to support a client's healthcare product development by leveraging expertise in
insurance coding and hospital revenue management workflows
. This role involves collaborating with hospital systems to align medical documentation with insurance policies, ensuring accurate coding and optimal reimbursement outcomes.
Key Responsibilities
Insurance Coding & Revenue Cycle Alignment:
Review, audit, and optimize insurance coding practices across hospital systems to ensure compliance and maximize reimbursement accuracy.
Workflow Analysis:
Evaluate existing revenue management workflows and recommend improvements tailored to client's AI-driven documentation tools.
Clinical Data Interpretation:
Translate complex clinical notes into standardized coding formats (ICD-10, CPT, HCPCS) aligned with payer policies.
Policy Matching:
Assess coding accuracy against insurance guidelines and payer documentation requirements.
Product Development Collaboration:
Work closely with client's engineering and product teams to refine AI models that automate or assist with medical coding and documentation.
Compliance & Quality Assurance:
Ensure alignment with HIPAA, CMS, and payer-specific coding regulations.
Required Qualifications
Licensure:
Registered Nurse (RN) or equivalent clinical background.
Experience:
Minimum 3-5 years in
medical coding
,
clinical documentation improvement (CDI)
, or
revenue cycle management
.
Certifications:
CPC, CCS, or CRC certification preferred.
Domain Expertise:
Familiarity with
hospital billing systems
,
payer policy interpretation
, and
coding audit procedures
.
Analytical Skills:
Strong understanding of clinical documentation standards and payer logic.
Tech Savvy:
Comfortable working with EHR systems (Epic, Cerner, Meditech) and documentation review software.
Preferred Qualifications
Experience working within
hospital revenue integrity teams
or
insurance utilization management
.
Exposure to
AI-powered healthcare documentation tools
or
automated coding systems
.
Ability to identify and flag edge cases or policy exceptions in automated workflows.
Strong collaboration skills with cross-functional (engineering, compliance, and data) teams.
Engagement Model
*
Contract / Part-time (Remote/In person)
-- Flexible hours with collaboration during U.S. business hours. In person in San Francisco is a plus
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