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Mahnaz Sohrabi,Mostafa Zandieh,Behrouz Afshar Nadjafi 대한의료정보학회 2021 Healthcare Informatics Research Vol.27 No.1
Objectives: This paper presents a reference data model for blood bank management to control blood inventories consideringreal-world uncertainties and constraints. It helps information systems identify blood product status for various critical decisions(such as replenishment, assignment, and issuing) instantly. Additionally, some significant optimization concepts of theinventory management literature for blood wastage and shortage reduction, such as clearance sale and substitution based onmedical priorities, are applied in the model. Methods: The proposed model was constructed by object-oriented and ICAM(Integrated Computer Aided Manufacturing) definition ɸ (IDEF0) techniques for function modeling. Through semi-structuredquestionnaires and interviews, the research team elicited and classified user requirements. Then, the demand-centeredsub-processes and comprehensive functions were mapped to manage the process. Results: The model captures and integratesthe top-level features of the inventory system entities. It also provides insights into a developed data dictionary to understandthe system’s elements and attributes, where a data item fits in the structure, and what values it may contain. For designing thesystem’s process and following-up data, the main relevant inputs are considered. Conclusions: A flexible and applicable demand-centered framework for managing a typical blood bank’s inventory process was developed by focusing on user requirements. The proposed model can be applied to design and monitor inventory information and decision-support systems. Themodel provides real-time iterative dynamic process insights. It can also provide the data needed for logistic planning systemsand the design of blood operational infrastructure.