Catalina A. Vallejos

Oct 25, 2024 | nature.com | James Liley |Simon Rogers |Nathan Cunningham |Catalina A. Vallejos

Correction to: npj Digital Medicine https://doi.org/10.1038/s41746-024-01250-1, published online 23 October 2024In this article the affiliation details for Author Louis J. M. Aslett were incorrectly given as ‘2Alan Turing Institute, London, UK. 3MRCHuman Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.’ but should have been ‘1Department of Mathematical Sciences, Durham University, Durham, UK. 2Alan Turing Institute, London, UK’.

Oct 22, 2024 | nature.com | James Liley |Simon Rogers |Nathan Cunningham |Catalina A. Vallejos

AbstractEmergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and public health planning. Here, we introduce SPARRAv4, a predictive score for EA risk that will be deployed nationwide in Scotland.