Ai-based Emergency Blood Donor Matching and Recommendation System
Year: 2026
Type: article
Abstract: This paper presents an AI-Based Emergency Blood Donor Matching and Recommendation System designed to improve the efficiency of blood donor discovery and emergency coordination. The proposed system aims to connect patients or healthcare providers with suitable blood donors based on blood group compatibility, geographical location, donor availability, and emergency requirements. The system proposes an intelligent matching and recommendation approach to help identify potential donors quickly and simplify communication during urgent blood requirements. It also focuses on location-aware donor discovery, efficient information management, and timely coordination between donors and recipients. The proposed approach can support the development of digital healthcare solutions by reducing the time and effort required to find suitable blood donors. This paper describes the system concept, its major components, proposed workflow, and potential benefits. The system is a proposed approach, and its actual performance and effectiveness require further implementation and evaluation.
Author: Pandit, Nikita
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7222809090
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