Exploring the role of pathology test results in the prediction of remaining days of hospitalisation

Blanca Gallego*, Oscar Perez-Concha, Frank Lin, Enrico Coiera

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Accurate prediction of discharge time and identification of patients at risk of extended length of stay (LOS) can facilitate discharge planning and positively impact both the patient and the hospital in a variety of ways. To date, however, most studies only focus on the prediction of the overall LOS, which is generally estimated at admission time to hospital, emergency department or intensive care unit. This paper explores whether individual laboratory results can improve predictions of time of discharge as the tests become available. This study suggests that there is a statistically significant relationship between individual test results and remaining days in hospital and that there is a trend towards better estimates as more consecutive tests are taken into consideration. Their effect on the estimate of discharge time is generally weak. Further work integrating groups of test results into a more sophisticated dynamical model is required.

Original languageEnglish
Title of host publicationHealth Informatics: Building a Healthcare Future Through Trusted Information - Selected Papers from the 20th Australian National Health Informatics Conference, HIC 2012
EditorsAnthony J. Maeder, Fernando J. Martin-Sanchez
Place of PublicationAmsterdam
PublisherIOS Press
Pages45-50
Number of pages6
Volume178
ISBN (Print)9781614990772
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event20th Australian National Health Informatics Conference, HIC 2012 - Sydney, NSW, Australia
Duration: 30 Jul 20122 Aug 2012

Other

Other20th Australian National Health Informatics Conference, HIC 2012
CountryAustralia
CitySydney, NSW
Period30/07/122/08/12

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  • Cite this

    Gallego, B., Perez-Concha, O., Lin, F., & Coiera, E. (2012). Exploring the role of pathology test results in the prediction of remaining days of hospitalisation. In A. J. Maeder, & F. J. Martin-Sanchez (Eds.), Health Informatics: Building a Healthcare Future Through Trusted Information - Selected Papers from the 20th Australian National Health Informatics Conference, HIC 2012 (Vol. 178, pp. 45-50). Amsterdam: IOS Press. https://doi.org/10.3233/978-1-61499-078-9-45