Implementation of an Artificial Intelligence Algorithm for sepsis detection.

Autor:	Gonçalves LS; Universidade Federal do Paraná. Curitiba, Paraná, Brazil., Amaro MLM; Universidade Federal do Paraná. Curitiba, Paraná, Brazil., Romero ALM; Laura Desenvolvimento e Serviços de Inteligência Artificial. Curitiba, Paraná, Brazil., Schamne FK; Universidade Federal do Paraná. Curitiba, Paraná, Brazil., Fressatto JL; Laura Desenvolvimento e Serviços de Inteligência Artificial. Curitiba, Paraná, Brazil., Bezerra CW; Laura Desenvolvimento e Serviços de Inteligência Artificial. Curitiba, Paraná, Brazil.
Jazyk:	English; Portuguese
Zdroj:	Revista brasileira de enfermagem [Rev Bras Enferm] 2020 Apr 09; Vol. 73 (3), pp. e20180421. Date of Electronic Publication: 2020 Apr 09 (Print Publication: 2020).
DOI:	10.1590/0034-7167-2018-0421
Abstrakt:	Objectives: to present the nurses' experience with technological tools to support the early identification of sepsis. Methods: 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. Results: 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. Final Considerations: 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.
Databáze:	MEDLINE
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