The process of testing a sample of a patient's blood against units of blood from inventory to ensure compatibility is called crossmatching. When a physician orders blood, it is crossmatched and then held for a patient. As a precautionary measure, physicians tend to order blood in excess of the amount that is transfused (used by the patient). Consequently, a large proportion of blood held for a patient (often higher than 50 percent) is eventually not transfused. This leads to increased outdates. The effects of crossmatching on outdates are widely acknowledged, but have seldom been included in blood inventory control models. In this paper, we develop a model for determining outdates and shortages for crossmatched blood using generally accepted parameters, such as proportion of crossmatched blood that is actually transfused, and the number of days after which crossmatched blood is released if not transfused. This model can be used as a decision support system that allows the blood bank administrator to do sensitivity analyses related to controllable blood inventory parameters.health care, blood bank, perishable inventory, Brownian motion, decision support systems
Radical and Incremental Innovation Preferences in Information Technology: An Empirical Study in an Emerging Economy Abstract Innovation in information technology is a primary driver for growth in developed economies. Research indicates that countries go through three stages in the adoption of innovation strategies: buying innovation through global trade, incremental innovation from other countries by enhancing efficiency, and, at the most developed stage, radically innovating independently for competitive advantage. The first two stages of innovation maturity depend more on cross-border trade than the third stage. In this paper, we find that IT professionals in in an emerging economy such as India believe in radical innovation over incremental innovation (adaptation) as a growth strategy, even though competitive advantage may rest in adaptation. The results of the study report the preference for innovation strategies among IT professionals in India and its implications for other rapidly growing emerging economies
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