TEAM_5_Hospital patient record system using Doubely linked list.docx (1).pptx

A simple and short description about data structure and algorithms

1. Hospital Patient Record System using Doubly Linked List Maha Asmitha.T.S (24uEC047) KamaliBharathy.M (24Uec049) Aanikka Sanjana.M (24UEC116) Class Section (II ECE B) 2024-2028 Batch

2. CONTENTS – Left alignment – caps Font type: Verdana Font Size: 28 Problem Statement Objectives Requirement Specification System Design Results Conclusion 2

3. Problem Statement 3 In modern hospitals, managing large volumes of patient records is essential for efficient operations and timely care. Traditional static data structures like arrays are inefficient for frequent updates, such as admissions or discharges. A Hospital Patient Record System using a Doubly Linked List offers a dynamic and flexible solution, allowing efficient insertion, deletion, and bidirectional traversal of records. This approach ensures up-to-date, easily accessible information, improving data management, retrieval speed, and overall hospital decision-making.

4. Objectives 4 Dynamic and memory-efficient data storage Quick insertion and deletion at any position Forward and backward record navigation Real-time record updates for admissions/discharges Search and update by ID or name Eliminate data redundancy with unique patient IDs Enhance system speed and ease of use for hospital staff

5. Requirement Specification 5 Functional: Add, delete, update, search, and display patient records with a simple menu interface. Non-Functional: Fast, user-friendly, reliable, scalable, and easy to maintain. Tools: C language, standard PC, any C-compatible IDE (GCC, Code::Blocks, etc.).

6. System Design 6

7. Results 7

8. Conclusion 8 Efficiently manages patient records using a doubly linked list . Supports dynamic memory allocation for flexible data handling. Enables quick insertion , deletion , search , and update operations. Allows forward and backward traversal of records. Provides a simple, user-friendly menu interface . Suitable for real-time hospital environments with frequent data changes .

9. Thank You