Charta
Charta Health offers an AI-powered platform that automates chart review by analyzing every medical chart (pre-bill, pre-visit, or post-bill) to capture missed revenue opportunities, ensure coding accuracy, and support payer-compliance needs. Its proprietary AI engine reviews 100% of patient charts, surfacing under-coding, missed billable services, coding errors, and documentation gaps, with evidence-based justifications and dashboards for auditing and tracking. For revenue integrity, the platform can increase RVUs per patient by up to 15.2% and average revenue uplift of 11%, while enabling full audit coverage at one hundred percent for a fraction of the typical audit cost. It also addresses clinical-quality workflows by validating documentation against standards such as HEDIS/STARS, integrating with clinical-decision support tools, and generating provider feedback loops, which help improve patient outcomes and reimbursement tied to quality.
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Amy by CombineHealth
Amy by CombineHealth is an AI medical coding automation solution that helps mid-sized hospitals and multi-specialty physician groups automate complex coding workflows with confidence. Amy supports CPT, ICD-10, HCPCS, E/M, modifiers, and specialty-specific coding requirements.
Amy analyzes clinical documentation, coding guidelines, payer logic, and specialty-specific rules to generate accurate, explainable coding recommendations. It helps identify missed services, documentation gaps, undercoding opportunities, and coding exceptions, with evidence for each suggested code.
A key differentiator is Amy’s feedback loop: for every chart it codes, downstream claim outcomes such as denials, payer responses, and reimbursement results are used to improve future coding performance and reduce repeat errors. In production, Amy has delivered 98%+ coding accuracy, up to 85% coding automation, and a 75% reduction in coding-related denials.
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AGS Computer-Assisted Coding
AGS Health's Computer-Assisted Coding (CAC) software helps hospitals and physicians simplify the ICD-10, CPT, HCPCS, and E/M coding process; increases your coder productivity while cutting denials, missed charges, and low-risk scores.
Computer-Assisted Coding also known as medical coding software helps to boost productivity and make critical decisions faster while reducing denials, missed charges, and low-risk scores. The AGS Computer-Assisted Coding (CAC) module enables flexible and scalable coding of professional and facility operations to increase accuracy, productivity, and flexibility.
Features:-
- NLP-Based ICD-10-CM, PCS, CPT, and E&M Code Automation: Leverages NLP to automatically suggest billable codes from different types of clinical documents.
- One-Click Coder Validation & Acceptance: Automatically identify charts that have potential queries for seamless validation and acceptance.
- Always Up to Date: Our Clinical NLP engine is always learning and improving base.
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iMedX
iMedX, Inc. provides clinical documentation and revenue-cycle solutions designed to help healthcare providers focus on patient care rather than administrative burdens. The platform supports AI medical coding, standard medical coding, clinical documentation, abstraction of core measures, and revenue-cycle-management workflows. Their AI medical coding offering, part of the ‘RCM Companion Suite’, uses advanced machine-learning to improve accuracy, reduce denials, and accelerate payments by automating case-routing, pre‐populating codes, guiding coders in real time, and surfacing documentation gaps before claims leave the organization. Users gain features such as intelligent case routing to the right coder, autonomous resolution of routine cases, in-moment assistance through an AI assistant, and embedded audit tools that identify missed reimbursement, documentation errors, and compliance risks.
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