US inpatient coders review hospital records and check AI-generated clinical notes and diagnostic codes against coding standards. It suits certified coders with current ICD-10 and CPT experience who can commit at least ten hours a week.
Sobre la vacante
Location: United States, Remote
micro1 is engaging Inpatient Coders to contribute to a valued project focused on enhancing clinical coding accuracy and data quality. In this role, you'll apply your 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 and analyze inpatient medical records to ensure accurate ICD-10 and CPT coding in alignment with current guidelines and best practices.
- Review clinical documentation for accuracy, completeness, and coding integrity.
- Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards.
- Code AI-generated diagnostic and procedural information from the record using ICD and CPT/HCPCS classification systems .
- Identify and resolve discrepancies in diagnosis and procedure coding, ensuring the integrity of record abstraction and data capture.
- Enter AI-generated patient information into computerized inpatient and outpatient medical record databases.
Preferred Qualifications
- Active certification in one of the following: CCS, CIC, COC, RHIA, or RHIT or other coding certification through AHIMA and AAPC.
- ICD-10 coding experience.
- Access to up-to-date official ICD-10 and CPT coding books, as well as E&M guidelines.
- Currently working in medical coding, clinical documentation improvement, or a closely related documentation role
- Availability of at least 10 hours per week
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