Evaluate AI-generated clinical notes, summaries, patient information, and coding suggestions against established inpatient coding standards.
Identify and resolve diagnosis and procedure coding discrepancies.
Enter and validate AI-generated patient information in inpatient medical record and encoder systems.
Maintain high standards of coding accuracy, consistency, and healthcare data quality.
Required Qualifications
Professional experience in inpatient medical coding.
Strong knowledge of ICD-10-CM and ICD-10-PCS.
Experience with MS-DRG, MCC/CC, and POA concepts.
Ability to accurately interpret complex inpatient clinical documentation.
Strong attention to detail and commitment to coding accuracy.
Ability to apply current coding guidelines consistently.
Availability for at least 10 hours per week.
Preferred Qualifications
Active CIC, CCS, RHIA, RHIT, or another recognized AHIMA or AAPC coding credential.
Current or recent experience in inpatient coding, Clinical Documentation Improvement (CDI), or a closely related role.
Access to current official ICD-10 code sets and guidelines.
Familiarity with AHA Coding Clinic.
Experience using medical record or encoder systems.
Core Skills
ICD-10-CM • ICD-10-PCS • Inpatient Coding • MS-DRG • MCC • CC • POA • Clinical Documentation • Medical Record Review • DRG Assignment • CDI • Healthcare Data Quality
Why This Role Matters
Your expertise will help improve how AI systems interpret complex inpatient healthcare information, identify coding discrepancies, and produce more accurate and reliable clinical outputs.
If you have strong inpatient coding expertise and want to contribute to healthcare AI training, medical coding evaluation, and clinical data quality, this remote contract opportunity offers a way to apply your professional knowledge to emerging healthcare technology.
