Banca de QUALIFICAÇÃO: LUCIANA MARIA VARELA DE QUEIROZ

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : LUCIANA MARIA VARELA DE QUEIROZ
DATE: 19/11/2024
TIME: 09:30
LOCAL: Banca Remota
TITLE:

Machine learning applied to newborn skin care.

KEY WORDS:

newborn; risk factor; skin lesion; nursing care; machine learning.

PAGES: 70
BIG AREA: Ciências da Saúde
AREA: Enfermagem
SUBÁREA: Enfermagem em Saúde da Criança e do Adolescente
SUMMARY:

During the neonatal period, preserving skin integrity is a fundamental aspect of nursing care. Approximately 80% of newborns develop some skin injury within the first month of life, especially premature babies, so having a trained team is essential. Studies conducted in Brazil show that the incidence of skin lesions in hospitalized newborns is approximately 40.4%, with diaper rash being the most common lesion. Thus, this study aims to build a decision tree for newborn skin care. This is a methodological research with a quantitative approach where the population will be composed of nurses who work in the Neonatal Intensive Care Unit of the Januario Cicco Maternity School, with the sample consisting of 21 professionals. The study will be conducted in two phases: the first involves a systematic review and the second phase will include data collection through interviews, followed by the construction and validation of the decision tree. This study was submitted to the Institution's Research Ethics Committee, in accordance with Resolution No. 466/12 of the National Health Council. It is expected that this research will contribute to the knowledge of the Nursing team regarding the prevention of skin lesions in newborns, as well as to the improvement of teaching/research practices in the hospital environment. In addition, it will strengthen patient safety and prevent harm, also reducing infection rates and length of hospital stay.

COMMITTEE MEMBERS:
Presidente - 1422699 - HERTZ WILTON DE CASTRO LINS
Interno - 1510735 - DANILO ALVES PINTO NAGEM
Interna - 3151534 - HELENI AIRES CLEMENTE
Interno - 1204045 - JOSE ADAILTON DA SILVA