Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management

• DOI: 10.1186/s12911-022-01983-7
• Publication Date: 2022-09-21T12:04:04Z
• Authors: Anna S. Levin; Maristela P. Freire; Maura Salaroli de...; Ana Catharina S. ...; Leila S. Harima; Lauro Vieira Perd...; Marcello M. Magri; Gabriel Fialkovitz; Pedro H. M. F. Fi...; Rinaldo Focaccia ...; Ester C. Sabino; Danilo P. N. Carl...; Davi Silva Rodrigues; Fátima L. S. Nunes; João Eduardo Ferr...; ; Geraldo Busatto F...; Eloisa Bonfá; Edivaldo Utiyama; Aluisio Segurado; Beatriz Perondi; Anna M. Morais; Amanda Montal; Solange Fusco; Marjorie Fregonesi; Marcelo Rocha; Izabel Marcilio; Izabel C. Rios; Fabiane; Y. O. Kawano; M. Amelia de Jesus; Esper G. Kallas; Carolina Marmo; Clarice Tanaka; Heraldo P. de Souza; Julio F. M. Marchini; Carlos Carvalho; Juliana C. Ferreira; Thais Guimaraes; Carolina S. Lazari; Alberto J. S. Duarte; M. Cristina Braido; P. B. Francisco; Silvia F. Costa
• Keywords: Medical record

Optimal COVID-19 management is still undefined. In this complicated scenario, the construction of a computational model capable extracting information from electronic medical records, correlating signs, symptoms and prescriptions, could improve patient management/prognosis.