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

Measuring Adverse Events and Levels of Harm in Pediatric Inpatients With the Global Trigger Tool

(2012) E. S. Kirkendall et al.   PEDIATRICS

‘Global Trigger Tool’ Shows That Adverse Events In Hospitals May Be Ten Times Greater Than Previously Measured

(2011) David C. Classen et al.   HEALTH AFFAIRS

Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing

(2011) Harvey J. Murff et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Meaningful Use of Electronic Health Records in Otolaryngology

(2011) Subinoy Das et al.   OTOLARYNGOLOGY-HEAD AND NECK SURGERY

Identifying causes of adverse events detected by an automated trigger tool through in-depth analysis

(2010) S. E. Muething et al.   BMJ Quality & Safety

Automated detection of harm in healthcare with information technology: a systematic review

(2010) M. Govindan et al.   BMJ Quality & Safety

Underreporting of Patient Safety Incidents Reduces Health Care's Ability to Quantify and Accurately Measure Harm Reduction

(2010) Douglas J. Noble et al.   Journal of Patient Safety

A comparison of hospital adverse events identified by three widely used detection methods

(2009) J. M. Naessens et al.   INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE