Dr. K. Sundara Velrani, Harivelan G, Jeeva S, Kishore Moorthy S, Madhusudhan N, Sendouramoorthy J
Abstract
Blood and organ donation play a critical role in modern healthcare systems, particularly in emergency and life- threatening situations where timely access to compatible donors can determine patient survival. Despite advancements in medi- cal infrastructure, the process of identifying and coordinating suitable donors remains inefficient in many regions. Existing systems largely depend on manual communication, static donor databases, or basic digital platforms that lack real-time validation of donor availability and medical eligibility. These limitations often lead to delays, unnecessary communication with ineligible donors, and reduced chances of successful donor matching during emergencies.
This paper presents LifeLink, a unified mobile-based platform designed to enhance the efficiency and reliability of blood and organ donor matching through intelligent real-time processing. The proposed system integrates multiple critical parameters, including donor compatibility, geographic proximity, urgency of the request, real-time availability, and medical eligibility constraints. A key feature of the system is the enforcement of a mandatory recovery period after blood donation, ensuring that donors are not contacted until they are medically fit to donate again. Additionally, the platform utilizes location-based services to determine whether donors are within a reachable distance, thereby eliminating delays caused by contacting out-of-station individuals.
The LifeLink system is built using a layered architecture that includes user interface, authentication, processing and match- ing, data management, and communication modules. The core matching engine applies rule-based filtering and prioritization techniques to identify the most suitable donors for a given emergency request. Real-time notifications are then sent only to eligible and available donors, enabling faster response and confirmation. The system also maintains a centralized database to store donor profiles, donation history, consent records, and request data, supporting continuous updates and efficient coor- dination between donors, patients, and healthcare providers. Experimental evaluation through simulated emergency scenar-
ios demonstrates that the proposed system significantly reduces the time required to identify appropriate donors compared to traditional methods. By minimizing unnecessary communication and ensuring that only relevant donors are contacted, the system improves overall response efficiency and reliability. Furthermore, the integration of both blood and organ donation services into a single platform addresses the fragmentation seen in existing solutions, providing a more comprehensive approach to donor management.
In addition to improving operational efficiency, the proposed system emphasizes donor safety and ethical considerations. Auto- mated eligibility checks prevent medically unsuitable donations, while consent-based handling of organ donation data enhances transparency and user trust. The platform is also designed to be scalable and adaptable, allowing for future integration with hospital information systems, government databases, and advanced technologies such as machine learning for predictive donor availability.
Overall, LifeLink demonstrates how mobile technology com- bined with intelligent filtering and real-time communication can transform traditional donor coordination processes. The proposed solution offers a practical, efficient, and scalable frame- work for improving emergency healthcare response, with the potential to save lives by enabling faster and more accurate donor matching.
Keywords
Blood donation, Organ donation, Mobile application, Emergency healthcare, Real-time donor matching, Donor availability, Location-based services, Healthcare information system.
Conclusion
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How to Cite This Paper
Dr. K. Sundara Velrani, Harivelan G, Jeeva S, Kishore Moorthy S, Madhusudhan N, Sendouramoorthy J (2026). LifeLink-Unified Blood and Organ Donation Matching Platform. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
