Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care.

CONCLUSIONS: Automated AE/ME detection algorithms provide higher sensitivity and PPV than currently used trigger tools or voluntary incident-reporting systems, including identification of potential dosing and frequency errors that current methods are unequipped to detect. PMID: 24401171 [PubMed - as supplied by publisher]

http://www.ncbi.nlm.nih.gov/pubmed/24401171?dopt=Abstract

Source: Journal of the American Medical Informatics Association - January 8, 2014 Category: Information Technology Authors: Li Q, Melton K, Lingren T, Kirkendall ES, Hall E, Zhai H, Ni Y, Kaiser M, Stoutenborough L, Solti I Tags: J Am Med Inform Assoc Source Type: research