About this role
Role Type: Contractor
Location: United States, Remote
micro1 is engaging Inpatient Medical Coders to contribute to a valued project focused on enhancing inpatient clinical coding accuracy and data quality. In this role, you’ll apply your facility coding expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Scope of Work
- Review inpatient medical records to ensure accurate ICD-10-CM and ICD-10-PCS coding in line with current guidelines.
- Determine the principal and secondary diagnoses for the full admission and assess how MCCs, CCs, and procedures affect DRG assignment.
- Review clinical documentation for accuracy and completeness, and flag opportunities for provider queries.
- Evaluate AI-generated clinical notes, summaries, and code suggestions against real-world documentation and inpatient coding standards.
- Identify and resolve diagnosis and procedure coding discrepancies to protect data integrity.
- Enter and validate AI-generated patient information in inpatient medical record and encoder systems.
Preferred Qualifications
- Active coding certification such as CIC, CCS, RHIA, or RHIT, or another AHIMA or AAPC coding credential.
- Inpatient ICD-10-CM and ICD-10-PCS coding experience, including DRG, MCC/CC, and POA concepts.
- Access to current official ICD-10 code sets and guidelines, and familiarity with AHA Coding Clinic.
- Currently working in inpatient coding, clinical documentation improvement, or a closely related role.
- Availability of at least 10 hours per week.
Listed by micro1. Details can change, so check the original posting before applying.