Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning-Based Design Thinking Study.

Journal: JMIR research protocols
PMID: 39133913

Abstract

BACKGROUND: The use of technologies has had a significant impact on patient safety and the quality of care and has increased globally. In the literature, it has been reported that people die annually due to adverse events (AEs), and various methods exist for investigating and measuring AEs. However, some methods have a limited scope, data extraction, and the need for data standardization. In Brazil, there are few studies on the application of trigger tools, and this study is the first to create automated triggers in ambulatory care.

Authors

  • Claire Nierva Herrera
    Fundamental of Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.
  • Fernanda Raphael Escobar Gimenes
    Fundamental of Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.
  • João Paulo Herrera
    Eldorado Research Institute, Campinas, Brazil.
  • Ricardo Cavalli
    Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.

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