Charlotte, NC – November 21, 2024 – aiHealth, the leading multi-specialty autonomous coding company, is excited to announce the official release of its highly anticipated E/M Autonomous Coding module purpose-built for outpatient ambulatory specialty practices. This cutting-edge solution reimagines and enhances medical coding processes, delivering AI-enabled autonomous coding and direct-to-bill capabilities, improving revenue cycle performance, mitigating compliance risk, and supporting Clinical Documentation Integrity (CDI) initiatives.
“aiHealth is setting a new benchmark for efficiency and accuracy in medical coding with our E/M Autonomous Coding module, powered by specialty-specific models. Our vision is to leverage category-leading technology, freeing up valuable coder resources to focus on complex cases across office-based and surgical procedures in a single expectation-based coding workflow,” says Kyle Swarts, President of aiHealth.
The E/M Autonomous Coding module represents a significant milestone in aiHealth’s mission to revolutionize the healthcare coding landscape and further increase its market-leading position in the ambulatory and outpatient care settings. By leveraging specialized artificial intelligence and machine learning (AI-ML) models built for each ambulatory market and trained on domain-specific data, this module allows clients to automate the coding of hundreds of thousands of office visits with unparalleled speed and accuracy.
“We’ve added five new clients in the last two months representing specialty provider organizations and revenue cycle management companies, expanding our footprint in Orthopedics/MSK, ENT, Gastroenterology, Lab/Pathology, Urology, Cardiology, and Rheumatology. This is a testament to the market adoption of autonomous coding and the belief in aiHealth’s robust solution,” Kyle Swarts continues.
With aiHealth’s E/M Autonomous Coding Module, Practices Can Expect:
Streamlined E/M & Surgical Coding Process: The E/M Autonomous Coding module, paired with our current Surgical Coding capabilities, automates the review of extensive office visit encounter data, enabling faster and more efficient coding with direct-to-bill capabilities in a unified, user-friendly workflow.
Enhanced Compliance and Documentation: Clients benefit from strengthened compliance, real-time auditing, and clinical documentation integrity, ensuring regulatory adherence with increased capacity for provider education.
Productivity and Revenue Increases: Early adopters have reported a 50% increase in coder productivity and significant revenue growth due to more efficient coding
Workflows. Additionally, wRVUs are increasing by 3-5% annually while reducing charge lag by an average of 5 business days.
aiHealth’s Vision for the Future:
The release of the E/M Autonomous Coding module marks the continuation of a broader vision for aiHealth. With our Surgical (Pro-Fee) AI-ML models live and operational for 24 months, aiHealth will bring autonomous coding models to facility-based encounters in early 2025 while concurrently expanding integration capabilities with ambient scribe platforms and other revenue cycle integrators. Additionally, aiHealth will broaden its current integration capabilities with Veradigm, athena, NextGen, ModMed, gGastro, Aprima, Epic, AvodahMed, DocBuddy, and AlphaII/RCxRules.
About aiHealth:
aiHealth’s advanced AI platform automates repetitive, multi-specialty CPT® coding tasks, reducing manual intervention, lowering costs, and improving physician satisfaction. Unlike computer-assisted coding, our contemporary technology streamlines administrative processes, enhances workflow efficiency, and accelerates revenue while delivering quality care amidst the scarcity of medical coders, other staffing challenges, financial pressures, and provider burnout. aiHealth reduces coding turn-around times from minutes to seconds, routing complex exceptions to expert coders and allowing professionals to work at the top of their credentials.
