Optimizing efficiency in CT services: a data-driven approach using action logs from the radiology information system.

Area of Science:

• Radiology and Medical Imaging
• Healthcare Operations Management
• Quality Improvement Science

Background:

• Continuous quality improvement (KAIZEN) is crucial for optimizing healthcare operations.
• Radiology Information Systems (RIS) generate valuable data logs for workflow analysis.
• Previous studies have explored workflow optimization in CT departments.

Purpose of the Study:

• To assess the impact of RIS action log-guided KAIZEN on CT operational efficiency.
• To determine if KAIZEN interventions could reduce CT examination and patient turnover times.
• To evaluate the effect on the completion time of daily CT operations.

Main Methods:

• A single-center retrospective before-and-after study analyzed 150,540 weekday CT examinations (2018-2022).
• Five workflow interventions were implemented sequentially in early 2021.
• Segmented interrupted time-series regression analyzed median examination time, patient entry/exit time, and final CT completion time.

Main Results:

• Median CT examination time decreased by 17.37 seconds (adjusted, p=0.015).
• Patient entry/exit time decreased by 15.99 seconds (adjusted, p<0.001).
• The final weekday CT examination concluded 12.49 minutes earlier (p=0.011).

Conclusions:

• RIS action log-guided KAIZEN is associated with improved CT operational efficiency.
• The methodology demonstrated reduced examination times and earlier workflow completion.
• Routine log-based workflow monitoring is supported for CT departments.