Castillo LR

Language: Spanish
References: 10
Page: s48-50
PDF size: 170.62 Kb.

REFERENCES

1. Checkit. (2023). Digital technology transforming inventory management in blood banks. https://www.checkit.net

2. MDPI. (2023). Enhancing Blood Bank Safety with Digital Systems. https://www.mdpi.com/2078-2489/14/1/31

3. FasterCapital. (2023). Smart Technologies in Blood Banks. https://fastercapital.com/content/Blood-Bank-Innovation.html

4. Villamin C, Bates T, Mescher B, Benitez S, Martinez F, Knopfelmacher A et al. Digitally enabled hemovigilance allows real time response to transfusion reactions. Transfusion. 2022; 62 (5): 1010-1018.

5. Li N, Chiang F, Down DG, Heddle NM. A decision integration strategy for short-term demand forecasting and ordering for red blood cell components. arXiv. 2020. Disponible en: https://arxiv.org/abs/2008.07486

6. Farrington J, Alimam S, Utley M, Li K, Wong WK. Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks. arXiv. 2024. Disponible en: https://arxiv.org/abs/2411.14939

7. Jiang L, Zhang G, Hao K, Xiang W, Zhang Q, Xie Y et al. Electronic transfusion consent and blood delivering pattern improve the management of blood bank in China. BMC Health Serv Res. 2022; 26; 22 (1): 561.

8. Ashpublications. Technology for transfusion safety. 2023. Disponible en: https://ashpublications.org/blood/article/142/26/2315/498488/Optimizing-platelet-transfusion-through-a

9. NumberAnalytics. (2023). Innovations in blood bank management. https://www.numberanalytics.com/blog/blood-bank-management

10. Chen P, Lai D, Xu X, Long M, Kang N. How to improve blood transfusion safety through information technology and practices. Comput Biol Med. 2025; 190: 110120.