ARTIFICIAL INTELLIGENCE APPLICATIONS IN BLOOD BANKS: PROCESS OPTIMIZATION, DEMAND PREDICTION AND IMPROVEMENT IN HEALTHCARE MANAGEMENT

Giraldo L.F.G.; Machado J.G.; Cardona D.C.V.; Moya L.P.; Valencia-Arias A.; Cardona-Acevedo S.; Arango D.A.G. · Scientific Culture (2025) · DOI: 10.5281/zenodo.11032565

Resumen

Blood banks play a vital role in healthcare systems by ensuring the supply of safe, high-quality blood products. However, their management faces logistical challenges that impact operational efficiency and healthcare. Artificial intelligence is emerging as a strategic tool to optimise processes, anticipate demand and strengthen decision-making. However, its application in blood banks remains fragmented, with disparate studies and varied methodological approaches. This study aimed to identify the applications, benefits and challenges of using artificial intelligence in the management of blood banks, as well as technological developments in this area. To achieve this objective, a systematic review was conducted in accordance with the PRISMA 2020 guidelines, enabling the structured analysis of existing knowledge. The conclusions highlight the need to consolidate disciplined development and integrate technological advances with robust ethical frameworks, guiding future applications towards an efficient, inclusive and sustainable health ecosystem.

Instituciones: Universidad Autónoma del Perú