Skip to main content
Study

Automated identification of extreme-risk events in clinical incident reports.

Ong M-S, Magrabi F, Coiera E. Automated identification of extreme-risk events in clinical incident reports. J Am Med Inform Assoc. 2012;19(e1):e110-8.

Save
Print
February 8, 2012
Ong M-S, Magrabi F, Coiera E. J Am Med Inform Assoc. 2012;19(e1):e110-8.

Incident reports can yield useful information about safety problems, but manual review of all voluntary error reports is time intensive and often low yield. This study reports on the use of informatics technology to screen incident reports in order to identify high-severity safety problems.

Save
Print
Cite
Citation

Ong M-S, Magrabi F, Coiera E. Automated identification of extreme-risk events in clinical incident reports. J Am Med Inform Assoc. 2012;19(e1):e110-8.