An evaluation of departmental radiation oncology incident reports: anticipating a national reporting system

Int J Radiat Oncol Biol Phys. 2013 Mar 15;85(4):919-23. doi: 10.1016/j.ijrobp.2012.09.013. Epub 2012 Dec 19.

Abstract

Purpose: Systems to ensure patient safety are of critical importance. The electronic incident reporting systems (IRS) of 2 large academic radiation oncology departments were evaluated for events that may be suitable for submission to a national reporting system (NRS).

Methods and materials: All events recorded in the combined IRS were evaluated from 2007 through 2010. Incidents were graded for potential severity using the validated French Nuclear Safety Authority (ASN) 5-point scale. These incidents were categorized into 7 groups: (1) human error, (2) software error, (3) hardware error, (4) error in communication between 2 humans, (5) error at the human-software interface, (6) error at the software-hardware interface, and (7) error at the human-hardware interface.

Results: Between the 2 systems, 4407 incidents were reported. Of these events, 1507 (34%) were considered to have the potential for clinical consequences. Of these 1507 events, 149 (10%) were rated as having a potential severity of ≥2. Of these 149 events, the committee determined that 79 (53%) of these events would be submittable to a NRS of which the majority was related to human error or to the human-software interface.

Conclusions: A significant number of incidents were identified in this analysis. The majority of events in this study were related to human error and to the human-software interface, further supporting the need for a NRS to facilitate field-wide learning and system improvement.

Publication types

  • Evaluation Study

MeSH terms

  • Communication Barriers
  • Computer Peripherals / statistics & numerical data
  • Hospital Information Systems / statistics & numerical data*
  • Humans
  • Medical Errors / classification*
  • Medical Errors / statistics & numerical data
  • Patient Safety*
  • Radiation Oncology / statistics & numerical data*
  • Radiology Information Systems / statistics & numerical data
  • Risk Management / classification*
  • Risk Management / statistics & numerical data
  • Software
  • User-Computer Interface