Workload assessment and human error identification during the task of taking a plain abdominal radiograph: A case study

Abstract

The following research, presents a case study of cognitive analyses of the tasks made by radiology technicians in a Mexican hospital. These professionals attend patients with different health conditions; likewise, they need to prepare the x-ray machine and position the patient correctly. For this reason, this study will determine the mental workload assessment and identify human errors of the procedure of taking a plain abdominal radiography. As results, a hierarchical task analysis diagram is presented, NASA TLX method found highest scores on physical and temporary demands. Recurrent human errors were the incorrect voltage and amperage adjustment and the incorrect identification of the patient using TAFEI method. Action for human error prevention is recommended. In addition, some digital support may be required to input patient’s data and provide additional training sessions on those tasks with the greater mental workload and human error probability.