A decision support system for quantitative measurement of operational efficiency in a blood collection facility.
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.
Department of Decision Sciences, School of Business, East Carolina University, 3206B Bate Building, Greenville, NC 27858-4353, USA. krosj@mail.ecu.edu
John F
JF
Kros
Robyn
R
Yim Pang
D001771:Blood Banks / Q000458:organization & administration*; D020000:Decision Support Systems, Clinical; D017598:Efficiency, Organizational; D014584:User-Computer Interface