Coding Denial Specialist
RadNet
Coding Denial Specialist
RadNet
Outpatient radiology imaging centers with AI
Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of RadNet’s success is its people with the commitment to a better healthcare experience. When you join RadNet as our Coding Denial Specialist, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators achieve the best clinical outcomes.
JOB SUMMARY
The Coding Denial Specialist will ensure charges are accurately and compliantly reflected on claims submitted to payors for adjudication following all regulations, payor coding guidelines, and contractual agreements within appeal timeframe. Charges will be coded using the appropriate combination of CPT/CPCS/ICD-10 codes as indicated by the radiology report and clinical documentation; following payor specific guidelines and/or as defined in contractual agreements.
You will:
If You Are:
Ideal Candidate will possess:
Pay rate: $22.00 - $24.00 per hour
RadNet runs a network of 350 outpatient radiology centers across seven states, providing advanced imaging services to patients. Its core offerings include diagnostic imaging (such as X-ray, CT, MRI, and other modalities) performed at clinics and interpreted by radiologists. The company combines imaging technology with artificial intelligence to improve diagnostic accuracy and speed, supporting healthcare providers, patients, regulators, and payers. Revenue comes from patient fees and partnerships with healthcare institutions. RadNet differentiates itself through scale (a large, nationwide outpatient imaging network), ongoing investment in technology and AI, and a focus on standardizing high-quality imaging across its centers. The company’s goal is to expand access to precise, efficient radiology services and to maintain leadership in imaging quality and research by continuously adopting best practices and pioneering radiology-related innovations.
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