PURPOSE: A key radiology stakeholder demand is to increase patient access to computed tomography (CT) and reduce waiting lists. However, the number of patients that a single technologist can scan is limited because of the many tasks required to process a patient through a CT scan. However, many tasks could be performed simultaneously by using additional personnel. This study evaluated how many additional patients can be scanned using a 2- or 3-technologist model with outpatient multidetector CT and its impact on CT capacity. METHODS: The number and type of individual technologist tasks were initially evaluated. The time to perform these tasks was then measured using 1-, 2-, and 3-technologist models, including the time a patient was within the CT scanner room, to determine the hourly patient throughput on a CT scanner. Two theoretic CT operations were then developed to evaluate the impact on CT capacity. RESULTS: Thirty-four technologist workflow tasks were identified. A total of 205 outpatients were evaluated. The total time to perform all tasks for 1-, 2-, and 3-technologist models was 27, 23, and 22 minutes, respectively. CT room time per patient for 1-, 2-, and 3-technologist models was 12, 9.7, and 8.0 minutes, respectively. However, the number of patients scanned per hour for 1-, 2-, and 3-technologist models was 2.2, 5.2, and 7.5, respectively. There was an increase of more than 12,000 potential patient CT slots made available using 2 technologists 7 days per week and 22,000 additional slots for a 3-technologist model when compared with a single-technologist model on weekdays only. CONCLUSION: A single-technologist model for outpatient multidetector CT is inefficient with limited opportunity for increased patient throughput. The use of multiple technologists (or other key personnel) optimizes CT throughput and capacity, particularly with a 3-technologist model, which can yield a greater than three-fold increase in CT productivity.
PURPOSE: A key radiology stakeholder demand is to increase patient access to computed tomography (CT) and reduce waiting lists. However, the number of patients that a single technologist can scan is limited because of the many tasks required to process a patient through a CT scan. However, many tasks could be performed simultaneously by using additional personnel. This study evaluated how many additional patients can be scanned using a 2- or 3-technologist model with outpatient multidetector CT and its impact on CT capacity. METHODS: The number and type of individual technologist tasks were initially evaluated. The time to perform these tasks was then measured using 1-, 2-, and 3-technologist models, including the time a patient was within the CT scanner room, to determine the hourly patient throughput on a CT scanner. Two theoretic CT operations were then developed to evaluate the impact on CT capacity. RESULTS: Thirty-four technologist workflow tasks were identified. A total of 205 outpatients were evaluated. The total time to perform all tasks for 1-, 2-, and 3-technologist models was 27, 23, and 22 minutes, respectively. CT room time per patient for 1-, 2-, and 3-technologist models was 12, 9.7, and 8.0 minutes, respectively. However, the number of patients scanned per hour for 1-, 2-, and 3-technologist models was 2.2, 5.2, and 7.5, respectively. There was an increase of more than 12,000 potential patient CT slots made available using 2 technologists 7 days per week and 22,000 additional slots for a 3-technologist model when compared with a single-technologist model on weekdays only. CONCLUSION: A single-technologist model for outpatient multidetector CT is inefficient with limited opportunity for increased patient throughput. The use of multiple technologists (or other key personnel) optimizes CT throughput and capacity, particularly with a 3-technologist model, which can yield a greater than three-fold increase in CT productivity.
Authors: Timothy P Szczykutowicz; Christina L Brunnquell; Gregory D Avey; Carrie Bartels; Daryn S Belden; Richard J Bruce; Aaron S Field; Walter W Peppler; Peter Wasmund; Gary Wendt Journal: J Digit Imaging Date: 2018-04 Impact factor: 4.056