ARTIFICIAL INTELLIGENCE APPLICATIONS IN BLOOD BANKS: PROCESS OPTIMIZATION, DEMAND PREDICTION AND IMPROVEMENT IN HEALTHCARE MANAGEMENT.
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, ant...
| Publicado en: | Scientific Culture Vol. 11; no. 3, Part 1; pp. 940 - 957 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | Literature Review |
| Publicado: |
University of the Aegean
2025
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=191039538&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 191039538 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 24080071 I6HU jtl: Scientific Culture issn: 24080071 maglogo: N pubinfo: dt: 2025 vid: 11 iid: 3, Part 1 pid: 47715 pub: University of the Aegean artinfo: ui: 191039538 10.5281/zenodo.11032565 ppf: 940 ppct: 17 formats: tig: atl: ARTIFICIAL INTELLIGENCE APPLICATIONS IN BLOOD BANKS: PROCESS OPTIMIZATION, DEMAND PREDICTION AND IMPROVEMENT IN HEALTHCARE MANAGEMENT. aug: au: Garcés Giraldo, Luis Fernando Garcés Machado, Jerónimo Velasco Cardona, Diana Carolina Palacios Moya, Lucia Valencia-Arias, Alejandro Cardona-Acevedo, Sebastián García Arango, David Alberto affil: Dirección de Investigación e Innovación, Universidad Autónoma del Perú, Lima-Perú Medicina - Universidad de Antioquia, Medellín, Colombia Ciencias de la Salud, Institución Universitaria Institución Universitaria Colegio Mayor de Antioquia, Colombia Centro de Investigaciones, Institución Universitaria Escolme, Colombia Vicerrectoría de Investigación y postgrado, Universidad de Los Lagos, Chile Coordinación de Investigación, Institución Universitaria Marco Fidel Suárez, Colombia Dirección de Investigación e Innovación, Universidad Autónoma del Perú su: Artificial intelligence Blood banks Demand forecasting Ethics Hospital administration Evaluation methodology Resource allocation Process optimization sug: subj: Artificial intelligence Blood banks Demand forecasting Ethics Hospital administration Evaluation methodology Resource allocation Process optimization keyword: Artificial Intelligence Blood Banks Demand Forecasting Healthcare Management Process Optimisation ab: 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. pubtype: Academic Journal doctype: Literature Review src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
|---|