Critical Bed Access Internship Report 2024-2025 PDF
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Uploaded by DurableEmerald
Rama Devi Women's University
2024
Bhagyashree Senapati
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Summary
This internship report details the Critical Bed Access System, a platform designed for efficient ICU bed allocation in hospitals. It emphasizes real-time data, user-friendly interfaces, and centralized databases for improved resource management. The report focuses on design and implementation of this system.
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INTERNSHIP PROJECT REPORT ON “CRITICAL BED ACCESS” SUBMITTED IN PARTIAL FULFILLMENT FOR AWARD OF DEGREE IN DEPARTMENT OF COMPUTER SCIENCE BATCH 2024-2025 BY BHAGYASHRE...
INTERNSHIP PROJECT REPORT ON “CRITICAL BED ACCESS” SUBMITTED IN PARTIAL FULFILLMENT FOR AWARD OF DEGREE IN DEPARTMENT OF COMPUTER SCIENCE BATCH 2024-2025 BY BHAGYASHREE SENAPATI UNIVERSITY ROLL NO: 155R0023004 REGD NO: PGR00-0465/2023 DEPARTMENT OF COMPUTER SCIENCE RAMADEVI WOMEN’S UNIVERSITY BHUBANESWAR, ODISHA JANUARY-2024 ABSTRACT The Critical Bed Access System addresses the real-world challenge of booking hospital ICU beds. It provides an efficient solution through a user-friendly interface and an integrated database. This system manages and stores data related to hospital ICU beds and their allocation to patients. The system includes hospital data, such as hospital basic details and the number of available ICU beds, displayed to patients during the booking process. Patients can select and reserve ICU beds, with the database automatically updated using triggers to ensure real-time accuracy. Additionally, the system enables administrators and government officials to monitor the total number of available beds, track admitted patients and their priorities, and develop strategies to mitigate fatalities caused by ICU bed shortages during regular times, pandemics like COVID-19, or emergencies such as accidents. Keywords: User Interface, Database, Real-time Updates, Data Management, ICU Bed Allocation TABLE OF CONTENTS CHAPTER 1 INTRODUCTION PAGE - 1 CHAPTER 2 PROBLEM STATEMENTS PAGE - 2 CHAPTER 3 HARDWARE & SOFTWARE PAGE - 3 REQUIREMENTS CHAPTER 4 DESIGN PAGE - 4 CHAPTER 5 IMPLEMENTATION PAGE - 7 CHAPTER 6 FUTURE WORK PAGE - 8 CHAPTER 7 CONCLUSION & PAGE - 9 BIBLIOGRAPHY Chapter 1: 1.1 INTRODUCTION The ICU Bed Booking System is designed to enable patients to book ICU beds in hospitals online. It provides an efficient platform where patients can register, view available hospitals, check bed availability, and make reservations seamlessly. 1.2 PURPOSE The purpose of this project is to provide a friendly environment to maintain the details of patients and hospital. The main purpose of this project is to show the availability of beds to public sector to overcome the pandemic or emergency situations. This is an attempt to stop people from jumping queue and bringing transparency to in ICU bed allocation system. Easy accessibility for hospital management as data is available as a point source, so the decision can be made faster and effective in admission of ICU patients. 1.3 SCOPE The document only covers the requirements specifications for the ICU Bed Booking System. This document does not provide any references to the other component of the ICU Bed Booking System. All the external interfaces and the dependencies are also identified in this document. The overall scope of the feasibility study is to provide sufficient information to allow a decision to be made as to whether the ICU Bed Booking project should proceed and if so, its relative priority in the context of other existing ICU Bed Booking Technology. Chapter 2: 2.1 PROBLEM STATEMENT: The increasing demand for ICU beds in hospitals, especially during critical times such as pandemics, natural disasters, or emergencies like accidents, has exposed significant gaps in the current bed allocation systems. These shortcomings often lead to inefficiencies, lack of transparency, and delays in ICU admissions, ultimately resulting in loss of lives. Traditional methods of ICU bed management are manual and fragmented, making it difficult for patients, hospital administrators, and government agencies to access real-time data. Patients are often left in distress, unable to identify hospitals with available ICU beds, leading to confusion, overcrowding, and potential inequity in allocation. Moreover, the absence of a centralized system hinders effective monitoring and resource optimization, especially in scenarios where demand for beds exceeds supply. Additionally, the lack of transparency in the allocation process creates opportunities for favoritism and queue jumping, further exacerbating the issue. Hospital management also faces challenges in decision- making due to the unavailability of centralized data, resulting in delays and inefficiencies during critical situations. The Critical Bed Access System aims to address these challenges by providing a real-time, user-friendly platform for ICU bed booking and management. By integrating a centralized database, an intuitive user interface, and automated updates, this system ensures transparency, accessibility, and efficiency in ICU bed allocation. It empowers patients to make informed decisions, enables hospital administrators to manage resources effectively, and allows government agencies to monitor and optimize healthcare infrastructure, ultimately reducing fatalities due to non-availability of ICU beds. Chapter 3: 3.1 HARDWARE & SOFTWARE REQUIREMENTS: HARDWARE REQUIREMENTS Processor – Intel Core 2 Duo or better Processor Speed - 1 GHz or above Hard Disk – 20 GB (approx.) RAM – 02GB or above Storage Space - Approx. 200MB SOFTWARE REQUIRMENTS Technology Implemented: Apache Server, MySQL Server Language Used: Python Database: My SQL User Interface Design: HTML, CSS, Bootstrap. Web Browser: Google Chrome, Firefox Software: XAMPP Version: 7.1.10 Chapter 4: 4.1 DESIGN: Data Flow Diagram DFD LEVEL-0 DFD LEVEL-1 DFD LEVEL-2 (ADMIN) DFD LEVEL-2 (PATIENT) DFD LEVEL-2 (HOSPITAL) E-R DIAGRAM Chapter 5: 5.1 IMPLEMENTATION: The Implementation phase of the Critical Bed Access System focuses on building and integrating the components required to deliver a functional, reliable, and user-friendly platform for ICU bed booking and management. The process begins with the database development, where a centralized database is designed to store and manage hospital details, ICU bed availability, patient information, and booking records. The database leverages triggers to ensure real-time updates when beds are booked or released, maintaining accurate data across the system. The backend development involves creating the core logic that handles user interactions, processes booking requests, and updates the database. This backend is implemented using a robust programming language like Java or Python, ensuring seamless communication between the user interface and the database. APIs may also be integrated to facilitate real-time data sharing between hospitals and the system. For the frontend development, a user-friendly interface is designed to cater to the needs of patients, hospital administrators, and government officials. The interface allows users to register, search for hospitals, view bed availability, and book ICU beds. Administrators can monitor and manage hospital data, while government officials can track resource utilization and make informed decisions. The next step is integration, where the frontend, backend, and database are connected to enable smooth operation and data flow. This ensures that users experience seamless functionality when interacting with the system. After development, testing is conducted to verify that the system works as intended. This includes unit testing for individual components, integration testing for combined functionality, and system testing for overall performance. Identified bugs are resolved to ensure a reliable application. Finally, the system is deployed on a secure platform, making it accessible to users. Role- based access controls are implemented to secure sensitive data and restrict access based on user roles, such as patients, administrators, and government officials. Post-deployment, the system is monitored for performance, and provisions are made for maintenance and updates. This includes fixing potential issues, enhancing system functionality, and scaling the platform to accommodate future requirements. The implementation ensures that the Critical Bed Access System is efficient, secure, and capable of addressing the critical challenges of ICU bed allocation, improving healthcare accessibility and outcomes. Chapter 6: FUTURE SCOPE: Enhanced Hospital Suggestions o Integrate location-based services to suggest the nearest hospitals to patients, minimizing travel time during emergencies. o Use advanced algorithms to recommend hospitals based on factors such as bed availability, patient condition, and hospital reputation. Ventilator and Equipment Tracking o Include real-time tracking of ventilator availability and other critical medical equipment to further streamline resource allocation. AI-Powered Features o Introduce AI algorithms to predict ICU bed demand during peak times, such as pandemics, and optimize resource allocation. o Use AI-driven analytics to provide insights to hospital administrators and government agencies for better decision- making. Mobile Application o Develop a mobile app for greater accessibility, enabling patients and administrators to access the system on the go. Advanced Reporting and Analytics o Include detailed reporting dashboards for hospital administrators and government officials to monitor trends, identify bottlenecks, and improve healthcare planning. Chapter 7: CONCLUSION & BIBLIOGRAPHY: The Critical Bed Access System represents a significant advancement over traditional manual processes, which are labor-intensive and prone to delays. By leveraging computerization, the system streamlines operations, accelerates the ICU bed allocation process, and enhances overall efficiency. Thorough testing with sample data has demonstrated the system's reliability and capability to handle real-world scenarios effectively. It provides a robust solution for managing ICU bed availability, ensuring transparency, and improving accessibility, making it a dependable tool for both patients and healthcare administrators. REFERENCES: 1. Nrip, Nripesh Kumar, et al. "Real-Time Hospital Bed Information System During Pandemic Situation." 2023 International Conference on Computational Intelligence for Information, Security and Communication Applications (CIISCA). IEEE, 2023. 2. Long, Elisa F., and Kusum S. Mathews. "The boarding patient: effects of ICU and hospital occupancy surges on patient flow." Production and operations management 27.12 (2018): 2122-2143. 3. Thomas, Kathleen AS, et al. "Developing an innovative system of open and flexible, patient-family-centered, virtual visiting in ICU during the COVID-19 pandemic: a collaboration of staff, patients, families, and technology companies." Journal of Intensive Care Medicine 36.10 (2021): 1130-1140. 4. Wallace, David J., et al. "Critical care bed growth in the United States. A comparison of regional and national trends." American journal of respiratory and critical care medicine 191.4 (2015): 410-416. 5. Cooke, Marie, et al. "The effect of music on discomfort experienced by intensive care unit patients during turning: a randomized cross‐over study." International journal of nursing practice 16.2 (2010): 125-131.