Incident monitoring in emergency departments: an Australian model.
The specialty-based study of incidents, adverse events, and errors in medicine has largely occurred in anesthesia and to a lesser extent in intensive care and psychiatry. Few studies have specifically addressed the problem in emergency medicine (EM). Because of the significant risks, the resulting adverse outcome, and the high degree of preventability of errors occurring in the emergency department (ED), it is essential that an incident monitoring system be part of the ED's risk management program. The combination of time pressure, uncertainty, complexity, and workload means the ED is a high-risk environment. The delivery of high-quality emergency care is dependent on having an effective patient processing system in place and, because EM is a "systems-dependent" specialty, the environment lends itself to improvements to the system (re-engineering) to improve the safety of the environment given that the majority of errors in the ED are probably the result of failures of the system. This paper describes an existing incident monitoring system that has recently been adopted by six EDs in Australia. It was developed as a result of a similar successful program in anesthesia, and funded by the Federal Department of Health of Australia. Incorporating incident monitoring and analysis to identify causative factors of incidents and the subsequent implementation of corrective strategies as part of the ED risk management program may result in improvement in the quality of care through a reduction in the frequency of incidents.
Vinen
J
J
Department of Emergency Medicine, Royal North Shore Hospital, Sydney, Australia. jvinen@med.usyd.edu.au
D001315:Australia; D015984:Causality; D004635:Emergency Medicine; D004636:Emergency Service, Hospital / Q000458:organization & administration* / Q000706:statistics & numerical data*; D005163:Factor Analysis, Statistical; D006801:Humans; D019300:Medical Errors / Q000517:prevention & control* / Q000706:statistics & numerical data*; D012308:Risk Management / Q000379:methods*; D012680:Sensitivity and Specificity; D018571:Sentinel Surveillance