Abstract
Introduction: The objective of this paper is to describe a manual annotation process to identify likely health information technology (IT) related patient safety event (PSE) reports and the descriptive analysis of the self-reported event type categories of the resulting likely health IT related events. Methods: 5287 PSE reports were manually coded as likely or unlikely related to health IT and the structured general and specific event type categories were analyzed. Results: Of the 2435 likely health IT related events, 1200 were categorized as medication error events, 709 described an error related to a procedure, treatment, or test, and the remaining events were distributed among 19 different general event types. Discussion: The variety of self-reported general and specific event categories indicates a potential need to provide additional support for individuals reporting events to capture contextual nuances and incorporating advanced techniques to assist researchers and safety officers in identifying health IT related events.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.