Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2021
Machine learning analysis to predict health outcomes among emergency department users in Southern Brazil: a protocol study.
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Nunes Bruno Pereira, Vissoci João, Delpino Felipe Mendes, Stolz Pablo, Farias Sabrina Ribeiro, Coelho Bruna Borges, Viegas Inidiara da Silva, Carvalho Junior Denis Carlos, Dias Camila Sebaje da Silva, Almeida Ana Paula Santana Coelho, Facchini Luiz Augusto, Chiavegatto Filho Alexandre Dias Porto
Аннотация
OBJECTIVE: Emergency services are essential to the organization of the health care system. Nevertheless, they face different operational difficulties, including overcrowded services, largely explained by their inappropriate use and the repeated visits from users. Although a known situation, information on the theme is scarce in Brazil, particularly regarding longitudinal user monitoring. Thus, this project aims to evaluate the predictive performance of different machine learning algorithms to estimate the inappropriate and repeated use of emergency services and mortality.
METHODS: To that end, a study will be conducted in the municipality of Pelotas, Rio Grande do Sul, with around five thousand users of the municipal emergency department.
RESULTS: If the study is successful, we will provide an algorithm that could be used in clinical practice to assist health professionals in decision-making within hospitals. Different knowledge dissemination strategies will be used to increase the capacity of the study to produce innovations for the organization of the health system and services.
CONCLUSION: A high performance predictive model may be able to help decisionmaking in the emergency services, improving quality of care.
METHODS: To that end, a study will be conducted in the municipality of Pelotas, Rio Grande do Sul, with around five thousand users of the municipal emergency department.
RESULTS: If the study is successful, we will provide an algorithm that could be used in clinical practice to assist health professionals in decision-making within hospitals. Different knowledge dissemination strategies will be used to increase the capacity of the study to produce innovations for the organization of the health system and services.
CONCLUSION: A high performance predictive model may be able to help decisionmaking in the emergency services, improving quality of care.