Teoría de tornarse humano para la clasificación terminológica de la enfermería del trabajo

Objetivo: estruturar um subconjunto terminológico para a enfermagem do trabalho, com base teórica a identificação de termos relacionados com a enfermagem nos protocolos de saúde ambiental e do trabalhador e na Classificação Internacional para a Prática de Enfermagem. Método: estudo metodológico contendo as etapas de normalização de conceitos e estruturação do subconjunto terminológico da Classificação Internacional para a Prática de Enfermagem para Enfermagem do Trabalho, sustentado pela Teoria de Tornar-se Humano. Resultados: foram elaborados termos diagnósticos/resultados novos e distribuídos todos aqueles existentes na Classificação Internacional para a Prática de Enfermagem 2015. Embora os resultados desta pesquisa remetam à ênfase nos cuidados assistenciais individuais, os conceitos apresentados propuseram novas maneiras de interagir, inserindo a perspectiva da avaliação do enfermeiro do trabalho na tríade ambiente, indivíduo e medidas de promoção da saúde e estilo de vida saudáveis. Conclusão: o subconjunto proposto instrumentaliza a sistematização da assistência de enfermagem do trabalho, possibilita a avaliação da situação de saúde dos trabalhadores, gera estatísticas, bem como colabora com o desenvolvimento de políticas de saúde e com o planejamento do cuidado.Objective: to structure a terminological subgroup for occupational health nursing based on the identification of nursing-related terms in the environmental and occupational health protocols and in the International Classification for Nursing Practice. Method: a methodological study was undertaken, involving the standardization of concepts and structuring of the terminological subgroup of the International Classification for Nursing Practice for Occupational Health Nursing, based on the Theory of Human Becoming. Results: new diagnostic terms/outcomes were elaborated and all existing terms/outcomes in the International Classification for Nursing Practice 2015 were distributed. Although these research results emphasize individual care, the concepts presented proposed new ways of interacting, inserting the perspective of the occupational health nurse’s assessment in the triad environment, individual and measures to promote health and healthy lifestyles. Conclusion: the proposed subgroup uses the systemization of occupational health nursing care to permit the assessment of the workers’ health situation, produce statistics and contribute to the development of health policies and care planning.Objetivo: estructurar un subconjunto terminológico para la enfermería del trabajo con base teórica a partir de la identificación de términos relacionados con la enfermería en los protocolos de salud ambiental y del trabajador y en la Clasificación Internacional para la Práctica de Enfermería. Método: estudio metodológico que contiene las etapas de normalización de conceptos y estructuración del subconjunto terminológico de la Clasificación Internacional para la Práctica de Enfermería para Enfermería del Trabajo, sostenido por Teoría de tornarse en Humano. Resultados: se elaboraron términos diagnósticos/resultados nuevos y distribuidos todos aquellos existentes en la Clasificación Internacional para la Práctica de Enfermería 2015. Aunque los resultados de esta investigación remiten al énfasis en los cuidados asistenciales individuales, los conceptos presentados propusieron nuevas maneras de interactuar, insertando la perspectiva de la evaluación del enfermero en la tríade ambiente, individuo y las medidas de promoción de la salud y estilo de vida saludables. Conclusión: el subconjunto propuesto instrumentaliza la sistematización de la asistencia de enfermería del trabajo, posibilita la evaluación de la situación de salud de los trabajadores, genera estadísticas, así como colabora con el desarrollo de políticas de salud y con la planificación del cuidado

Doctor of Philosophy

dissertationOver 40 years ago, the first computer simulation of a protein was reported: the atomic motions of a 58 amino acid protein were simulated for few picoseconds. With today's supercomputers, simulations of large biomolecular systems with hundreds of thousands of atoms can reach biologically significant timescales. Through dynamics information biomolecular simulations can provide new insights into molecular structure and function to support the development of new drugs or therapies. While the recent advances in high-performance computing hardware and computational methods have enabled scientists to run longer simulations, they also created new challenges for data management. Investigators need to use local and national resources to run these simulations and store their output, which can reach terabytes of data on disk. Because of the wide variety of computational methods and software packages available to the community, no standard data representation has been established to describe the computational protocol and the output of these simulations, preventing data sharing and collaboration. Data exchange is also limited due to the lack of repositories and tools to summarize, index, and search biomolecular simulation datasets. In this dissertation a common data model for biomolecular simulations is proposed to guide the design of future databases and APIs. The data model was then extended to a controlled vocabulary that can be used in the context of the semantic web. Two different approaches to data management are also proposed. The iBIOMES repository offers a distributed environment where input and output files are indexed via common data elements. The repository includes a dynamic web interface to summarize, visualize, search, and download published data. A simpler tool, iBIOMES Lite, was developed to generate summaries of datasets hosted at remote sites where user privileges and/or IT resources might be limited. These two informatics-based approaches to data management offer new means for the community to keep track of distributed and heterogeneous biomolecular simulation data and create collaborative networks