Keywords:
Performed at one institution, Observational, Not applicable, Education and training, Computer Applications-General, Image manipulation / Reconstruction, CT, Radiographers, Professional issues, Education and Training
Authors:
C. Zorn, E. Bauer, G. Bierry, P. Choquet, J.-P. Dillenseger; Strasbourg/FR
DOI:
10.26044/ecr2020/C-04616
Purpose
The learning curve was conceptualized and popularized in 1936 by the American aeronautical engineer, Theodore Paul Wright (1). Its first use was to estimate the consequences of the serial production of an aircraft on its unit cost, using a graphical representation of the cost as a function of the number of aircraft manufactured. The repetition of the same task by workers, improves their performance and leads to a reduction in time, effort and therefore cost per unit produced. However, a learning period is necessary to achieve the best results (2). Since then, learning curves have been used in other sectors such as health to improve and homogenize the quality of care (3): eg. in surgery to reduce the operating time and the rate of postoperative complications (4-5), in intensive care for technical procedures such as intubation (6-7), or in medical imaging for image interpretation (8). These learning curves are commonly published in the sectors mentioned (4-8); however, they are rarely used in initial training learning situations (9). This study aims to construct learning curves related to the realization of standardized CT post-processing protocols by radiographer students and to discuss their exploitation and interest (Fig 1).