Remote | Inpatient Medical Coder - $50-$70/hour

24-MAG LLC; United States; Remote; USD 69,000 - 96,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Minimum 10 hours per week

Job summary

24-MAG LLC is offering a freelance remote opportunity for experienced US-based Inpatient Medical Coders with ICD-10-CM/PCS expertise to support AI training and evaluation in inpatient coding workflows.

You will review complex records, apply coding guidelines, assess MS-DRG classification, and provide feedback to improve AI-driven documentation and coding accuracy while working remotely with a minimum of 10 hours per week.

Qualifications

• In-depth knowledge of ICD-10-CM and ICD-10-PCS coding guidelines.
• Experience in inpatient facility coding and clinical documentation improvement.
• Ability to determine principal and secondary diagnoses across complete inpatient admissions.
• Familiarity with MS-DRG assignment and POA indicators.

Responsibilities

• Review inpatient records to ensure accurate diagnosis and procedure coding.
• Apply coding guidelines to complex documentation.
• Assess MS-DRG assignment and MCC/CC impact.
• Evaluate documentation for consistency and need for provider queries.
• Validate AI-generated notes and coding recommendations.

Skills

ICD-10-CM knowledge

ICD-10-PCS knowledge

MS-DRG assignment

Clinical documentation improvement

Documentation review

AHIMA/AAPC credential awareness

Attention to detail

Tools

EHR systems

Coding encoder systems

Job description

About the job Remote | Inpatient Medical Coder - $50-$70/hour

We are sharing a specialised remote consulting opportunity for experienced US-based Inpatient Medical Coders with deep expertise in ICD-10-CM and ICD-10-PCS coding, inpatient clinical documentation, MS-DRG assignment, and healthcare coding compliance to contribute their professional knowledge to advanced AI training and evaluation initiatives.

Selected professionals will review complex inpatient medical records, assess diagnosis and procedure coding accuracy, and evaluate AI-generated clinical documentation and coding recommendations. The work combines practical facility coding expertise with clinical data interpretation, coding guideline application, documentation review, and structured quality assessment to help improve the accuracy, consistency, and reliability of AI systems operating across inpatient healthcare coding workflows.

Key Responsibilities

Inpatient Medical Record Review & Coding Analysis

• Review and analyse inpatient medical records to ensure accurate diagnosis and procedure coding
• Apply current ICD-10-CM and ICD-10-PCS coding guidelines to complex inpatient clinical documentation
• Evaluate the full inpatient admission to determine appropriate principal and secondary diagnoses
• Examine clinical documentation for consistency, completeness, and alignment with established coding standards
• Apply professional coding judgement to identify relevant clinical details, coding distinctions, and documentation requirements

MS-DRG Assignment & Clinical Classification

• Analyse diagnosis and procedure information to assess appropriate Medicare Severity Diagnosis Related Group (MS-DRG) assignment
• Evaluate the impact of major complications and comorbidities (MCCs) and complications and comorbidities (CCs) on inpatient classifications
• Interpret Present on Admission (POA) indicators and their relevance to inpatient coding accuracy
• Assess relationships between clinical documentation, diagnosis selection, procedural coding, and DRG determination
• Identify classification discrepancies and explain their implications for coding quality and data integrity

Clinical Documentation Integrity & Coding Compliance

• Review inpatient clinical documentation for accuracy, completeness, and consistency with applicable coding requirements
• Identify documentation gaps, conflicting clinical information, and circumstances requiring provider clarification
• Evaluate opportunities for appropriate physician queries in accordance with established clinical documentation practices
• Apply official ICD-10 coding guidelines and relevant AHA Coding Clinic guidance to complex coding scenarios
• Support accurate and consistent interpretation of inpatient documentation while maintaining professional coding standards

AI Training & Clinical Coding Evaluation

• Review and validate AI-generated clinical notes, medical summaries, diagnosis assignments, and procedure code suggestions
• Compare AI-generated coding recommendations with actual inpatient documentation and applicable coding guidelines
• Identify coding inaccuracies, unsupported diagnoses, procedural inconsistencies, and incomplete clinical reasoning
• Provide structured feedback explaining coding discrepancies, documentation requirements, and appropriate coding approaches
• Contribute specialised clinical coding expertise to the development and evaluation of AI-assisted inpatient coding workflows

Coding Quality Assurance & Data Validation

• Review and reconcile diagnosis and procedure coding discrepancies to support clinical data accuracy
• Evaluate coding outputs for compliance with current classification standards and inpatient coding conventions
• Enter, review, and validate AI-generated patient information within designated inpatient medical record and encoder systems
• Produce clear coding explanations, documentation assessments, and structured quality feedback
• Support the continuous improvement of coding accuracy, clinical documentation quality, and specialised project deliverables

Ideal Profile

• Active professional coding certification such as Certified Inpatient Coder (CIC), Certified Coding Specialist (CCS), RHIA, RHIT, or another relevant AHIMA or AAPC credential
• Substantial professional experience in inpatient facility coding, clinical documentation improvement, or a closely related healthcare coding role
• Strong command of ICD-10-CM diagnosis coding and ICD-10-PCS inpatient procedure coding
• Demonstrated expertise in determining principal and secondary diagnoses across complete inpatient admissions
• Practical understanding of MS-DRG assignment, MCC/CC classification, and Present on Admission (POA) indicators
• Experience reviewing complex inpatient medical records and interpreting detailed clinical documentation
• Familiarity with official ICD-10 coding guidelines, current code sets, and AHA Coding Clinic guidance
• Ability to identify documentation inconsistencies, coding discrepancies, and opportunities for appropriate provider queries
• Strong understanding of inpatient coding compliance, clinical documentation standards, and coding quality assurance
• Experience working with electronic health records, inpatient encoder systems, or comparable clinical coding technologies
• Excellent analytical reasoning, clinical interpretation, critical-thinking, and problem-solving capabilities
• Exceptional attention to detail and commitment to accurate diagnosis and procedure coding
• Ability to communicate coding decisions, clinical documentation findings, and technical explanations clearly
• Current employment or active professional involvement in inpatient coding, clinical documentation improvement, or related work is preferred
• Availability to contribute at least 10 hours per week
• Ability to work independently and contribute effectively to remote, technology-supported research assignments
• Familiarity with AI-assisted coding, clinical data evaluation, or healthcare technology initiatives is advantageous but not required

Engagement Details

• Freelance / contract engagement
• Fully remote - United States
• Compensation: $50-$70/hour
• 50 available openings
• Minimum Availability: 10 hours per week
• Specialised healthcare coding role spanning inpatient medical records, ICD-10-CM, ICD-10-PCS, MS-DRG classification, and AI training
• Work will involve inpatient record review, diagnosis and procedure coding assessment, clinical documentation evaluation, and AI-generated coding validation
• Assignments will draw on practical expertise in facility coding, coding guidelines, DRG assignment, and clinical documentation integrity
• Activities may involve designated electronic medical record and coding encoder systems
• Collaboration and task delivery will take place remotely through designated project tools
• Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy