Workload Assessment and Human Error Identification During the Task of Taking a Plain Abdominal Radiograph: A Case Study

  • Cesar Alferez-Padron
  • Aide Aracely Maldonado-MacíasEmail author
  • Jorge García-Alcaraz
  • Liliana Avelar-Sosa
  • Arturo Realyvasquez-Vargas
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 586)


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.


Radiology technician Hierarchical task analysis Mental workload assessment NASA task load index Human error identification Task Analysis for Error Identification 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Cesar Alferez-Padron
    • 1
  • Aide Aracely Maldonado-Macías
    • 1
    Email author
  • Jorge García-Alcaraz
    • 1
  • Liliana Avelar-Sosa
    • 1
  • Arturo Realyvasquez-Vargas
    • 2
  1. 1.Autonomous University Ciudad JuárezJuarez CityMexico
  2. 2.Technological Institute of TijuanaTijuanaMexico

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