Big data modeling to predict platelet usage and minimize wastage in a tertiary care system
Leying Guan,Xiaoying Tian,Saurabh Gombar,Allison Zemek,Gomathi Krishnan,Robert A. Scott,Balasubramanian Narasimhan,Robert Tibshirani,Tho D. Pham +8 more
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TLDR
A statistical model is demonstrated using hospital patient data to quantitatively forecast, days in advance, the need for platelet transfusions, and this approach can be leveraged to significantly decrease platelet wastage, and, if adopted nationwide, would save approximately 80 million dollars per year.Abstract:
Maintaining a robust blood product supply is an essential requirement to guarantee optimal patient care in modern health care systems. However, daily blood product use is difficult to anticipate. Platelet products are the most variable in daily usage, have short shelf lives, and are also the most expensive to produce, test, and store. Due to the combination of absolute need, uncertain daily demand, and short shelf life, platelet products are frequently wasted due to expiration. Our aim is to build and validate a statistical model to forecast future platelet demand and thereby reduce wastage. We have investigated platelet usage patterns at our institution, and specifically interrogated the relationship between platelet usage and aggregated hospital-wide patient data over a recent consecutive 29-mo period. Using a convex statistical formulation, we have found that platelet usage is highly dependent on weekday/weekend pattern, number of patients with various abnormal complete blood count measurements, and location-specific hospital census data. We incorporated these relationships in a mathematical model to guide collection and ordering strategy. This model minimizes waste due to expiration while avoiding shortages; the number of remaining platelet units at the end of any day stays above 10 in our model during the same period. Compared with historical expiration rates during the same period, our model reduces the expiration rate from 10.5 to 3.2%. Extrapolating our results to the ∼2 million units of platelets transfused annually within the United States, if implemented successfully, our model can potentially save ∼80 million dollars in health care costs.read more
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References
More filters
Journal Article
R: A language and environment for statistical computing.
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI
Regression Shrinkage and Selection via the Lasso
TL;DR: A new method for estimation in linear models called the lasso, which minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a constant, is proposed.
Journal ArticleDOI
Pathogen reduction of blood components.
TL;DR: This manuscript reviews the current experience and discusses future trends of pathogen reduction of pooled plasma products, and a promising method for solvent detergent treatment of single donor plasma units has been published.
Journal ArticleDOI
A critical comparison of platelet preparation methods
Ralph R. Vassallo,Scott Murphy +1 more
TL;DR: A literature-based review of the relative merits of apheresis-derived and whole-blood-derived platelets is presented and additional studies are needed in order to define the optimal proportion of the platelet supply from Apheresis collections and the choice of whole- Blood-derived production method for US blood providers.
Journal ArticleDOI
Platelet transfusions in the neonatal intensive care unit:factors predicting which patients will require multiple transfusions.
Antonio Del Vecchio,Martha C. Sola,Douglas W. Theriaque,Alan D. Hutson,K. J. Kao,Dale Wright,Maria G Garcia,Bradley H Pollock,Robert D. Christensen +8 more
TL;DR: This study found means of prospectively identifying patients who will require multiple platelet transfusions for more than 5 days following treatment with recombinant thrombopoietin (rTPO).