Inpatient Medical Coding & AI Data Quality Specialist (CCS/CIC)

New
G
Gramian ConsultancyMedical coding
Remote — United StatesFull-Time
Salary not disclosed
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Job Details

Languages
Strong written and verbal English

Requirements

  • Hold an active AHIMA Certified Coding Specialist (CCS) or AAPC Certified Inpatient Coder (CIC) credential.
  • Have hands-on experience with inpatient medical coding.
  • Demonstrate strong knowledge of ICD-10-CM, ICD-10-PCS, and MS-DRG methodology.
  • Understand principal diagnosis selection, secondary diagnosis reporting, and code sequencing.
  • Understand POA indicators and CC/MCC classification.
  • Know applicable inpatient coding guidelines and UHDDS definitions.
  • Have experience reviewing clinical documentation and resolving complex coding challenges.
  • Have access to current ICD-10-CM/PCS code sets, official coding guidelines, and appropriate MS-DRG grouper tools.
  • Demonstrate strong written and verbal English communication.
  • Have excellent attention to detail and apply coding rules consistently.

Responsibilities

  • Review and annotate inpatient records, including admission notes, progress notes, operative reports, consultations, laboratory and imaging results, and discharge summaries.
  • Assign accurate ICD-10-CM and ICD-10-PCS codes based on clinical documentation and applicable guidelines.
  • Identify principal and secondary diagnoses and sequence codes according to official inpatient coding conventions.
  • Assign Present on Admission indicators and validate MS-DRG assignments, including CC and MCC identification.
  • Apply UHDDS definitions, official ICD-10-CM/PCS coding guidelines, and relevant AHA Coding Clinic guidance.
  • Identify hospital-acquired conditions, patient safety indicators, and documentation inconsistencies where applicable.
  • Collaborate with project stakeholders to clarify coding requirements and resolve documentation ambiguities.
  • Provide structured feedback on guidelines, complex cases, and recurring errors to support workflow improvements and AI model training.
  • Ensure coding annotations are accurate, complete, consistent, and aligned with current coding standards.
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