In a recent video interview, Arun Krishnaraj, MD, MPH and David Larson, MD, MBA, discussed the continued use of physical media to transport medical images between different health-care facilities, resulting inefficiencies and delays with patient care, and the initiative to create a linked multi-hub model to end this dated practice once and for all.
Despite the technological advances in transferring electronic health information, medical imaging data, to this day, is predominantly exchanged between instiutions via physical media (such as a CD or flash drive) that patients carry to an appointment at another facility.
Emphasizing the impact of this seemingly dated practice on workflow efficiencies within radiology and the broader field of health care, Arun Krishnaraj, MD, MPH and David Larson, MD, MBA, said the continued reliance on patients to transport medical images via physical media (such as a CD or flash drive) can lead to delays in patient care.
In their quest to change this dynamic, Drs. Krishnaraj and Larson recently co-authored a provocative article, “Moving Toward Seamless Interinstitutional Electronic Image Transfer” in the Journal of the American College of Radiology (JACR). In the article and in a video interview with Diagnostic Imaging, Drs. Krishnaraj and Larson discussed the potential creation of a “linked multi-hub model” that would facilitate electronic transmission of medical images through image exchange companies that would connect different health-care facilities.
“Everyone in the imaging community should really see this as a call to arms to work with our imaging vendor exchange communities to solve this problem for the benefit of patients,” emphasized Dr. Krishnaraj, Chief of the Division of Body Imaging with the Department of Radiology and Medical Imaging at the University of Virginia School of Medicine.
For more insights from Drs. Krishnaraj and Larson, watch the video below:
ACR Collaborative Model Achieves 20 Percent Improvement in PI-QUAL Scores for Prostate MRI
May 9th 2024Using a learning network model to discuss challenges and share insights among radiology departments from five different organizations, researchers noted that 87 percent of audited prostate MRI exams had PI-QUAL scores > 4 at the conclusion of the collaborative program.
Study Finds High Concordance Between AI and Radiologists for Cervical Spine Fractures on CT
May 6th 2024Researchers found a 98.3 percent concordance between attending radiology reports and AI assessments for possible cervical spine fractures on CT, according to new research presented at the 2024 ARRS Annual Meeting.
FDA Clears AI-Powered Qualitative Perfusion Mapping for Cone-Beam CT
May 6th 2024Reportedly validated in more than 10 clinical trials, the AngioFlow perfusion imaging software enables timely identification of brain regions with cerebral blood flow reduction and those with significant hypoperfusion.