Implementation of an Artificial Intelligence Algorithm for sepsis detection

to present the nurses' experience with technological tools to support the early identification of sepsis. experience report before and after the implementation of artificial intelligence algorithms in the clinical practice of a philanthropic hospital, in the first half of 2018. describe the mot...

Full description

Saved in:

Bibliographic Details
Published in:	Revista Brasileira de Enfermagem Vol. 73; no. 3; p. e20180421
Main Authors:	Gonçalves, Luciana Schleder, Amaro, Maria Luiza de Medeiros, Romero, Andressa de Lima Miranda, Schamne, Fernanda Karoline, Fressatto, Jacson Luiz, Bezerra, Carolina Wrobel
Format:	Journal Article
Language:	English
Published:	Brazil Associação Brasileira de Enfermagem 01-01-2020
Subjects:	Algorithms Artificial Intelligence Artificial Intelligence - trends Decision Making Guideline Adherence Guideline Adherence - standards Humans Nursing Informatics Program Development - methods Sepsis Sepsis - classification Sepsis - diagnosis Sepsis - nursing
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	to present the nurses' experience with technological tools to support the early identification of sepsis. experience report before and after the implementation of artificial intelligence algorithms in the clinical practice of a philanthropic hospital, in the first half of 2018. describe the motivation for the creation and use of the algorithm; the role of the nurse in the development and implementation of this technology and its effects on the nursing work process. technological innovations need to contribute to the improvement of professional practices in health. Thus, nurses must recognize their role in all stages of this process, in order to guarantee safe, effective and patient-centered care. In the case presented, the participation of the nurses in the technology incorporation process enables a rapid decision-making in the early identification of sepsis.
ISSN:	0034-7167 1984-0446
DOI:	10.1590/0034-7167-2018-0421