The effect of workload on nurses' non-observance errors in medication administration processes: A cross-sectional study.

Aim: This study, based on actual medical error cases involving nurses, sought to identify non-observance errors-defying the standard operating procedures-in medication administration processes, and clarify the relationship between nursing workload and such behaviours.

Methods: Based on a cross-sectional survey, non-observance error cases were collected from three Japanese hospitals between January and December 2014, using self-reported data from participating nurses. Standard operating procedures and actual error content were compared to identify non-observance errors and workload.

Applying Intelligent Algorithms to Automate the Identification of Error Factors.

Objectives: Medical errors are the manifestation of the defects occurring in medical processes. Extracting and identifying defects as medical error factors from these processes are an effective approach to prevent medical errors. However, it is a difficult and time-consuming task and requires an analyst with a professional medical background.