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Podcast: A Meaningful Use Success Story
Randy Hicks, MD, and Carrie Berlin discuss how Regional Medical Imaging successfully met the criteria for the federal government’s meaningful use program, becoming an early adopter among radiology practices.
[[{"type":"media","view_mode":"media_crop","fid":"11557","attributes":{"alt":"","class":"media-image media-image-left","id":"media_crop_4842072948677","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"210","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"margin: 5px; float: left;","title":" ","typeof":"foaf:Image"}}]]Regional Medical Imaging, based in Flint, Mich., has successfully met the criteria for the federal government’s meaningful use program, becoming an early adopter among radiology practices. The group also received $216,000 in incentive funds so far for their efforts.
Here, Randy Hicks, MD, CEO of Regional Medical Imaging, and Carrie Berlin, chief information officer for RMI, discuss why meaningful use is important, how they implemented and attested to their use of the Merge RIS 7.0, and what other practices should consider when working toward meaningful use.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
