Related Experiment Videos
Surgical case listing accuracy: failure analysis at a high-volume academic medical center
Robert R Cima1, Curt Hale, Anantha Kollengode
1Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA. cima.robert@mayo.edu
Hypothesis:
Describe the incidence, type, and detection method of surgical listing errors and implement a system to reduce errors.
Design:
All errors/discrepancies between the surgical listing and the performed procedure reported to an institutional event line during 2008 were analyzed.
Setting:
Academic tertiary medical center.
Main Outcome Measures:
Error characteristics and detection mode were documented. An error causal tree analysis was developed and used to modify the standard listing process to reduce errors.
Results:
During 2008, 759 listing errors were reported of 55 197 surgical procedures for an error rate of 1.38%. No wrong-site surgeries occurred. The errors were missing laterality (501; 66%), incorrect side (108; 14%), incorrect listing besides laterality (86; 11%), and other (64; 9%). Identification/correction of the listing error occurred in the following areas: nursing review the evening prior to surgery (517; 68%), preoperative admission unit (132; 17%), operating room (98; 12%), recovery room (6; 0.8%), and other (6; 0.8%). Using a causal tree analysis, error-proofing strategies applied in an electronic standardized case listing system significantly reduced the error rate from 1.50% to 0.54% (P < .05) and 2.06% to 0.49% (P < .05) in gynecologic and colorectal surgery, respectively.
Conclusions:
Surgical listings errors occur with a low constant rate across specialties. The majorities of errors were related to laterality and were detected prior to surgery. An electronic listing system using standardized case descriptions with required laterality significantly reduced the error frequency.
