Publications by authors named "N Rahimi-Levene"
: The COVID-19 pandemic markedly increased the number of patients with infection-related acute respiratory distress syndrome who required extracorporeal membrane oxygenation (ECMO) and multiple blood transfusions. This study aimed to assess a potential correlation between the daily rate of transfused blood products and the intensive care unit (ICU) outcome of ECMO-supported COVID-19 patients. : Data were retrieved from the electronic databases of three Israeli tertiary care centers.
View Article and Find Full Text PDFArtificial intelligence (AI) uses sophisticated algorithms to "learn" from large volumes of data. This could be used to optimise recruitment of blood donors through predictive modelling of future blood supply, based on previous donation and transfusion demand. We sought to assess utilisation of predictive modelling and AI blood establishments (BE) and conducted predictive modelling to illustrate its use.
View Article and Find Full Text PDFArticle Synopsis
- * A mixed-method approach was used, combining surveys and interviews from participants across 13 institutions, revealing various funding sources and diverse assessment methods for measuring learner outcomes.
- * Key facilitators include management support and compliance audits, while barriers involve challenges like time allocation for development, content updates, and access to performance data; there's a call for more research on the impact of these e-learning programs on actual transfusion practices.