bvcgroup.in.