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Denials Specialist in Phoenix, AZ

Denials Specialist Job Description

Professionals in this role must have knowledge of ICD-10, CPT coding, medical terminology and Microsoft Office. Organizations seek those with strong problem-solving skills, the ability to work well under pressure, and the ability to communicate professionally, effectively and courteously with all types of constituencies. Three to five years of experience in healthcare billing or collections and a high school diploma or the equivalent is required, though most organizations prefer candidates with some college coursework completed.

Typical denials specialist duties:

Validating reasons for denying healthcare claims and ensuring that coding is accurateCoordinating consultations or account referrals when necessaryResearching and compiling necessary supporting documentation for appealsGenerating appeals and online reconsiderations as neededEscalating exhausted appeals efforts for resolution

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Salary for Denials Specialist in Phoenix, AZ

42375 - 57065

Low
42375
The candidate is new to the role or has limited experience and is building necessary skills.
Mid
48590
The candidate has moderate experience in the role, meets most requirements or has equivalent transferable skills, and may also have relevant certifications.
High
57065
The candidate has extensive experience and advanced skills for the role, and may also have specialized certifications.
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Our starting salary projections come from a rigorous, multistep process so that our numbers accurately reflect the marketplace. They are based on actual compensation for professionals Robert Half has matched with employers across the country and third-party job posting data from Textkernel that we use to independently validate the salary levels. Starting compensation—pay for someone new to a role—can vary significantly based on a candidate’s skills, experience and certifications, as well as other factors including industry, company size and revenue, and demand for the role. To reflect this variability, we report our salary data in three levels: low, mid and high.