Products

CombineHealth
CombineHealth
Medical Billing & RCM
CombineHealth offers an end-to-end AI revenue cycle automation platform that leverages proprietary agentic and generative AI, trained on billions of medical records, to streamline eligibility checks, medical coding, CDI, billing, denials, and AR workflows for healthcare providers, aiming for zero revenue leakage.

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About CombineHealth

CombineHealth is an AI-powered revenue cycle management (RCM) platform dedicated to achieving “zero revenue leakage” for healthcare organizations. It offers a comprehensive suite of AI solutions designed to automate and optimize every stage of the revenue cycle, including patient intake, insurance verification, medical coding, claims submission, denial management, and accounts receivable follow-up. The platform utilizes proprietary agentic and generative AI models, trained on extensive healthcare data, to improve coding accuracy, reduce accounts receivable, and enhance payment consistency across various specialties.

A key differentiator for CombineHealth is its commitment to Explainable AI and a “Human-in-the-Loop” approach. This means the platform provides transparency and explanations for its decisions, from coding selections to claim processing actions, ensuring audit readiness and building trust. The AI proactively flags uncertain cases for human review, allowing healthcare staff to focus on complex, high-value tasks while the AI handles repetitive workflows. Their solutions are designed to integrate seamlessly with existing EHR systems, avoiding costly overhauls and enabling immediate savings.

CombineHealth’s AI workforce includes specialized agents like Amy (AI Medical Coder), Mark (AI Medical Biller), Adam (AI Denial Manager), Rachel (AI Appeals Manager), Jessica (AI Medical Scribe), Penny (AI Policy Reviewer), and Taylor (AI Data Analyst). These agents automate tasks such as clinical documentation, autonomous coding with customizable configurations, end-to-end billing, automated claim tracking, denial analysis, consistent appeal management, and real-time error detection. This approach aims to accelerate cash flow, redefine revenue cycle performance through seamless automation and human-in-the-loop reliability, allowing providers to focus on patient care rather than collections.

Focus Areas

AI-powered revenue cycle management medical coding medical billing denial management appeals eligibility verification revenue leakage prevention healthcare RCM automation

Business Intelligence

Key InvestorsY Combinator, Emergent Ventures
PartnershipsKodiak, KANA, Homeward, Union Health, Derma Clinic, Brault, Edelberg, Fountain Hills, Medcor, City Dermatology Skin Institute, InnoviHealth
TechnologyProprietary agentic and generative AI technology, built on 20+ years of healthcare data, trained on billions of medical records, explainable AI, human-in-the-loop workflows, consistency, auditability, continuous learning, seamless EHR integration, SOC 2 Certified, HIPAA Compliant

What Physicians Need to Know

AI-Powered Revenue Cycle Management (RCM)
CombineHealth offers an AI-first, end-to-end RCM platform designed to automate, streamline, and optimize every stage of the revenue cycle, from patient intake to final payment. Their core mission is to achieve 'zero revenue leakage' for healthcare organizations by enhancing accuracy, improving efficiency, reducing costs, and accelerating cash flow.
Autonomous Medical Coding (Amy AI)
Their AI Medical Coder, Amy, provides autonomous ICD-10/CPT coding with 99.2% accuracy and 100% compliance. It leverages Natural Language Processing (NLP) and machine learning to interpret clinical documentation, assign codes, and apply modifiers, offering explainable AI with line-by-line rationale and audit trails. It also supports human-in-the-loop escalation for complex cases.
Intelligent Medical Billing (Mark AI)
Mark, the AI Biller, handles end-to-end claim submission by integrating directly into existing EHR and practice management workflows. It autonomously navigates over 50 payer portals, applies payer-specific billing SOPs, performs eligibility verification, validates codes and modifiers, and prepares charges for submission.
Proactive Denial Management & Appeals (Rachel & Adam AI)
CombineHealth significantly reduces claim denials through proactive measures and automated processes. Rachel, the AI Appeals Manager, drafts payer-specific appeals, extracts medical necessity evidence, and predicts success likelihood. Adam, the AI Denial Manager, navigates payer portals, checks claim status in real-time, and makes AI-driven calls for prior authorization disputes and appeals.
Real-time Eligibility Verification
Integrated within their billing solutions, CombineHealth's AI agents perform real-time eligibility verification by navigating numerous payer portals and aggregators. This ensures accurate patient coverage and benefits information before services are rendered, preventing denials due to outdated or inaccurate data.
Revenue Leakage Prevention
A core mission of CombineHealth is 'zero revenue leakage.' Their platform achieves this by automating workflows, ensuring high accuracy in coding and billing, proactively preventing denials, and providing advanced analytics to identify and address potential revenue loss areas.
Healthcare RCM Automation (AI Workforce)
CombineHealth provides a comprehensive 'AI workforce' with specialized agents (Amy, Mark, Rachel, Adam, Jessica, Penny, Taylor) that work in tandem with human staff. This automates repetitive RCM tasks, streamlines workflows, and boosts financial outcomes across coding, billing, denial management, appeals, eligibility, medical scribing, policy review, and analytics.
AI Medical Scribing (Jessica AI)
Jessica, the AI Medical Scribe, automates clinical documentation, reducing charting time by up to 70% while improving accuracy and patient care quality. It integrates seamlessly with EHRs, converts voice-to-text medical notes, and digitizes handwritten documentation.
Payer Policy Review (Penny AI)
Penny, the AI Policy Reviewer, continuously monitors and analyzes payer policy changes. This ensures ongoing compliance with the latest regulations and optimizes claim submissions based on current payer-specific requirements.
Advanced RCM Analytics (Taylor AI)
Taylor, the AI Revenue Cycle Analyst, provides real-time, AI-powered insights and analytics across the entire RCM process. It identifies trends, predicts revenue, pinpoints areas for optimization, and offers KPI dashboards for performance monitoring and cash flow forecasting.
Physician Tip

For physicians, CombineHealth stands out by significantly reducing administrative burden, allowing more focus on patient care. Their AI-powered solutions lead to accelerated cash flow and higher collections by improving clean claim rates and drastically cutting down on denials. The AI medical scribe (Jessica) reduces charting time by 70%, enhancing documentation quality. Furthermore, the platform's high accuracy (99.2%) and compliance (100%) minimize audit risks and penalties, including optimizing MIPS performance. The explainable AI provides transparency, building trust in automated processes, and seamless integration with existing EHRs avoids disruptive system overhauls.

CombineHealth is built for seamless integration with a wide range of Electronic Health Record (EHR) systems, including major platforms like Epic, Oracle Health (Cerner), and MEDITECH. Integration is supported through APIs, HL7, and custom interfaces, ensuring a smooth and secure connection without requiring a 'rip-and-replace' of existing systems. They work closely with IT departments to ensure compatibility and enhance, rather than overhaul, current workflows.

Products by CombineHealth

1 product in the directory

CombineHealth
CombineHealth
Medical Billing & RCM
CombineHealth offers an end-to-end AI revenue cycle automation platform that leverages proprietary agentic and generative AI, trained on billions of medical records, to streamline eligibility checks, medical coding, CDI, billing, denials, and AR workflows for healthcare providers, aiming for zero revenue leakage.

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Press & Coverage

CombineHealth Blog
Will AI Replace Medical Coders? The Real Answer for 2026
This article discusses how AI is automating routine medical coding tasks, but emphasizes that human coders remain essential for interpreting ambiguous documentation and handling complex cases. CombineHealth's AI platform aims for autonomous coding with human oversight.
2026-08
CombineHealth Blog
Traditional vs. AI Medical Coding: Which Model Works Better for Healthcare Organizations?
This article compares traditional and AI medical coding, highlighting how CombineHealth's AI solution, 'Amy,' achieves high accuracy and faster turnaround times, especially in demanding specialties like emergency medicine.
2026-08
Y Combinator
Automating Healthcare Revenue Cycle Management with AI Workforce
CombineHealth, founded in 2022 by Sourabh Agrawal and Shikha Mohanty, is focused on automating healthcare Revenue Cycle Management (RCM) with an AI workforce. The company has 15 employees and is based in San Francisco.
2026-03
PitchBook
CombineHealth 2026 Company Profile: Valuation, Funding & Investors
CombineHealth has raised $500K in early-stage venture capital funding, with investments from Emergent Ventures and Y Combinator. The company was founded in 2022 and is headquartered in San Francisco, CA.
2025-11
CombineHealth Blog
Autonomous Medical Coding in 2026: Accuracy, Denials, Payer Rules & ROI
This article details how autonomous medical coding, powered by AI, can significantly reduce denials, boost accuracy, and cut administrative costs. CombineHealth's platform, Amy, is highlighted for its ability to autonomously code a high percentage of charts with high accuracy.
2025-11
CombineHealth Blog
How AI Revolutionizes RCM: Fewer Denials, and Higher ROI
This article explains how AI workforce solutions, like CombineHealth's, are transforming revenue cycle management by leading to higher collections, lower operational costs, and significant reductions in claim denials and A/R days.
2025-06
CombineHealth Case Study
CombineHealth AI Outperforms Expert Coders Across 1,000 Emergency Department Charts
A case study demonstrating that CombineHealth's AI achieved 97% coding accuracy, 50% faster turnaround, and identified five times more documentation gaps than traditional coding in a parallel study of 1,000 emergency department charts.
2024-01
CombineHealth Case Study
20% Fewer Denials Across 10,000+ Claims
This case study highlights how a 30+ provider health center reduced denials by 20% and identified over 250 false denials with 97.4% accuracy across more than 10,000 claims using CombineHealth AI.
2024-01

Frequently Asked Questions

CombineHealth provides an end-to-end AI platform for RCM, featuring specialized AI agents like Amy for medical coding, Mark for medical billing and eligibility verification, and Rachel for appeals management. These agents automate tasks from patient intake and claim submission to denial management and accounts receivable follow-up, aiming to enhance accuracy and accelerate cash flow.
CombineHealth's platform includes AI agents like Adam for denial management and Rachel for appeals, which proactively identify root causes of denials, draft payer-specific appeal letters, and track deadlines. The system also employs Penny for policy review and Taylor for revenue cycle optimization, continuously monitoring RCM performance to prevent revenue leakage through intelligent claim scrubbing and predictive analytics.
CombineHealth is HIPAA and SOC 2 Type 2 certified, with its AI technology built on proprietary, healthcare-specific datasets. The platform emphasizes transparency and human oversight through 'human-in-the-loop' workflows, explainable AI outputs, and comprehensive audit trails, ensuring healthcare professionals maintain control and can verify or override AI decisions.
CombineHealth's AI agents are designed to integrate seamlessly with existing EHR and billing systems, automating tasks like charge entry and claim submission without disrupting current workflows. The company maintains a 'human-in-the-loop' model, where AI identifies and flags complex or unusual cases for human expertise, ensuring a balance between efficiency and expert judgment.
While specific pricing details are not publicly disclosed, some smaller users have perceived CombineHealth's monthly pricing as potentially steeper compared to traditional clearinghouses. However, clients have reported significant ROI, including up to 15% higher collections, a 40% reduction in A/R days, and a 12% reduction in claim denials. CombineHealth emphasizes dedicated customer support and a long-term partnership approach.
CombineHealth offers a Solutions Partner Program for RCM services, healthcare IT solutions, and consulting/training, aiming to accelerate growth for businesses and their clients through AI integration. Founded in 2022 by Shikha Mohanty and Sourabh Agrawal, the San Francisco-based company is venture capital-backed, with an estimated annual revenue of over $1.2 million and a valuation of $4.2 million, indicating a stable and growing presence in the market.

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