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Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Awards
Differentiators
Health equity
Keywords
Media
Company details
SAI
SAI

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Categories

Solutions

Description

Product Description:
SAI is an AI-powered medical documentation platform, thoughtfully built by doctors, for doctors, to restore focus where it matters most, patient care. Designed with a deep understanding of real clinical workflows, SAI seamlessly captures patient encounters and transforms them into structured, accurate, and compliant medical notes in real time. More than just a transcription tool, SAI functions as an intelligent clinical partner. It adapts to individual physician preferences, specialty-specific nuances, and evolving documentation standards, ensuring each note reflects both precision and personalization. By reducing the administrative burden that contributes to burnout, SAI enables providers to move efficiently through their day without compromising quality or compliance. SAI integrates effortlessly into existing workflows, whether in fast-paced outpatient settings or complex inpatient environments. Its intuitive interface requires minimal training, allowing teams to adopt quickly and scale confidently. The result is not just time saved, but a measurable improvement in productivity, documentation quality, and overall physician satisfaction. Built on the principle that technology should support, not disrupt, the art of medicine, SAI empowers healthcare organizations to elevate performance while preserving the human connection at the heart of care.
About Scrivas:

SAI is an AI-powered medical documentation platform, thoughtfully built by doctors, for doctors, to restore focus where it matters most—patient care. Designed with a deep understanding of real clinical workflows, SAI seamlessly captures patient encounters and transforms them into structured, accurate, and compliant medical notes in real time.

Product Description:

CMX CARE™ is a SaaS platform, hosted in the AWS Cloud environment, that uses AI and ML to interpret structured and unstructured clinical data from the Electronic Health Record (EHR) to reduce time and cost of coding while increasing the quality of claims data. It works in parallel with existing coding processes, automatically capturing chargeable billing codes and providing medical coding teams with context and suggestions for codes that require further review.

CodaMetrix currently supports Epic, GE, Meditech, and Cerner and can be expanded to other EHRs. It is available in a growing number of service lines including Radiology, Pathology, Endoscopy, Surgery, ED, and Evaluation & Management. The Analytics dashboards, CMX Insights™ delivers real-time visibility into coding performance, financial impact, and compliance risks—empowering health systems to optimize operations, reduce denials, and drive continuous improvement.

About CodaMetrix, Inc.:

CodaMetrix is transforming the revenue cycle with CMX CARE™, an AI-powered Autonomous Coding Platform designed to improve coding quality and performance. Born out of Mass General Brigham and trusted by 30+ leading U.S. health systems, the CMX CARE™ platform ingests both structured and unstructured clinical data to deliver high-quality medical coding across a growing number of specialties and subspecialties. By reducing manual work and enhancing the precision and completeness of clinical data, CodaMetrix helps organizations build a stronger financial and clinical foundation—achieving a 60% reduction in coding costs, a 70% decrease in claims denials, a 5-week acceleration in time to cash, and an average automation success rate above 96%.

Compatibility level

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Clients

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Product Capabilities

The CMX CARE™ platform leverages advanced machine learning and the latest in AI to translate clinical notes into accurate, compliant billing and diagnostic codes—automatically applying them across service lines without introducing new workflows. By ensuring coding is complete, timely, and reflective of the full specificity of each patient encounter and provider note, CodaMetrix helps organizations capture appropriate reimbursement and reduce revenue leakage. Real-time compliance monitoring and continuous auditing against the latest payer guidelines further safeguard accuracy and minimize audit risk—delivering high-quality, intelligent automation that adapts as the healthcare landscape evolves.

CMX Insights™ provides deep visibility into charge-related data received from your EHR, including cases coded autonomously and those routed for manual processing. CMX CARE's™ advanced analytics help users understand why a charge was automatically coded or flagged for review, offering transparency into case-level decisioning. With customizable dashboards and drill-down capabilities, CMX Insights™ enables users to track performance across key metrics such as: real-time automation rates, financial impact and reimbursement trends, productivity and throughput monitoring, denial management tracking, and case volumes by date range and specialty. These insights empower health systems to optimize coding operations, reduce revenue cycle friction, and drive continuous improvement across departments.

CodaMetrix is built with security and compliance at its core. We maintain full HIPAA compliance and have achieved both ISO 27001 certification and SOC 2 Type 2 compliance, reflecting our commitment to the highest standards of data protection and operational integrity. Our platform is safeguarded by a robust set of technical and procedural controls, including: End-to-end encryption (in transit and at rest), comprehensive audit trails, role-based access and least-privilege security model, Information Security Management System (ISMS), regular third-party penetration testing, and static and dynamic code vulnerability scanning.

CodaMetrix is committed to reducing denials and accelerating reimbursements. On average, providers using CMX CARE™ experience a 60% reduction in coding-related denials compared to traditional manual coding methods—helping ensure they get paid accurately and on time for the care they deliver. At Mass General Brigham, a study of radiology claims showed a 58.7% reduction in coding-related denials at Mass General Brigham, saving over $1M annually. Similarly, Oregon Health & Science University saw a 70% drop in radiology coding denials after implementing CodaMetrix. The CMX CARE™ platform not only improves upfront accuracy but also continuously evolves—leveraging denial data from our customers to further enhance coding performance and ensure alignment with ever-changing payer requirements.

Use Cases

Description:

Reducing Documentation burden and Physician Burnout with Scrivas SAI

Dr. David Joyce’s Case Study

Services: SAI, AI-POWERED MEDICAL SCRIBE SERVICE

Dr. David Joyce’s Experience at Advanced Medical Treatment Center

Physician burnout is a growing concern in healthcare, driven by the excessive administrative burden, especially in medical documentation. 

For physicians like Dr. David Joyce, an interventional pain management physician at Advanced Medical Treatment Center, managing a high volume of patient documentation while maintaining high-quality care can quickly become overwhelming.

Dr. David Joyce, an interventional pain physician at Advanced Medical Treatment Center, specializing in diagnosing and treating chronic, acute, and sub-acute pain. This practice often requires detailed documentation to ensure accuracy and proper follow-up care.

Before integrating SAI, Dr. Joyce found himself spending significant time after clinic hours completing paperwork.

Recognizing the need for a more efficient solution, Dr. Joyce adopted Scrivas’ SAI platform to streamline his documentation process. By automating many routine tasks,

such as transcribing patient encounters and creating detailed medical notes, SAI allowed Dr. Joyce to spend more time with patients and less on administrative work.

The platform’s AI technology automatically generates notes during clinical encounters, leaving Dr. Joyce with only minimal edits to ensure accuracy and contextual relevance.

Scrivas worked closely with Dr. Joyce to integrate the SAI platform into his practice, ensuring a solution tailored to his specific documentation needs. The implementation

of SAI centered on reducing the documentation burden, allowing Dr. Joyce to provide better care while alleviating the stress associated with excessive administrative work.

Customized AI Integration: Scrivas customized the platform to meet Dr. Joyce’s specific needs for documentation, ensuring that SAI could manage the detailed notes required for his practice.

Automated Documentation: SAI efficiently transcribed patient encounters and generated detailed notes, freeing Dr. Joyce from documentation burden and allowing him to focus on patient care

Hybrid Model with Human Oversight: While the platform generated most of the documentation, Dr. Joyce maintained the ability to review and make minimal adjustments, ensuring that all documentation was accurate and comprehensive.

Time-Saving Benefits: The AI-powered automation allowed Dr. Joyce to complete documentation much faster, giving him more time to focus on his patients and leaving the clinic earlier each day.

This has significantly reduced his documentation burden, especially at the end of his busy clinic days, where he typically sees 30+ patients.

Additionally, SAI was customized to meet the specific documentation needs of Dr. Joyce’s practice, saving him one to two hours a day on average. Overall, SAI has helped reduce Dr. Joyce’s post-clinic documentation workload.

Pediatric use cases:

AI Documentation Solution 

Users:

Dr. Joyce specializes in evaluating, diagnosing, and treating chronic, acute, and sub-acute pain through injections and minimally invasive surgical procedures.

As his practice became busier, the time he spent documenting patient encounters and procedures increasingly detracted from his ability to focus on patient care. Recognizing this widespread issue of physician burnout, Scrivas saw the need for a solution that

would reduce the time spent on documentation, alleviate burnout, increase efficiency, and ultimately improve patient care.

This led to the development of SAI, an AI-powered

medical scribe service designed to streamline operations and enhance efficiency through seamless integration. With a patient-focused, user-friendly interface, SAI enables physicians to spend more time with patients and less time on administrative work.

Description:

CodaMetrix provides autonomous coding services for the following specialties for both inpatient and outpatient scenarios:

  • Diagnostic Radiology
  • Interventional Radiology
  • Anatomic Pathology
  • GI and Special Procedures
  • Surgery
  • Bedside Professional Visits
  • Emergency Department
Pediatric use cases:

Yes, CodaMetrix is currently contracted with Children's Health Systems. 

Users:

The primary users of the CMX CARE™ platform are designated Medical Coders, who engage with the system to review, validate, and oversee coding outcomes. A core goal of the platform is to relieve physicians of medical coding tasks and reduce administrative burden—enabling them to focus on patient care. In addition, revenue cycle and health system leadership use CMX Insights™ to gain real-time visibility into coding automation, accuracy, financial performance, and compliance. These insights support strategic decision-making, operational efficiency, and long-term revenue integrity across the organization.

EHR Integrations

Integrations:

Acute care EMR, Ambulatory EMR

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, athena, NextGen, eClinicalWorks, Meditech, Allscripts

Hardware Compatibility:

Desktop, Mobile / Tablet (native app), Mobile / Tablet (web optimized)

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, Pop health platform, ADT, Access +/or revenue cycle

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic, Cerner, Other, Meditech, athena, Athenahealth, GE

Hardware Compatibility:

Mobile / Tablet (web optimized), Desktop

Client Types

Awards

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Differentiators

Differentiators vs EHR Functionality:

Seamless EHR integration to major EHR's such:  

  1. Epic
  2. Cerner,
  3.  Athenahealth
  4.  eCW and more. 
Differentiators vs Competitors:

Hypercustomizable to any workflow, speciality and physician documentation preferences. 

Providing real time clinical documentation insights/suggestions. 

Scalable approach, with the ability to incorpoate our tool into a clinic workflow whether it's standalone, or hybrid (scribe + AI empowerment) 

White glove support and training throughout and after implementation. 

Differentiators vs EHR Functionality:
  • Codametrix offers fully autonomous coding vs. computer assisted coding (suggested code sets) 
  • Professional coder productivity reporting
  • Ease of performing QA and auditing with Coding Manager tools for self service coding QA (including building in custom rules and sampling)
Differentiators vs Competitors:
  • Built by Providers, for Providers: Developed out of Mass General Brigham, CodaMetrix is trained on real, clinically validated data—not synthetic datasets—ensuring high accuracy tailored to the complexity of large health systems.

  • Complete Clinical Context: Our platform ingests both structured and unstructured data to build a longitudinal patient record, enabling smarter, more accurate coding across specialties like radiology, pathology, surgery, and E/M.

  • Human-in-the-Loop Automation: With CMX Amplify™, coders receive real-time feedback and decision support, improving productivity, accuracy, and audit readiness through a continuous learning loop.

  • Accuracy That Reflects Reality: CodaMetrix delivers 96%+ automation accuracy across all eligible automated cases—not just ideal scenarios—driving better reimbursement, compliance, and performance.

  • Actionable Analytics: CMX Insights™ provides real-time visibility into automation, financial impact, and denial trends, helping leaders make data-driven decisions.

  • Provider-Owned & Epic-Proven: As a provider-owned company and trusted Epic Toolbox member, we bring deep expertise in seamless EHR integration and scalable results.

Health Equity

Keywords

Images

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Videos

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SAI - Enhancing Clinical Documentation

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Downloads

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SAI Case Study
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University of Miami Case Study.pdf

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Company Details

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