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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.

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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.