CMX CARE
AI-Powered Contextual Coding Automation Platform for health systems
Platform · Cloud SaaSCompany source
Company profile
About CodaMetrix
CodaMetrix is transforming healthcare revenue cycle management with its AI-powered contextual coding automation platform, CMX CARE™. Founded in 2019 and built by providers for providers, the company emerged from a homegrown solution developed by the Massachusetts General Physician Organization's billing office to code complex, multispecialty cases. The platform converts clinical data and chargeable activities across health systems into consistent billable, clinical, and demographic coding, creating a longitudinal view of the patient and coding at the first opportunity so no data is left behind. CodaMetrix's technology continuously learns in real time from coding decisions made by coding teams at top-performing health systems, applying codes across service lines while auditing against the latest payer-specific guidelines. The platform supports both facility-based and professional fee coding, reducing manual coding by 70%, cutting direct coding costs by over 30%, and delivering an average 5:1 ROI over five years. Named Best in KLAS 2026 for Autonomous Medical Coding, CodaMetrix serves major health systems representing $180 billion in net patient revenue, including Mass General Brigham, University of Colorado Medicine, Oregon Health and Science University, UMass Memorial Health, University of Miami Health System, and others. The company's approach embraces a 'code once, use many' philosophy that creates consistent, scalable coding accuracy serving multiple purposes across reimbursement, quality, and research.
Company description CodaMetrix official website
Primary marketHealthcare Operations & Administration
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint
Where the Company operates
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Clinical focus
No clinical focus areas are currently listed.
Who it serves
- Academic Medical Centers
- Health Systems
- Integrated Delivery Networks
Deployment & integration
Cloud Saas deployment with recorded integration context.
Geographic context
MarketsUnited States
Company sourceOfficial website
Company milestones
Platform expansion
Named Best in KLAS 2026 for Autonomous Medical Coding. Launched first contextual coding automation platform and new Emergency Department (ED) solution. Chosen by health systems representing $180B in net patient revenue. Formed Coding Quality Council in June 2026 to advance industry standards. Expanded executive leadership team with deep healthcare and AI expertise.
Partnerships
Recorded partners
- Mass General Brigham
- Mount Sinai
- Oregon Health and Science University
- UMass Memorial Health
- University of Colorado Medicine
- University of Miami Health System
- University of Vermont Medical Center
- West Virginia University
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
Emergency Department (ED) Solution
Contextual coding automation solution for emergency departments
Software · Cloud SaaSCompany source
03 · Research intelligence
Research Intelligence evidence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Evidence position
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Publications & preprints
Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports.JCO clinical cancer informatics · Oct 1, 2020
Clinical validation
Clinical-trial records
No linked records are currently available.
Regulatory
Regulatory records
No linked records are currently available.
04 · Company-reported outcomes
Outcomes and case studies
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
70% reduction in manual coding
Across health system implementations
5x faster turnaround time
Compared to manual coding processes
60% reduction in coding denials
Coding-related denials reduction
30% savings in coding costs
Direct coding cost reduction
5:1 ROI over five years
Average return on investment
4.82 days turnaround versus 43.6 days
Oregon Health and Science University implementation
Mass General Brigham
Origin customer where CodaMetrix was developed to code complex, multispecialty cases
Platform evolved from homegrown solution developed by Massachusetts General Physician Organization's billing office
Oregon Health and Science University
Reducing turnaround time for medical coding
Turnaround time reduced from 43.6 days to 4.82 days; CMX coded enough work equivalent to a full FTE year
UMass Memorial Health
Automation of radiology coding with expansion to other specialties
Consistent, high-quality coding in Radiology that aligned with standards, leading to confidence to expand automation into other specialties
University of Colorado Medicine
Automation of medical coding to reduce efficiency and costs across the organization
Unprecedented levels of automation with efficiency and cost reduction ripple effect across entire organization
University of Miami Health System
Successful go-live and optimization of coding automation
Exceeded automation goals, reduced expenses, and freed up coders to focus on complex accounts requiring human oversight
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
06 · Company updates
Updates from CodaMetrix
Recent articles published on CodaMetrix's official website.
No Company updates are currently listed.
07 · HAIC coverage
Coverage and analysis
Health AI Central reporting that mentions this Company.
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08 · Official presence
Company sources and channels
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09 · Market pathway
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Market context
Healthcare Operations & Administration
Companies using AI to optimize hospital operations, automate administrative workflows, improve scheduling, manage healthcare resources, coordinate care delivery, or reduce operational inefficiencies. Includes prior authorization automation, credentialing, billing, care coordination, and AI tools that help health systems run more efficiently.
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Linked research, clinical, and regulatory source pathways.
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