Using Active Learning to Identify Health Information Technology Related Patient Safety Events.
The widespread adoption of health information technology (HIT) has led to new patient safety hazards that are often difficult to identify. Patient safety event reports, which are self-reported descriptions of safety hazards, provide one view of potential HIT-related safety events. However, identifying HIT-related reports can be challenging as they are often categorized under other more predominate clinical categories. This challenge of identifying HIT-related reports is exacerbated by the increasing number [...]
Author(s): Fong, Allan, Howe, Jessica L, Adams, Katharine T, Ratwani, Raj M
DOI: 10.4338/ACI-2016-09-CR-0148