Healthc Inform Res.  2021 Jan;27(1):73-81. 10.4258/hir.2021.27.1.73.

Dynamic Demand-Centered Process-Oriented Data Model for Inventory Management of Hemovigilance Systems

• Sohrabi M
• Zandieh M
• Nadjafi BA

• KMID: 2512627
• DOI: http://doi.org/10.4258/hir.2021.27.1.73

Abstract

Objectives
This paper presents a reference data model for blood bank management to control blood inventories considering real-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 the inventory management literature for blood wastage and shortage reduction, such as clearance sale and substitution based on medical 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-structured questionnaires and interviews, the research team elicited and classified user requirements. Then, the demand-centered sub-processes and comprehensive functions were mapped to manage the process.
Results
The model captures and integrates the top-level features of the inventory system entities. It also provides insights into a developed data dictionary to understand the system’s elements and attributes, where a data item fits in the structure, and what values it may contain. For designing the system’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. The model provides real-time iterative dynamic process insights. It can also provide the data needed for logistic planning systems and the design of blood operational infrastructure.

Keyword

Blood Bank, Hospital Information System, Hospital Inventory, Process Assessment Health Care, System Analysis

Figure

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  Figure 1 Activity diagram of the overall process of the hospital blood bank inventory system.

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  Figure 2 Elements of the system.

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  Figure 3 The main steps of the blood inventory management process at the hospital blood bank and their components.

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  Figure 4 The Structured Analysis and Design Technique (SADT) “ICOM box” of the demand forecasting step containing components and middle entities.

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  Figure 5 Data flow diagram of the hospital blood bank inventory management system and the background of tracking of the process into the demand-centered clinical data repository.

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  Figure 6 Integrated steps of the hospital blood bank inventory management process with time sequence shows the dynamics of the information systems.

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  Figure 7 Object-oriented diagram of a process data model.

Reference

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