About the job
At CodaMetrix, we are transforming Revenue Cycle Management through our cutting-edge AI-driven autonomous coding solution. Our innovative multi-specialty AI platform efficiently converts clinical data into precise medical codes, enhancing operational efficiency in both fee-for-service and value-based care frameworks. Our goal is to liberate healthcare providers from administrative burdens, allowing them to focus more on direct patient care.
Position Overview
As a Senior Medical Coding Analyst reporting to the Senior Manager of Medical Coding & Audit, you will be an integral part of our team dedicated to surpassing client expectations in coding quality. Your extensive experience in coding, billing, and auditing will be essential as you assess, analyze, and refine our coding processes. You will work collaboratively with various teams, including Machine Learning, Product Development, and Customer Implementations, to enhance the quality and efficiency of our coding operations.
This position demands exceptional communication skills to convey intricate coding challenges and solutions to diverse stakeholders, along with a strong commitment to continuous improvement in coding practices.
Key Responsibilities
Customer & Workflow Analysis
Evaluate and document clients' coding workflows to optimize the utilization of CodaMetrix products.
Identify and disseminate best practices for coding automation and workflow enhancements.
Coding Quality Management
Support the manager in Coding Quality Assessment (CQA) initiatives, including task assignments, training, and quality assurance for offshore coding teams.
Utilize CodaMetrix coding standards to achieve exemplary coding quality and uniformity.
Present audit findings to client stakeholders and facilitate approvals for go-live dates.
Subject Matter Expertise
Act as the internal and external Subject Matter Expert (SME) for medical coding and billing within designated service lines, emphasizing coding accuracy.
Offer expert advice on coding and billing inquiries to enhance Machine Learning initiatives and product development.

