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Improving MRI Access: A framework for optimizing MRI scheduling templates.
Andrew Leung1, Jisla Mathews1, Mackenzie Crawford1
1Joint Department of Medical Imaging, University Health Network, 190 Elizabeth St. Toronto, ON M5G 2C4 Canada.
Journal of Medical Imaging and Radiation Sciences
|October 20, 2022
Summary
Optimizing MRI schedules improved patient access by aligning capacity with demand, reducing schedule misalignment from 11% to 3%. This framework enhances radiology department efficiency and equitable care for all patient groups.
Area of Science:
- Radiology and Medical Imaging
- Healthcare Operations Management
- Health Services Research
Background:
- Ensuring equitable and timely care in radiology requires aligning imaging capacity with patient demand.
- The Joint Department of Medical Imaging (JDMI) identified a need to optimize Magnetic Resonance Imaging (MRI) scheduling.
Purpose of the Study:
- To implement a 5-step framework for reviewing and updating MRI schedule templates at JDMI.
- To achieve optimal alignment between MRI scheduling and patient demand across diverse populations.
Main Methods:
- A 5-step process involving baseline data analysis, current state assessment through interviews and observations, schedule updates, process improvement review, and go-live planning.
- Stakeholder governance by clinical, clerical, and operational leadership.
Main Results:
- Initial analysis revealed up to 11% misalignment between MRI schedules and demand in certain divisions.
- Updated schedules reduced variance from demand to a maximum of 3%.
- 27 additional inpatient MRI slots were allocated, and process improvements were implemented for scheduling and workflow management.
Conclusions:
- The MRI Schedule Optimization project successfully realigned schedules with patient needs, improving access and efficiency at JDMI.
- The implemented 5-step framework is adaptable for schedule optimization in other radiology departments.
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