Implementation of an Artificial Intelligence Algorithm for sepsis detection.

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.

Implementation of an Artificial Intelligence Algorithm for sepsis detection / Implantación de Algoritmo de Inteligencia Artificial para la detección de la sepsis / Implantação de algoritmo de inteligência artificial para detecção da sepse

ABSTRACT 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.

RESUMEN Objetivos: presentar la experiencia de enfermeros con innovaciones tecnológicas computacionales en el apoyo a la identificación precoz de la sepsis. Métodos: relato de experiencia de pre y post implantación de algoritmos basados en inteligencia artificial para la práctica clínica en un hospital filantrópico, en el primer semestre de 2018. Resultados: describen la motivación para la creación y uso del algoritmo; el papel del enfermero en el desarrollo e implantación de esa tecnología y sus efectos en el proceso de trabajo de la enfermería. Consideraciones Finales: las innovaciones tecnológicas necesitan contribuir a la mejora de las prácticas profesionales en salud, así que los enfermeros deben reconocer su papel en todas las etapas de este proceso, con el fin de garantizar el cuidado seguro, efectivo, centrado en el paciente. En el caso presentado, la participación de los enfermeros en el proceso de incorporación tecnológica potencializa la rápida toma de decisión en la identificación precoz de la sepsis.

RESUMO Objetivos: apresentar a experiência de enfermeiros com inovações tecnológicas computacionais no apoio à identificação precoce da sepse. Métodos: relato de experiência de pré e pós-implantação de algoritmos baseados em inteligência artificial para a prática clínica em um hospital filantrópico, no primeiro semestre de 2018. Resultados: descrevem a motivação, para criação e uso do algoritmo, o papel do enfermeiro no desenvolvimento e na implantação dessa tecnologia e os seus efeitos no processo de trabalho da enfermagem. Considerações Finais: inovações tecnológicas precisam contribuir para a melhoria das práticas profissionais em saúde. Assim, enfermeiros devem reconhecer seu papel em todas as etapas desse processo, de modo a garantir o cuidado seguro, efetivo, centrado no paciente. No caso apresentado, a participação dos enfermeiros no processo de incorporação tecnológica potencializa a rápida tomada de decisão na identificação precoce da sepse.

Sepsis risk assessment: a retrospective analysis after a cognitive risk management robot (Robot Laura®) implementation in a clinical-surgical unit

Abstract Introduction This study aimed at evaluating the impact of the implementation of a cognitive robot (Robot Laura™) on processes related to the identification and care of patients with risk of sepsis in a clinical-surgical unit of a private hospital in Curitiba-PR. Methods The study data were obtained from the retrospective review of medical records of patients identified with infection and/or sepsis, in the period of six months before and after the implementation of such technology in the hospital. In addition, the Average Attendance Time (AAT) was obtained from the autonomous reading of the robot. Results The average time/median until antibiotic prescription from the first identified sign of infection, with or without sepsis, was 390/77 and 109/58 minutes, respectively, in the six months before and after implementation of the technology. However, this difference was not statistically significant (p = 0.85). Regarding AAT, it was possible to observe a reduction from 305 to 280 minutes when comparing the periods of six months before and after the implementation of the technology (p = 0.02). Conclusion Technologies such as this may be promising in helping healthcare professionals to identify risky situations for patients, as well as in assisting them to optimize the care required. However, further studies, with a greater number of subjects and with different scenarios, are necessary to consistently validate the results found.