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Revenue Integrity Coding Specialist

lifestance health·US·United States·mid
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At LifeStance Health , we strive to help individuals, families, and communities with their mental health needs. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in mental healthcare. Thank you for taking the time to explore a career with us. As the fastest growing mental health practice group in the country, now is the perfect time to join our team! LifeStance Health Values Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. Benefits As a full-time employee of LifeStance Health , the following benefits are offered: medical, dental, vision, AD&D, short and long-term disability, and life insurance. Additional benefits include a 401k retirement savings with employer match, paid parental leave, paid time off, holiday pay and an Employee Assistance Program. Job Summary We are seeking a certified Revenue Integrity Coding Specialist to join our Shared Services team, supporting Revenue Cycle Management (RCM) and driving financial performance. The ideal candidate will have a strong working knowledge of CPT rules, ICD-10 guidelines, and payor reimbursement policies. This role involves practice pattern monitoring, claim scrubbing and payor audit management. The Revenue Integrity Coding Specialist will support revenue cycle with post-payment audits, pre-payment reviews, and claim-line rebuttals to dispute recoupment. Emphasis is placed on preventative process measures for denial prevention, including claim scrubbing, detecting error trends, and working with stakeholders to solve root causes. We are a collaborative and supportive team with weekly touchpoints and professional development opportunities. Our data-driven approach m