Dynamic prediction of hospital length of stay, readmission, and death

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/1045548

Funding Status
Closed

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Funded Activity Summary

Healthcare systems are under increasing pressure to improve the appropriateness and effectiveness of current patterns of care. The aim of this project is to develop a dynamic predictive method that, at any time during hospitalisation, calculates days expected to be in hospital, days expected to live and days expected until next hospitalisation. Rapidly identifying patients at most risk has great potential to improve the quality of care and reduce avoidable harm and costs associated with admission.

Funded Activity Details

Start Date: 01-01-2013

End Date: 01-01-2016

Funding Scheme: Project Grants

Funding Amount: $322,821.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Health Information Systems (incl. Surveillance)

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

cancer treatment | health care delivery | health care utilisation | hospitals | infectious diseases | length of stay | modelling | mortality | readmission rates

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