Practicing at vRad
Remote radiologist jobs with flexible schedules, equitable pay, and the most advanced reading platform. Discover teleradiology at vRad.
Remote radiologist jobs with flexible schedules, equitable pay, and the most advanced reading platform. Discover teleradiology at vRad.
Radiologist well-being matters. Explore how vRad takes action to prevent burnout with expert-led, confidential support through our partnership with VITAL WorkLife. Helping radiologists thrive.
Visit the vRad blog for radiologist experiences at vRad, career resources, and more.
vRad provides radiology residents and fellows with free radiology education resources for ABR boards, noon lectures, and CME.
Teleradiology services leader since 2001. See how vRad AI is helping deliver faster, higher-quality care for 50,000+ critical patients each year.
Subspecialist care for the women in your community. 48-hour screenings. 1-hour diagnostics. Comprehensive compliance and inspection support.
vRad’s stroke protocol auto-assigns stroke cases to the top of all available radiologists’ worklists, with requirements to be read next.
vRad’s unique teleradiology workflow for trauma studies delivers consistently fast turnaround times—even during periods of high volume.
vRad’s Operations Center is the central hub that ensures imaging studies and communications are handled efficiently and swiftly.
vRad is delivering faster radiology turnaround times for 40,000+ critical patients annually, using four unique strategies, including AI.
vRad is developing and using AI to improve radiology quality assurance and reduce medical malpractice risk.
Designed by radiologists and proven over 20+ years. Every facility in one workflow with native AI, real-time analytics, and 24/7 support.
The vRad Operations Center provides live, U.S.-based clinical and technical support around the clock, so radiologists keep their eyes on images.
Switch platforms without stopping the practice. vRad has run PACS, EMR, and HL7 integrations since 2001, stage by stage.
See turnaround times, volume, radiologist productivity, and referral trends from every facility on one real-time dashboard.
One click opens the case, the header is pre-filled, and dictation in any order becomes a structured report. Reporting software radiologists prefer.
AI built into the workflow, not bolted on: prioritizing the worklist, surfacing priors, formatting reports, drafting impressions, and placing critical findings calls.
One worklist for every facility. Native AI flags potentially critical findings and moves them to the top, cutting turnaround 15+ minutes.
One click opens the case, the header is pre-filled, and dictation in any order becomes a structured report. Reporting software radiologists prefer.
Dictate findings in any order. Native AI organizes them by body region into one consistently structured report, in your own words.
Native AI drafts the impression from the radiologist’s dictated findings. Built into reporting, not bolted on.
Since 2010, vRad Radiology Education has provided high-quality radiology CME. Open to all radiologists, these 15-minute online modules are a convenient way to stay up to date on practical radiology topics.
Join vRad’s annual spring CME conference, featuring top speakers and practical radiology topics.
vRad provides radiology residents and fellows with free radiology education resources for ABR boards, noon lectures, and CME.
Academically oriented radiologists love practicing at vRad too. Check out the research published by vRad radiologists and team members.
Learn how vRad revolutionized radiology and has been at the forefront of innovation since 2001.
Since developing and launching our first model in 2015, vRad has been at the forefront of AI in radiology.
Visit the vRad blog for radiologist experiences at vRad, career resources, and more.
Explore our practice’s reading platform, breast imaging program, AI, and more. Plus, hear from vRad radiologists about what it’s like to practice at vRad.
Ready to be part of something meaningful? Explore team member careers at vRad.
Your patients are in good hands. All vRad radiologists participate in the most comprehensive, AI-supported quality assurance program in radiology.
vRad’s accuracy rate of 99.87% has remained consistently high for many years. With just 1.3 major misses per 1,000 reads, our error rate is lower than published benchmarks like the Wilson Wong study (JACR, 2005).
Mistakes happen in healthcare. Minimizing them or catching them early can significantly reduce the impact on patient care.
Since 2004, vRad’s Quality Assurance (QA) Program has focused on real performance improvement. Peer reviews and standardized discrepancy coding provide each radiologist with personalized but objective feedback.
vRad QA is central to our mission of delivering exceptional care.
Potential discrepancies are identified through client submission and vRad’s routine internal review, which overreads 2% of final interpretations. Clients submit cases via our online QA portal.
Discrepancy cases are reviewed by the interpreting radiologist plus at least one member of the QA Committee, ensuring a thorough and standardized assessment.
Clients are promptly notified of QA submissions, with clear updates on the case status. Case resolutions are communicated by fax or email and can be made verbally upon request.
Discrepancies are coded and standardized for benchmarking, with deidentified data accessible to clients for quality reviews and reporting.
Radiologist performance is regularly reviewed using standardized, objective metrics to maintain excellence. Ongoing Professional Performance Evaluations (OPPE) and Focused Professional Performance Evaluations (FPPE) address issues as needed, driving high standards and accountability.
Led by Dr. Julie Shaffrey for more than two decades, vRad’s QA Committee is composed of top radiologists across subspecialties.
Julie Shaffrey, MD
Director of Quality Assurance
Michael Novick, MD
Associate Director of Quality Assurance
Sara Banerjee, MD
Neuroradiology
Donald Bitto, MD
Nuclear Medicine
Yulia Bronstein, MD
Neuroradiology, Body Imaging
Kelcey Elsass, MD
General Radiology
Liat Kaplan, MD
Musculoskeletal
John Krol, MD
General Radiology
Joshua Morais, MD
Neuroradiology
Michael Rethy, MD
MSK
Christian VanKirk, MD
General Radiology
vRad AI models for quality assurance augment our robust radiologist QA program. AI compares the radiology report to the images immediately after radiologist sign-off, flagging potential missed critical findings for rapid review by a QA radiologist. If an error is confirmed, a radiologist quickly notifies the care team to ensure patient safety and addends the report.
Aortic dissection, epidural lesion, ICH, pneumoperitoneum, pneumothorax, pulmonary embolism, splenic laceration, SMA occlusion
AI flags potential missed findings for QA radiologist review
Catching diagnostic errors early enables rapid correction, reducing patient care impact
vRad is at the forefront of artificial intelligence for radiology—accelerating the speed and quality of care.