Cultura de seguridad en salud, bioseguridad y ecoeficiencia en el Hospital Nacional Hipólito Unanue Lima. 2016

La presente investigación tuvo como objetivo general determinar el modelo de regresión logístico que describe la relación entre la cultura de seguridad en salud frente a la bioseguridad y ecoeficiencia en el Hospital Nacional Hipólito Unanue. Lima. 2016; la población está dada por 60 enfermeras del Servicio de Emergencia, la muestra considero toda la población, en los cuales se ha empleado las variables: cultura de seguridad en salud, bioseguridad y ecoeficiencia. El método empleado en la investigación fue el hipotético deductivo, esta investigación utilizó para su propósito el diseño no experimental de nivel correlacional causal (regresión logística), que recogió la información en un período específico, que se desarrolló al aplicar los instrumentos cuestionarios: cultura de seguridad en salud, bioseguridad y ecoeficiencia, todos en escala de Likert, cuyos resultados se presentan gráfica y textualmente. La investigación concluye que existe evidencia significativa para afirmar que: El modelo de regresión logístico estimado entre la cultura de seguridad en salud frente a la bioseguridad y ecoeficiencia es significativo en el Hospital Nacional Hipólito Unanue. Lima. 2016

Artificial intelligence in public management in times of Covid-19

The use of artificial intelligence has surpassed the academic approach, and transcends due to its benefits, which are oriented to the development of public management. This research was carried out with the purpose of analyzing artificial intelligence in public management in times of Covid-19, specifically addressing the relevance of opportunities, impact assessment and the great potential offered by artificial intelligence. The methodology that was used refers to a documentary review in the following scientific bases Scopus, Taylor & Francis, Wos, Ebsco and Scielo, which provides a broad and important overview of artificial intelligence and its impact on public management in times of crisis. pandemic. The results mark certain keys to design policies and strategies for the use of artificial intelligence in different contexts of public management, showing the benefits and challenges. It is concluded that the arrival of technological advances reveals the scope of technology to public management, a diversity of means or instruments for its efficiency and impact put into operation, giving support in the development of control systems that grant legality and generate democratizing processes. for public address

5G with Fog Computing based Privacy System in Data Analytics for Healthcare System by AI Techniques

Fog computing architecture is an extended version of the cloud computing architecture to reduce the load of the data transmission and storage in the cloud platform. The architecture of the fog increases the performance with improved efficiency compared with the cloud environment. The fog computing architecture uses the 5G based Artificial Intelligence (AI) technology for performance enhancement. However, due to vast range of data availability privacy is challenging in the fog environment. This paper proposed a Medical Fog Computing Load Scheduling (MFCLS) model for data privacy enhancement. The developed architecture model of optimization-based delay scheduling for task assignment in the fog architecture. The healthcare data were collected and processed with the 5G technology. The developed MFCLS model uses the entropy-based feature selection for the healthcare data. The proposed MFCLS considers the total attributes of 13 for the evaluation of features. With the provision of service level violation, the fog computing network architecture will be provided with reduced energy consumption. The developed load balancing reduced the service violation count with the provision of desired data privacy in the fog model. The estimation of the time frame is minimal for the proposed MFCLS model compared with the existing DAG model. The performance analysis expressed that SLRVM and ECRVM achieved by the proposed MFCLS are 28 and 43 respectively. The comparative examination of the proposed MFCLS model with the existing DAG model expressed that the proposed model exhibits ~6% performance enhancement in the data privacy for the healthcare data

Cultura de seguridad en salud, bioseguridad y ecoeficiencia en el Hospital Nacional Hipólito Unanue Lima. 2016

La presente investigación tuvo como objetivo general determinar el modelo de regresión logístico que describe la relación entre la cultura de seguridad en salud frente a la bioseguridad y ecoeficiencia en el Hospital Nacional Hipólito Unanue. Lima. 2016; la población está dada por 60 enfermeras del Servicio de Emergencia, la muestra considero toda la población, en los cuales se ha empleado las variables: cultura de seguridad en salud, bioseguridad y ecoeficiencia. El método empleado en la investigación fue el hipotético deductivo, esta investigación utilizó para su propósito el diseño no experimental de nivel correlacional causal (regresión logística), que recogió la información en un período específico, que se desarrolló al aplicar los instrumentos cuestionarios: cultura de seguridad en salud, bioseguridad y ecoeficiencia, todos en escala de Likert, cuyos resultados se presentan gráfica y textualmente. La investigación concluye que existe evidencia significativa para afirmar que: El modelo de regresión logístico estimado entre la cultura de seguridad en salud frente a la bioseguridad y ecoeficiencia es significativo en el Hospital Nacional Hipólito Unanue. Lima. 2016

Artificial intelligence in public management in times of Covid-19

The use of artificial intelligence has surpassed the academic approach, and transcends due to its benefits, which are oriented to the development of public management. This research was carried out with the purpose of analyzing artificial intelligence in public management in times of Covid-19, specifically addressing the relevance of opportunities, impact assessment and the great potential offered by artificial intelligence. The methodology that was used refers to a documentary review in the following scientific bases Scopus, Taylor & Francis, Wos, Ebsco and Scielo, which provides a broad and important overview of artificial intelligence and its impact on public management in times of crisis. pandemic. The results mark certain keys to design policies and strategies for the use of artificial intelligence in different contexts of public management, showing the benefits and challenges. It is concluded that the arrival of technological advances reveals the scope of technology to public management, a diversity of means or instruments for its efficiency and impact put into operation, giving support in the development of control systems that grant legality and generate democratizing processes. for public address

Tele-education and adaptive behavior with autism spectrum disorder, in children from 1 to 5 years old

This research aims to determine the relationship between tele-education and adaptive behavior in autism spectrum disorder in children aged 1 to 5 years. To do this, a cross-sectional, descriptive and correlative non-experimental design study was carried out, the study population consisted of 120 people, and the sample was of a non-probabilistic census type. For data collection, a tele-education survey and an adaptive behavior survey were produced, both with high levels of reliability. Statistical treatment included connection tables, bar graph, analysis and interpretation. For validation, we used Spearman's confirmation coefficient, Rs=0.730, which shows a high positive confirmation with p=0.003. Therefore, it is concluded that in the National Institute of Rehabilitation-Chorrillos there is a significant relationship between tele-education and adaptive behavior in children from 1 to 5 years old