Kros John F, Yim Pang Robyn
Department of Decision Sciences, School of Business, East Carolina University, 3206B Bate Building, Greenville, NC 27858-4353, USA.
Comput Methods Programs Biomed. 2004 Apr;74(1):77-89. doi: 10.1016/S0169-2607(03)00072-5.
A decision support system (DSS) is presented that allows users to input, analyze, and output data derived from blood banking operations. The DSS developed is a hybrid system that is both data and model driven. The system provides information, models, and data manipulation tools to assist users in the quantitative measurement of the operational efficiency in a blood collection facility. A relational database was developed to address the four major variables, which impact the cost per unit of blood being collected. Using visual basic, a user interface and mathematical model were developed establishing the relationships to analyze cost per unit of collected blood. Using inputs from users and historical financial data, the DSS calculates the cost per unit as each of the major variables is altered. Real life situations by the mobile operations team at a blood collection facility were used to test the DSS.
本文介绍了一种决策支持系统(DSS),该系统允许用户输入、分析和输出源自血库操作的数据。所开发的DSS是一个兼具数据驱动和模型驱动的混合系统。该系统提供信息、模型和数据处理工具,以协助用户对采血机构的运营效率进行定量评估。开发了一个关系数据库来处理影响每单位采集血液成本的四个主要变量。使用Visual Basic开发了一个用户界面和数学模型,以建立分析每单位采集血液成本的关系。DSS利用用户输入和历史财务数据,在每个主要变量发生变化时计算单位成本。采血机构的移动运营团队采用实际案例对DSS进行了测试。