Big data modeling to predict platelet usage and minimize wastage in a tertiary care system

Medical care Patient Care
DOI: 10.1073/pnas.1714097114 Publication Date: 2017-10-09T19:00:14Z
ABSTRACT
Significance In modern hospital systems where complicated, severely ill patient populations are the norm, there is currently no reliable way to forecast use of perishable medical resources enable a smart and economic deliver optimal care. We here demonstrate statistical model using data quantitatively forecast, days in advance, need for platelet transfusions. This approach can be leveraged significantly decrease wastage, and, if adopted nationwide, would save approximately 80 million dollars per year. believe our generalized all other aspects care involving timely delivery resources.
SUPPLEMENTAL MATERIAL
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