Abstract
Summary SAD_BaSe is a blood bank data analysis software, created to assist in the management of blood donations and the blood production chain in blood establishments. In particular, the system keeps track of several collection and production indicators, enables the definition of collection and production strategies, and the measurement of quality indicators required by the Quality Management System regulating the general operation of blood establishments.This paper describes the general scenario of blood establishments and its main requirements in terms of data management and analysis. It presents the architecture of SAD_BaSe and identifies its main contributions. Specifically, it brings forward the generation of customized reports driven by decision making needs and the use of data mining techniques in the analysis of donor suspensions and donation discards.
Highlights
Blood transfusions are nowadays a safe medical practice, adverse reactions can occur, and in extreme cases, they may compromise the life of the patients
For example: patients can get infected blood if the analytical results of a syphilis infected donor are not correctly interpreted; patients can suffer from kidney failure due to the erroneous determination of blood group; patients can get a bacterial infection if blood collection, processing and administration are not undertaken in a clean environment and using sterile procedures
The remainder of the paper describes the work as follows: section 2 introduces current blood establishment software systems and distinguishes between their functionalities and goals and those of SAD_BaSe; section 3 details the architecture of SAD_BaSe; section 4 shows results obtained for the case study, highlighting new analytical capabilities; last, there are some final remarks about the work, pin pointing future developments
Summary
SAD_BaSe is a blood bank data analysis software, created to assist in the management of blood donations and the blood production chain in blood establishments. This paper describes the general scenario of blood establishments and its main requirements in terms of data management and analysis. It presents the architecture of SAD_BaSe and identifies its main contributions. It brings forward the generation of customized reports driven by decision making needs and the use of data mining techniques in the analysis of donor suspensions and donation discards
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
