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Impact of provider-led, technology-enabled radiology management program on imaging
Ivan K Ip1, Louise Schneider, Steven Seltzer
1Center for Evidence-Based Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02445, USA. iip@partners.org
The American Journal of Medicine
|June 22, 2013
Summary
A physician-led program using technology significantly reduced high-cost imaging like CT scans and nuclear cardiology by 12%. This radiology medical management approach improved care efficiency and reduced unnecessary procedures.
Area of Science:
- Radiology
- Health Informatics
- Healthcare Management
Background:
- High-cost imaging utilization presents a significant challenge in healthcare systems.
- Managing advanced imaging services like CT, MRI, and nuclear cardiology is crucial for cost containment.
- Provider-led initiatives are essential for effective medical management.
Purpose of the Study:
- To evaluate the effectiveness of a technology-enabled, provider-led radiology medical management program.
- To assess the program's impact on the utilization of high-cost imaging services.
- To determine if such a program can reduce inappropriate imaging orders.
Main Methods:
- Implementation of a physician-led radiology medical management program within an integrated healthcare system.
- Utilized a computerized physician order entry system with clinical decision support and accountability tools.
- Mandatory radiologist peer-to-peer consultations, practice pattern reports, and academic detailing were key components.
Main Results:
- A sustained 12.0% reduction in high-cost imaging intensity was observed over a 5-year period.
- Significant decreases were noted in computed tomography (CT) and nuclear cardiology studies per 1000 patient-months.
- Magnetic resonance imaging (MRI) utilization rates remained stable, indicating targeted impact.
Conclusions:
- Provider-led radiology medical management programs, when supported by health information technology, can significantly decrease high-cost imaging use.
- The integration of clinical decision support and accountability tools is effective in modifying provider behavior.
- This model demonstrates a viable strategy for optimizing advanced imaging resource allocation.
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