Remote Profee Neurology/Neurosurgery Coder – Complex

Banner Health

Northern (KY)

Hybrid

USD 35,000 - 53,000

Full time

9 days ago
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Benefits offered by this job

Remote environment
Flexible scheduling after training
Great benefits
Internal growth opportunities

Job summary

Banner Health seeks an experienced Certified Medical Coder (Profee) for a remote, full‑time role focused on neurology and neurosurgery coding. The candidate will code complex records, abstract data, and ensure CMS/AHIMA/AAPC compliance across diverse cases.

Ideal candidates have 3+ years of Neurology/Neurosurgery coding, current CPC/CCS/CCS-P/RHIA/RHIT certification, and can work effectively in a remote, collaborative environment with flexible scheduling after training.

Qualifications

  • Requires 3+ years of complex professional coding in neurology and/or neurosurgery.
  • Current certification through CPC/CCS/CCS-P/RHIA/RHIT with AHIMA or AAPC.
  • Remote work ability with proficiency in coding software and abstracting systems.

Responsibilities

  • Code medical records per national guidelines for neurology and neurosurgery.
  • Abstract clinical diagnoses and procedures into EMR with complete data.
  • Ensure compliance with CMS, Medicaid, OIG and HCFA rules.
  • Support department projects, validation edits and revisions as needed.
  • Identify validation edits to maintain accurate coding and reimbursement.

Skills

Neurology coding
Neurosurgery coding
Remote work

Education

Associate’s degree in a related health care field
High school diploma/GED or equivalent with formal training in medical records principles

Tools

Coding software
Abstracting systems

Job description

Banner Health seeks an experienced Certified Medical Coder (Profee) for a remote, full‑time role focused on neurology and neurosurgery coding. The candidate will code complex records, abstract data, and ensure CMS/AHIMA/AAPC compliance across diverse cases.

Ideal candidates have 3+ years of Neurology/Neurosurgery coding, current CPC/CCS/CCS-P/RHIA/RHIT certification, and can work effectively in a remote, collaborative environment with flexible scheduling after training.

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