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• W2187003118 abstract "The authors have previously validated a design of the health-care supply chain which treats patients as inventory without loss of respect for the patients. This work continues examination of patients as inventory while addressing the dual objectives of reducing redundancy in services and creating greater efficiency in the health-care supply chain. Historical data is used to forecast health care needs in light of the increasingly specialized health-care professionals, which have resulted in much more flexible and expensive supply chains. The lack of common data storage, or electronic medical records (EMRs), has created a need for redundancy (or rework) in medical testing. The use of EMR will also enhance our ability to forecast needs in the future. We perform simulations using SigmaFlow software to address our goals relative to the resource constraints, monetary constraints, and the overall culture of the medical supply chain. The simulation outcomes lead us to recommendations for data warehousing as well as providing mechanisms, like inventory postponement strategies, to establish structures for more efficiency, and reduced flexibility in the supply chains." @default.
• W2187003118 created "2016-06-24" @default.
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• W2187003118 date "2011-11-14" @default.
• W2187003118 modified "2023-09-27" @default.
• W2187003118 title "Simulation to Forecast the Impact of Electronic Medical Records and Inventory (Patient) Postponement in Developing Efficient Heath Care Supply Chains" @default.
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• W2187003118 doi "https://doi.org/10.1108/s1477-4070(2011)0000008012" @default.
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