Bibliographic citations
Chávez, J., Campos, J., Mendez, D. (2021). Propuesta de analítica de negocios para determinar un modelo de priorización de pacientes Covid-19 en Perú [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/656643
Chávez, J., Campos, J., Mendez, D. Propuesta de analítica de negocios para determinar un modelo de priorización de pacientes Covid-19 en Perú [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/656643
@mastersthesis{renati/396195,
title = "Propuesta de analítica de negocios para determinar un modelo de priorización de pacientes Covid-19 en Perú",
author = "Mendez Lara, Derly Marcela",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
Covid-19 is a new disease that has put the whole world in a very difficult situation. The situation in Peru has been one of the most difficult, reaching more than 140,000 deaths in April 2021 according to SINADEF, reaching a new peak of 783 average deaths per day in March 2021. Faced with this high demand for health services, the Industry professionals take responsibility for prioritizing patient care with subjective protocols. The National Institute of Health (INS), the place where this study was carried out, has among its responsibilities the provision of health services for the control of communicable diseases and the development of scientific-technological research. For this reason, it has implemented laboratories for molecular tests, care protocols, sequenced the genome of the Peruvian variant, etc. Along these lines, the INS, in addition to providing us with information on the Covid19 tests (more than 7 million records with risk factors, symptoms, age, gender, etc.) and the deceased from SINADEF, provided us with expert judgment through their professionals: epidemiologists, biomedical computer scientists, researchers, etc. Predictive models allow you to analyze large volumes of data and from them discover patterns and determine their correlations. With all the information available, applying the Business Analytics processes, an analytical model was developed for the prioritization of Covid-19 patients. The model could also be used in the priority of vaccination and in the design of public health policies related to the pandemic.
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