After receiving feedback from rural and critical access hospitals, the Joint Commission has elected not to implement certain aspects of proposed advanced certification requirements for CT technologists in new diagnostic imaging requirements set to take effect on September 1.
As a result of the changes to the new human resources elements of performance for accredited hospitals, critical access hospitals, and ambulatory care organizations, CT technologists will no longer be expected to have advanced-level certification in CT by January 1, 2018, in order to perform diagnostic CT studies, according to the Joint Commission. What's more, the Joint Commission has also decided to suspend implementation of a second new requirement that would have required organizations to demonstrate that CT technologists participate in education that prepares them to achieve advanced-level CT certification by January 1, 2018.
After publishing the new human resources elements of performance earlier this year, the Joint Commission said it received feedback from rural and critical access hospitals on the expectation to achieve advanced-level CT certification by January 2018.
"These customers communicated concerns about their ability to comply with the expectation for advanced-level CT certification and -- if this were to be required by 2018 -- the potential negative impact on patient access to CT services," the Commission wrote in the July issue of The Joint Commission Perspectives.




















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)