grant

Dynamic prediction of hospital length of stay, readmission, and death [ 2013 - 2016 ]

Research Grant

[Cite as https://purl.org/au-research/grants/nhmrc/1045548]

Researchers: Dr Blanca Gallego Luxan (Principal investigator) ,  Prof Fernando Martin-Sanchez Prof Kenneth Hillman

Brief description 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.

Funding Amount $AUD 322,821.22

Funding Scheme Project Grants

Notes Standard Project Grant

Click to explore relationships graph
Identifiers
Viewed: [[ro.stat.viewed]]