Solutions
From modifier 26/TC discrepancies to imaging authorization denials and underpaid claims, our AI-powered radiology RCM services address the billing complexities that cost imaging providers revenue.
Please enter your details and one of our team members will contact you shortly
Incorrect modifier 26/TC usage, global billing splits, and payer-specific reimbursement rules can lead to duplicate claims, denied interpretations, and missed professional or technical payments.
MRI, CT, and PET claims face payment delays when prior authorizations, medical necessity documentation, or payer-specific imaging requirements do not match the performed study.
Gaps between RIS/PACS records, radiologist interpretations, and billing systems can leave completed studies unbilled, inaccurately coded, or missing from the revenue cycle.
Our billing and coding specialists manage diagnostic and interventional radiology claims, including CPT, ICD-10, HCPCS, professional and technical components, and payer-specific requirements across imaging modalities.
Olympus Insights provides visibility into reimbursement by CPT code, imaging modality, payer, and location, helping identify payment variances, denial trends, and revenue-recovery opportunities.
Our revenue-focused operating model connects billing performance to net collections, first-pass claims, denial rates, and A/R outcomes, keeping financial results at the center of every engagement.
OlympusAI combines AI-driven radiology billing with specialist oversight to identify claim risks and accelerate reimbursement across the imaging revenue cycle
High-volume CT, MRI, PET, ultrasound, and X-ray services require accurate charge capture, authorization management, payer-specific coding, and consistent patient billing across locations.
Professional interpretation billing, facility relationships, physician credentialing, and payer contracts create reimbursement challenges that differ from freestanding imaging operations.
Image-guided procedures, complex coding combinations, remote interpretations, and multi-facility billing arrangements require specialized documentation and reimbursement oversight.
Radiology RCM involves modality-specific coding, professional and technical component billing, imaging authorizations, medical necessity requirements, and reimbursement rules that vary by payer and service setting.
AI-powered radiology RCM can automate claim checks, identify documentation gaps, categorize denials, and surface payment discrepancies. Human specialists review complex coding decisions, appeals, and payer exceptions.
Common causes include missing prior authorizations, unsupported medical necessity, incorrect coding or modifier combinations, eligibility discrepancies, and incomplete documentation.
Yes. Radiology RCM workflows can be adapted for independent imaging centers, hospital-based radiologists, and interventional radiology groups based on billing responsibility, payer contracts, and operational requirements.
Radiology practices can compare actual payer payments against contracted rates, applicable billing components, and reimbursement rules to identify payment variances that require investigation or appeal.
We diagnose your current state, baseline the leakage, and show you the to-be model.
The RCM Assessment is free. The findings are yours to keep, regardless of whether we work together.
Board-ready findings memo, quantified leakage estimate, transformation roadmap.