AI-powered actionable findings follow up and MIPS quality reporting
AI-powered radiology workflows protecting you and your patients
Developed by practicing radiologists, Radloop addresses two longstanding challenges in radiology: closing the loop on actionable findings and simplifying MIPS and QCDR reporting. Our solutions streamline workflows, support clinical excellence, and safeguard both patient care and revenue.
Actionloop ensures you never miss a follow-up.
Measureloop automates quality reporting, so it’s routine, complete, and audit-ready.
Radloop is an ACR Learning Network and GRID Registry vendor partner.




Two powerful AI tools protecting patients and providers
ACR Learning Network Vendor Partner
Identifies actionable findings and drives follow-up to closure—saving staff time, reducing risk, and increasing revenue from follow-up care.
ACR GRID Registry Vendor Partner
Extracts QCDR and MIPS quality measures and guides improvement prior to submission—eliminating manual coding and protecting reimbursement.
Who we serve
Workflows tailored for your team
Hospital Systems
Radiology Practices
Finance Leaders
Emergency Departments
Subspecialty Clinics
Risk and Compliance Teams
Care Navigation Programs
Patients
What’s new with Radloop
How AI Prevented a Missed AAA Follow-Up
The High Cost of Missed Follow-Ups in Vascular and Emergency Care In high-stakes specialties like vascular surgery and emergency medicine, timely follow-up is essential. According to the ACR Appropriateness Criteria®, abdominal aortic aneurysms (AAAs) measuring...
MIPS & Radiology: A Problem Hiding in Plain Sight
Background - The Quality Payment Program In 2017, Medicare started the Quality Payment Program (QPP) to avoid passing a new law each year to authorize the Physician Fee schedule and to change the reimbursement strategy for participating advisors for non-ACO...
Radloop Selected as Semi-Finalist for Aunt Minnie’s 2022 Best New Radiology Software Award
The Radloop team is very proud to share that AuntMinnie.com has selected us as a semi-finalist for the 2022 award of “Best New Radiology Software”! This award is given to recognize the best and brightest in medical imaging.