Using a quality improvement program that incorporates routinely collected radiology information system (RIS) data can reduce CT exam turnaround times and shorten daily operations, researchers have reported.
The findings could translate to practical workflow improvements in radiology departments struggling with overtime and staff fatigue, noted a team led by Shingo Kayano, PhD, of Tohoku University Hospital in Sendai, Miyagi, Japan. The group's results were published June 15 in the Japanese Journal of Radiology.
"Log-based monitoring provides a practical mechanism for continuous feedback and refinement of CT workflows in routine clinical practice," the group wrote.
Use of CT has risen in Japan, in part due to an aging population and in part due to technological advances in CT imaging. But with this increased use comes challenges such as lengthy waiting times -- both for appointments and on the exam day -- which can contribute to patient anxiety and diagnostic delays.
"CT section staff, including radiologists, nurses, and technologists, face unique challenges: high patient volumes and complex procedures during the examination frequently lead to overtime work," the authors wrote. "This leads to physical and mental exhaustion, potentially degrading quality of work and well-being."
The investigators analyzed 150,540 weekday CT exams performed between 2018 and 2022. They used a Kaizen framework -- a "continuous improvement methodology with origins in Japanese manufacturing" -- to test five sequential workflow interventions between January and February 2021, guided by action logs extracted from a RIS. The team tracked exam volume, day of the week, and inpatient proportion.
The five Kaizen interventions included the following:
The team reported these results after putting the interventions into place:
"Although causal attribution and downstream outcomes cannot be confirmed within [our study] design, the results suggest that routinely collected RIS logs can support performance monitoring and continuous quality improvement in CT operations," Kayano and colleagues concluded.
Access the full study here.
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