Bibliographic citations
Tapullima, M., Montalván, G. (2021). Propuesta de Machine Learning sobre datos de historias clínicas para informar el estado de salud de pacientes COVID-19, ESSALUD – Tarapoto, 2021 [Trabajo de suficiencia profesional, Universidad Científica del Perú]. http://hdl.handle.net/20.500.14503/2441
Tapullima, M., Montalván, G. Propuesta de Machine Learning sobre datos de historias clínicas para informar el estado de salud de pacientes COVID-19, ESSALUD – Tarapoto, 2021 [Trabajo de suficiencia profesional]. PE: Universidad Científica del Perú; 2021. http://hdl.handle.net/20.500.14503/2441
@misc{renati/1038657,
title = "Propuesta de Machine Learning sobre datos de historias clínicas para informar el estado de salud de pacientes COVID-19, ESSALUD – Tarapoto, 2021",
author = "Montalván Sajami, Gary Paolo",
publisher = "Universidad Científica del Perú",
year = "2021"
}
The present investigation has as a problem the lack of information towards the relatives, once the patient enters the health facility, in this case it is ESSALUD-Tarapoto, in addition to the delays that may arise in internal decision-making in the area COVID, due to lack of information in real time. For this, the following objective is proposed: Propose Machine Learning, on data from medical records, to report on the health status of COVID-19 patients, ESSALUD - Tarapoto, and as specific objectives: Analyze the context and make a situational diagnosis, Know information on the health status of patients in hospitalization, Know information on the health status of patients in ICU bed and design A prototype of Machine Learning system on data from medical records, to report on the health status of COVID-19 patients, ESSALUD - Tarapoto, has an explanatory scope and a pre-experimental design, the research population will be made up of all the professionals of the COVID area, who work in ESSALUD - Tarapoto, the relatives of the patients, and the medical records of the COVID patients, who have been registered in ESSALUD - Tarapoto in the last two months, of which the sample is made up of 10 professionals from the area COVID, 20 family members of COVID patients and the medical records of COVID patients from the last 2 months. As a data collection technique, the survey was used and the questionnaire as an instrument, observation was also used as a technique and a checklist as an instrument, and a documentary analysis was also used as a technique and clinical records as an instrument. As results, it is obtained that 70% state that they never provide information on the patient's condition to their relatives and 30% almost never; 20% state that they almost always believe that it is necessary for family members to know the health status of patients, and 80% believe that they always; 60% state that there has never been any communication channel to be able to provide information about the health status to the patient's relatives, and 40% answer that almost never; 10% state that it is almost always necessary that there is a digital medium to be able to provide information about the health status to family members and 90% answer that they always; 70% state that family members never know if the patient is about to go from hospitalization to ICU; 70% state that they do not know when the patient is to go to the ICU and 30% only sometimes; 60% state that they almost never have information in real time of how many patients are in pág. 13 hospitalization, and 40% state that sometimes; 70% state that they almost never have updated information on the number of patients who were hospitalized per unit of time, and 30% state that sometimes; 70% state that they almost always have real-time information on how many patients are in the ICU, and 30% state that they always; 70% state that they never had real-time information on the number of patients who were in the ICU per unit of time, and 70% state that they almost never; 80% state that they never had information on the number of patients they may have in hospitalization in the coming days; 80% state that they never had information on the number of patients they may have in the ICU in the coming days.
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