Inpatient Coding Compliance Auditor
Job in
Humble, Harris County, Texas, 77396, USA
Listed on 2026-09-07
Listing for:
Memorial Hermann Health System
Full Time
position Listed on 2026-09-07
Job specializations:
-
Healthcare
Medical Billing and Coding, Medical Records, Healthcare Compliance, Health Informatics
Job Description & How to Apply Below
Memorial Hermann Health System seeks an Inpatient Coding Compliance Auditor to ensure accurate, compliant coding across its network of hospitals. In this role, you will perform detailed audits of inpatient medical records, validating ICD-10-CM/PCS and MS-DRG assignment, documentation quality, and adherence to federal, state, and payer guidelines. You will prepare reports, identify trends, and deliver education to coders and clinical staff.
Working in a collaborative, innovative culture, you'll support revenue integrity, reduce compliance risk, and contribute to high-quality patient care while growing your career in a leading Texas health system.
Responsibilities
- Conduct audits of inpatient medical records to ensure accurate ICD-10-CM/PCS and MS-DRG coding
- Assess documentation quality and compliance with federal, state, and payer regulations
- Prepare detailed audit reports, identifying trends, risk areas, and opportunities for improvement
- Provide education and feedback to coders and clinical staff on coding guidelines and documentation standards
- Collaborate with compliance, revenue cycle, and clinical leadership to implement corrective actions
- Monitor changes in coding regulations and update internal policies and procedures accordingly
- Support internal and external audit responses with documentation and analysis
- Use audit tools and EHR systems to track audit outcomes and measure performance
Required Skills
- ICD-10-CM coding
- ICD-10-PCS coding
- MS-DRG assignment
- Coding compliance auditing
- Clinical documentation review
- Regulatory and payer guidelines (CMS, OIG)
- EHR systems
- Coding audit tools and software
- Medical terminology and anatomy
- Reporting and data analysis
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