Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-09342-5_46
Reference12 articles.
1. Guan, L., et al.: Big data modeling to predict platelet usage and minimize wastage in a tertiary care system. Proc. Natl. Acad. Sci. U. S. A. 114, 11368–11373 (2017). https://doi.org/10.1073/pnas.1714097114
2. Soares, H.L.F., Arruda, E.F., Bahiense, L., Gartner, D., Filho, L.A.: Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate. Artif. Intell. Med. 104, 101791 (2020). https://doi.org/10.1016/j.artmed.2020.101791
3. Cheng, C.K., Trethewey, D., Sadek, I.: Comprehensive survey of red blood cell unit life cycle at a large teaching institution in eastern Canada. Transf. (Paris) 50, 160–165 (2010)
4. Woo, J.S., et al.: Development and implementation of real-time web-based dashboards in a multisite transfusion service. J. Pathol. Inform. 10, 3 (2019). https://doi.org/10.4103/jpi.jpi_36_18
5. Rad, J.: Blood inventory management dashboard demo (BIMD-Live). https://youtu.be/1iAy6H2KPjA
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