Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS).

CONCLUSIONS: EHR data can generate clinically plausible mortality predictive models with excellent discrimination. ALaRMS uses automated laboratory data widely available on admission, providing opportunities to aid real-time decision support. Models that incorporate laboratory and AHRQ's CCS and CS variables have utility for risk adjustment in retrospective outcome studies. PMID: 24097807 [PubMed - as supplied by publisher]

http://www.ncbi.nlm.nih.gov/pubmed/24097807?dopt=Abstract

Source: Journal of the American Medical Informatics Association - October 4, 2013 Category: Information Technology Authors: Tabak YP, Sun X, Nunez CM, Johannes RS Tags: J Am Med Inform Assoc Source Type: research