RESUMEN
The current study evaluated the effectiveness of a workshop designed to provide nurses (n = 6) with the means to improve their situation awareness. The nurses participated in a full-day workshop in which their situation awareness performance was measured before and after using the Situation Awareness Global Assessment Technique. Following the workshop, nurses demonstrated improvement in their perception of relevant cues, comprehension of what the combination of cues means, and projection of the patient's future status. The implications of situation awareness education for health-care professionals are discussed.
Asunto(s)
Competencia Clínica/normas , Curriculum , Educación Continua en Enfermería/organización & administración , Personal de Enfermería en Hospital/educación , Seguridad del Paciente/normas , Guías de Práctica Clínica como Asunto , Desarrollo de Personal/organización & administración , Adulto , Femenino , Humanos , Masculino , Persona de Mediana EdadAsunto(s)
Cromosomas Humanos/genética , Cromosomas/genética , Pan troglodytes/genética , Sustitución de Aminoácidos , Animales , Secuencia de Bases , ADN/genética , Evolución Molecular , Expresión Génica , Genoma , Genoma Humano , Humanos , Datos de Secuencia Molecular , Regiones Promotoras Genéticas , Proteínas/genética , Receptor de Interferón alfa y beta , Receptores de Interferón/genética , Homología de Secuencia de Ácido Nucleico , Especificidad de la EspecieRESUMEN
Large, publicly available collections of expressed sequence tags (ESTs) have been generated from Arabidopsis thaliana and rice (Oryza sativa). A potential, but relatively unexplored application of this data is in the study of plant gene expression. Other EST data, mainly from human and mouse, have been successfully used to point out genes exhibiting tissue- or disease-specific expression, as well as for identification of alternative transcripts. In this report, we go a step further in showing that computer analyses of plant EST data can be used to generate evidence of correlated expression patterns of genes across various tissues. Furthermore, tissue types and organs can be classified with respect to one another on the basis of their global gene expression patterns. As in previous studies, expression profiles are first estimated from EST counts. By clustering gene expression profiles or whole cDNA library profiles, we show that genes with similar functions, or cDNA libraries expected to share patterns of gene expression, are grouped together. Promising uses of this technique include functional genomics, in which evidence of correlated expression might complement (or substitute for) those of sequence similarity in the annotation of anonymous genes and identification of surrogate markers. The analysis presented here combines the application of a correlation-based clustering method with a graphical color map allowing intuitive visualization of patterns within a large table of expression measurements.
