WorldCIST'15 - 3rd World Conference on Information Systems and Technologies

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The Length of Hospital Stay in Acute Myocardial Infarction: A Predictive Model with Laboratory and Administrative Data

Introduction: The length of hospital stay (LOS), combined with the quality of treatment, is an important measure of efficiency in the use of hospital resources. Acute Myocardial Infarction (AMI), as one of the diseases with higher mortality and LOS variability in the OECD countries, has been studied with predominant use of administrative data (AD). This paper presents preliminary results of a predictive model for LOS using both AD and laboratory data (LD) in order to develop a decision support system. Methods: LD and AD of a Portuguese hospital were included, using logistic regression to develop a predictive model for extended LOS. To show how model works, an example with three individual patients was performed. Results: A model with two LD and six AD variables, with acceptable discriminative ability and a good calibration, was obtained. Increasing age, presence of comorbidities and abnormal LD predict a higher probability of extended LOS.

Author(s):

Teresa Magalhães    
Grupo de Disciplinas/Departamento de Gestão de Organizações e Serviços de Saúde. Centro de Investigação em Saúde Pública. Escola Nacional de Saúde Pública. Universidade Nova de Lisboa. Lisboa. Portugal
Portugal

Sílvia Lopes    
Grupo de Disciplinas/Departamento de Gestão de Organizações e Serviços de Saúde. Centro de Investigação em Saúde Pública. Escola Nacional de Saúde Pública. Universidade Nova de Lisboa. Lisboa. Portugal
Portugal

João Gomes    
Centro de Matemática e Aplicações Fundamentais, Faculdade de Ciências da Universidade de Lisboa
Portugal

Filipe Seixo    
Centro Hospitalar de Setúbal
Portugal

 

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