Inpatient Medical Coder

Confidential

United States

Remoto

USD 55.000 - 96.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Zekai is seeking an Inpatient Medical Coder for a 100% remote contractor role in the United States. You will apply facility coding expertise to train AI systems, ensuring high-quality, real-world input for model learning and reasoning.

Responsibilities include reviewing records for ICD-10-CM/PCS accuracy, determining diagnoses, and ensuring data integrity while supporting AI-generated notes and code suggestions. A CIC/CCS/RHIA/RHIT credential and inpatient coding experience are preferred.

Competenze

  • Active coding certifications such as CIC, CCS, RHIA, or RHIT or another AHIMA/AAPC credential.
  • Inpatient ICD-10-CM/ICD-10-PCS coding experience, including DRG, MCC/CC, and POA concepts.
  • Access to current ICD-10 code sets and guidelines, familiarity with AHA Coding Clinic.
  • Currently working in inpatient coding, clinical documentation improvement, or a related role.
  • Availability of at least 10 hours per week.

Mansioni

  • Review inpatient medical records to ensure accurate ICD-10-CM and ICD-10-PCS coding per guidelines.
  • Determine principal and secondary diagnoses for full admission and assess MCCs, CCs, and procedures’ effect on DRG.
  • Review clinical documentation for accuracy and completeness, flag provider queries.
  • Evaluate AI-generated notes, summaries, and code suggestions against inpatient coding standards.
  • Identify and resolve coding discrepancies to protect data integrity.
  • Enter and validate AI-generated patient information in inpatient encoding systems.

Formazione

CIC/CCS/RHIA/RHIT certification
Inpatient ICD-10-CM/ICD-10-PCS coding experience (DRG/MCC/CC/POA)

Descrizione del lavoro

Role Title: Inpatient Medical Coder

Role Type: Contractor

Location: United States, Remote

our partner 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.

This is a 100% remote contract role. Applicants must be located in: United States.

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