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“BLOOD BANK MANAGEMENT SYSTEM”
A
PBL Report
Submitted to the
SAGE University, Bhopal, M.P.
in partial fulfillment of the requirements for the award of the Degree of
BTech CSE
I Semester
By
Nayan Sahu [BTE24CSE000163]
Aayush Kumar [BTE24CSE100005]
Rajat Singh [BTE24CSE000208]
Under the Guidance of
Ms. Nandani Sharma
Asst. Professor
SCHOOL OF ENGINEERING AND TECHNOLOGY
SANJEEV AGRAWAL GLOBAL EDUCATIONAL UNIVERSITY, BHOPAL
AUTUMN 2023-24
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“BLOOD BANK MANAGEMENT SYSTEM”

A PBL Report Submitted to the SAGE University, Bhopal, M.P. in partial fulfillment of the requirements for the award of the Degree of BTech CSE I Semester By Nayan Sahu [BTE24CSE000163] Aayush Kumar [BTE24CSE100005] Rajat Singh [BTE24CSE000208] Under the Guidance of Ms. Nandani Sharma Asst. Professor SCHOOL OF ENGINEERING AND TECHNOLOGY SANJEEV AGRAWAL GLOBAL EDUCATIONAL UNIVERSITY, BHOPAL AUTUMN 2023-

SANJEEV AGRAWAL GLOBAL EDUCATIONAL UNIVERSITY, BHOPAL AUTUMN 2023- SCHOOL OF ENGINEERING AND TECHNOLOGY CERTIFICATE This is to certify that the work embodies in this project entitled “System Blood MANAGEMENT Bank” being submitted by Nayan Sahu [BTE24CSE000163], Aayush Kumar [BTE24CSE100005] and Rajat Singh [BTE24CSE000208] in partial fulfillment of the requirement for the award of the degree of BTech CSE to School of Engineering and Technology, Sanjeev Agrawal Global Educational University, Bhopal (M.P) during the academic year 2023-24 is a record of bonafide piece of work, undertaken by him under the supervision of the undersigned. Ms. Nandani Sharma Dr. Mukesh Dixit Asst. Professor HOD, SOET (GUIDE)

SANJEEV AGRAWAL GLOBAL EDUCATIONAL UNIVERSITY, BHOPAL AUTUMN 2023- SCHOOL OF ENGINEERING AND TECHNOLOGY DECLARATION I hereby declare that the work, which is being presented in this project entitled “BLOOD BANK MANAGEMENT SYSTEM” for fulfillment of the requirements for the award of the degree of BTech CSE submitted in the School of Advanced Computing, Sanjeev Agrawal Global Educational University, Bhopal, M.P. is an authentic record of my own work carried under the guidance of “MS NANDANI SHARMA”. I have not submitted the matter embodied in this report for the award of any other degree. I also declare that “A check for Plagiarism has been carried out on this report and is found within the acceptable limit." Nayan Sahu [BTE24CSE000163] Rajat Singh [ BTE24CSE000208] Aayush Kumar [BTE24CSE100005]

SANJEEV AGRAWAL GLOBAL EDUCATIONAL UNIVERSITY, BHOPAL AUTUMN 2023- SCHOOL OF ENGINEERING AND TECHNOLOGY ACKNOWLEDGEMENT It is my proud privilege to present a project on “BLOOD BANK MANAGEMENT SYSTEM”. I take this opportunity to express deep sense of gratitude and would like to give thanks to my guide, “MS Nandani Sharma”, Ass. Professor, School of Advanced Computing, Sanjeev Agrawal Global Educational University, Bhopal, M.P. for his valuable guidance, inspiration and encouragement that has led to successful completion of this work. I could not have accomplished, what I actually have, without their guidance. I would like to express my heartfelt thanks to Dr. Mukesh Dixit, HOD, School of Engineering and Technology, for his valuable suggestions throughout the project work. I would like to express my heartfelt thanks and sense of gratitude to “MS Nandani Sharma” for being a constant source of inspiration. I am also thankful to all faculty members and staff of School of Advanced Computing for their suggestions and support. I would like to deeply thank my family and friends for all the support and encouragement they have rendered time to time. Last but not the least, I dedicate my work to almighty God without whose wish and helping hands this work would not have taken the shape it has now and also to my family members whose support and encouragement had led me to complete this task. Nayan Sahu [BTE24CSE000163] Aayush Kumar [BTE24CSE100005] Rajat Singh [BTE24CSE000208]

TABLE OF CONTENTS

Title page Certificate i Certificate of Approval ii Declaration iii Acknowledgement iv Abstract v Table of Content vi List of Figures vii List of Tables viii CHAPTER NAME OF CONTENT CHAPTER-1 INTRODUCTION 1.1 (^) About Blood Bank Management System 1.2 (^) Key Challenges Blood Bank Management system CHAPTER-2 LITERATURE SURVEY 2.1 Comprehensive Insight into Blood Bank Management system 2.2 Integration Of Modern Technologies

2.3 Case Studies and Practical Implementations CHAPTER-3 MAJOR OBJECTIVE AND SCOPE OF PROJECT 3.1 Major Objectives 3.2 Scope of the Project CHAPTER-4 PROBLEM ANALYSIS AND REQUIREMENT SPECIFICATION 4.1 Problem Analysis 4.2 Requirement Specification CHAPTER-5 DETAILED DESIGN CHAPTER-6 CONCLUSION AND FUTURE SCOPE 6.1 CONCLUSION 6.2 FUTURE SCOPE REFERENCES LIST OF FIGURES S.NO NAME OF FIGURE

SNAPSHOTS OF INPUTS AND OUTPUT 1.2 CODING

Importance of Blood Bank Management

Blood Banks play a crucial role in the healthcare system by

providing a ready supply of blood and blood components to

hospitals and clinics. Efficient blood bank management ensures:

Timely Availability: Ensures that blood is available when

needed, particularly in emergencies. Quality Control: Maintains

the quality and safety of stored blood through proper handling

and storage conditions.

Inventory Management: Manages the inventory to minimize

waste due to expiration and ensure a balanced supply.

Compliance: Adheres to regulatory standards and guidelines to

ensure donor and recipient safety

1.2 Key Challenges in Blood Bank Management

Managing a blood bank involves several challenges that

must be addressed to ensure smooth

operations:

Donor Recruitment and Retention: Attracting and retaining a

steady pool of voluntary donors.

Matching Supply with Demand: Balancing the supply of

different blood types with the varying

demand.

Inventory Control: Keeping track of blood units, including their

type , quantity, and expiration

dates.

Data Management: Handling sensitive donor and recipient data

securely and efficiently.

Logistics: Coordinating the collection, storage, and distribution

of blood units.

Objectives of the Blood Bank Management System The primary objectives of a blood bank management system are: Efficiency: Streamline the processes of blood collection, testing, storage, and distribution. Accuracy: Ensure accurate matching of blood types and minimize errors in data handling. Accessibility: Provide easy access to blood inventory information for hospitals and clinics. Transparency: Maintain transparent records of donations and distributions for regulatory compliance and accountability. Donor Engagement: Enhance donor engagement through user- friendly interfaces and regular communication. The domain of blood bank management is critical to the healthcare sector, demanding innovative solutions to manage the complex processes involved in blood donation, storage, and distribution. By leveraging technology, blood bank management systems can significantly improve the efficiency and effectiveness of blood banks, ensuring a reliable supply of safe blood for those in

need. This chapter has outlined the importance, challenges, and technological advancements in the domain, setting the stage for a deeper exploration of the system's design and implementation in subsequent chapters.

2. LITERATURE SURVEY

Introduction:-

A literature survey provides a comprehensive

overview of existing research, technologies,

methodologies, and systems related to blood bank

management. This chapter aims to review the current

state of knowledge in the field, identify gaps, and

highlight the contributions of various studies that have

informed the design and development of the proposed

blood bank management

should support comprehensive donor screening, including

medical history, travel history, and risk factor assessments.

  1. Inventory Tracking:

Real-time Inventory Monitoring: Effective inventory

management requires real-time tracking of blood units from

collection through storage and distribution. This ensures

that blood is available when needed and helps prevent

shortages or wastage due to expiration. Inventory

Optimization: The study stresses the importance of inventory

optimization algorithms to maintain a balance between supply

and demand. These algorithms can help predict future blood

needs based on historical data and current trends.

  1. Transfusion Management:

Compatibility and Safety: Ensuring the compatibility of

donor and recipient blood types is critical to prevent

transfusion reactions. The system must include robust matching

algorithms and rigorous testing protocols. Detailed Record

Keeping: Maintaining detailed records of all transfusion-

related activities is essential for traceability, regulatory

compliance, and quality control. The study suggests that

BBMS should automate record-keeping to minimize human

error and enhance efficiency

2.2 Integration of Modern Technologies

Sharma and Bhatia (2020) explore the integration of

modern technologies such as cloud computing, the Internet

of Things (IoT), and blockchain into BBMS. Their research

underscores the significance of these technologies in

enhancing efficiency, transparency, and security. Key insights

from their study include:

  1. Cloud Computing: Scalability and Flexibility: Cloud computing enables BBMS to scale efficiently and adapt to varying workloads. It offers flexible storage and processing capabilities, making it easier to handle large volumes of data and multiple users. Cost-effectiveness: Cloud-based solutions can be more cost- effective than traditional on- premises systems, reducing the need for significant upfront investments in hardware and infrastructure.

2.3 Case Studies and Practical Implementations Several case studies illustrate the practical implementation of BBMS and the impact of integrating advanced technologies:

  1. Case Study: National Blood Transfusion Service (NBTS) - UK: Overview: NBTS implemented a centralized BBMS to manage blood donations across multiple regions. The system included modules for donor management, inventory tracking, and transfusion management. Outcomes: The implementation resulted in improved coordination, reduced wastage, and enhanced traceability of blood units. However, the initial resistance from staff and high implementation costs were notable challenges.
  2. Case Study: Red Cross Blood Services - USA: Overview: The Red Cross adopted AI-powered predictive analytics to manage blood inventory. The system analyzed historical data and current trends to predict future blood needs and optimize inventory levels.

Outcomes: This approach led to optimized inventory levels, reduced shortages, and better donor engagement. Data privacy concerns and integration with legacy systems were key challenges.

  1. Case Study: Indian Red Cross Society - India: Overview: The Indian Red Cross Society deployed a mobile application to increase donor participation and streamline operations. The app provided real-time updates on blood inventory, enabled easy appointment scheduling, and sent notifications to donors. Outcomes: The mobile application increased donor registrations, improved communication, and provided real-time inventory updates. Technology adoption in rural areas and maintaining data accuracy were challenges faced during implementation. Gaps in Existing Research While significant progress has been made in the development of BBMS, several gaps remain:
  2. Interoperability: Limited integration capabilities with diverse healthcare IT systems.
  3. Real-time Analytics: Need for more advanced real-time data analytics to predict and manage blood supply and demand.