SciELO - Scientific Electronic Library Online

 
vol.5 issue2Web application for pharmacokinetic studies, version 2.0Web data base system for the advisement of the provincial commissions of tuberculosis author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista Cubana de Informática Médica

On-line version ISSN 1684-1859

Abstract

PEGUERO PEREZ, Rolando et al. Statistics analysis of quality indicators of the hospital "Dr. Joaquín Castillo Duany". RCIM [online]. 2013, vol.5, n.2, pp. 132-142. ISSN 1684-1859.

The present investigation was done at the intensive care unit of the hospital "Dr. Joaquín Castillo Duany" in Santiago de Cuba. Multivariate analysis is applied in order to determine and apply a scientific econometric model that helps to estimate and evaluate quality costs, this model will contribute significantly on obtaining a better health service in the hospital. The investigation helps the general fundamental theory upon the quality cost and the application of the canonical correlation as a very potent and little exploited multivariate technique using the principal pillars of the econometrics as an applied science. The indicators of quality and efficiency with the final statistics has permitted us to obtain a mathematical model that permits the estimation of quality cost in the service selected. The above mentioned model application has permitted us to quantify and evaluate the conduct of the quality cost, making it a great utility to generalise to other entity services which constitutes a tool for improve decision making in relation with the cost of quality. It also benefits the evaluation of efficiency level in the health service.

Keywords : multivariate analysis; simple regression; homoskedasticity; autocorrelation; econometric model; normality.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License