AI-BASED EMERGENCY BLOOD DONOR MATCHING AND RECOMMENDATION SYSTEM

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-17
DOI
https://doi.org/10.5281/zenodo.23441195
Primary Topic
Blood donation and transfusion practices
Type
article
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article

AI-BASED EMERGENCY BLOOD DONOR MATCHING AND RECOMMENDATION SYSTEM

Nikita Pandit
Zenodo (CERN European Organization for Nuclear Research)
Blood donation and transfusion practices
article

AI-BASED EMERGENCY BLOOD DONOR MATCHING AND RECOMMENDATION SYSTEM

Nikita Pandit
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 8%
Blood donation and transfusion practices
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