10 Best End-to-End RCM Solutions for US Health Systems

According to the American Hospital Association, US hospitals spent an estimated $43 billion in 2025 trying to collect payments insurers owed for care already delivered. This burden stems from prior authorization requirements, claim denials, repeated documentation requests, and changing payer billing and coverage rules.

End-to-end revenue cycle management (RCM) solutions can help mitigate these challenges by automating revenue-cycle workflows, preventing avoidable denials, streamlining collections, and reducing administrative effort. However, their capabilities, integration approaches, and operating models vary.

This article compares 10 of the best end-to-end RCM solutions for US health systems, covering their key features, operating models, and ideal use cases to help you choose the right solution.

1. CombineHealth

CombineHealth is a self-learning, autonomous, end-to-end RCM platform that connects front-, middle-, and back-office revenue-cycle workflows through connected, self-learning automation. The platform supports eligibility verification, autonomous medical coding, CDI, pre-bill claim validation, denial management, A/R follow-up, appeals, and analytics.

CombineHealth’s approach connects upstream billing decisions with downstream payer outcomes, helping revenue-cycle teams identify recurring problems and apply validated improvements to future claims.

Key feature #1: Automation Across Front-, Middle-, and Back-office RCM

CombineHealth automates RCM workflows throughout the financial lifecycle.

• Front end: Eligibility, demographics, coverage, authorization and referral checks, and patient-responsibility information.
• Middle: Autonomous medical coding, coding audits, CDI, medical-necessity checks, modifiers, payer rules, and claim validation.
• Back end: Denial categorization, A/R prioritization, payer follow-up, claim denial appeals, underpayment analysis, and reporting.

Recommended Read: Denial Management in Healthcare

Key Feature #2: Autonomous Medical Coding with Integrated CDI

CombineHealth reviews the complete clinical encounter to generate or validate billing-ready medical codes. It connects medical code selection with supporting clinical evidence and identifies documentation gaps during the same workflow.

The platform distinguishes routine CDI alerts from documentation issues requiring provider clarification. 

Recommended Read: Clinical Improvement Software

Key Feature #3: Pre-bill Denial Prevention

CombineHealth checks medical claims for potential issues before submission, reducing the need to discover avoidable problems during payer adjudication.

Its validation process considers eligibility, demographic accuracy, authorizations, documentation sufficiency, diagnosis-procedure relationships, medical necessity, modifiers, payer-specific requirements, duplicate-submission risks, and organization-specific rules.

Exceptions requiring clarification can be reviewed before the claim progresses.

Key Feature #4: Payer Intelligence Across the Revenue Cycle

CombineHealth connects published payer and CMS requirements with each healthcare organization's internal billing rules and applies them across its RCM workflows, including medical coding, claim validation, and denial management.

The platform also learns from previous claim outcomes by analyzing denials, reimbursements, underpayments, and payer edits to identify recurring patterns and their underlying causes. These insights inform proposed rule and workflow improvements, which are validated and approved before being applied to future claims.

This continuous feedback loop helps prevent recurring denials, improve claim accuracy, and optimize medical claim reimbursement over time.

Recommended Read: Why Payer Intelligence Is Important in AI Medical Coding

Key Feature #5: Explainability and Audit Trails

CombineHealth provides traceability for consequential medical coding and claim decisions. Revenue-cycle and compliance teams can review the documentation examined, supporting clinical evidence, selected codes, applicable guidelines, payer requirements, and reasons for exceptions.

The platform also supports visibility into user changes, final decisions, and downstream claim outcomes.

These records help teams review automated decisions and maintain oversight of medical coding quality and billing compliance.

Recommended Read: Explainability in AI for Healthcare RCM

Key Feature #6: Integration With Existing RCM Systems

CombineHealth integrates with existing electronic health records (EHRs) and practice management systems (PMSs), including Epic, Oracle Health (Cerner), athenahealth, eClinicalWorks, NextGen, ModMed, and AdvancedMD, without requiring organizations to replace their existing systems.

The platform supports secure web access, APIs, HL7, and custom interfaces for data retrieval and write-back, with AWS hosting and HIPAA-aligned safeguards.

CombineHealth's EHR integration capabilities can be configured around each healthcare organization's existing systems, workflows, and site-specific requirements.

CombineHealth's Reported Results

Across deployments, CombineHealth reports:

• 98.4% medical coding accuracy.
• Up to 85% autonomous coding.
• Up to 75% fewer coding-related denials.
• Five times more CDI opportunities identified.
• Up to 4% higher captured revenue.

CombineHealth Helped Brault Achieve 98%+ Coding Accuracy and 2-Week Go-Lives

Brault achieved 98%+ accuracy across key medical coding dimensions while maintaining coding turnaround below 12 hours, even during 2–3× volume spikes. With CombineHealth's autonomous coding platform, Brault also reduced new-site deployment time from approximately six weeks to two weeks.

Read Case Study

75% Fewer Coding-Related Denials in Just 3 Months with CombineHealth

A 400-bed hospital reported a 75% reduction in coding-related denials, 5× more CDI opportunities, and a 4% increase in captured revenue within three months of implementing CombineHealth's coding and documentation workflow.

Best for: US health systems seeking AI automation across the revenue cycle while retaining control of their technology and operating model.

2. R1 RCM

R1 RCM provides enterprise revenue cycle management through comprehensive operating partnerships and its modular Phare OS platform.

The platform connects front-, middle-, and back-office workflows through Phare Access, Phare Claim, and Phare Flow. 

Its underlying capabilities include Phare Intelligence for clinical record interpretation, coding, and appeals, and Payer Atlas for payer connectivity and policy intelligence.

Best For: Large health systems evaluating enterprise RCM transformation, managed operations, or modular AI-powered revenue-cycle technology.

3. Ensemble Health Partners

Ensemble Health Partners provides end-to-end revenue cycle management partnerships that combine operational staff, technology, and revenue-cycle strategy.

Its services cover patient access, authorizations, medical coding, documentation management, billing, denial recovery, and collections. Ensemble's EIQ intelligence platform uses machine learning to analyze inpatient claims before billing, identify potential documentation and coding issues, and support denial prevention. 

Best For: Health systems seeking a comprehensive managed RCM partnership with technology, staffing, and operational support.

4. Conifer Health Solutions

Conifer Health Solutions offers end-to-end RCM outsourcing and targeted services for hospitals, health systems, and physician groups.

Its services cover patient access, clinical revenue integrity, and accounts receivable management. Conifer uses ConiferCore, its enterprise medical coding platform, to integrate with existing systems and support workflow automation, performance analytics, and revenue-cycle operations.

Conifer also provides operational resources for organizations seeking to delegate selected or comprehensive revenue-cycle responsibilities.

Best For: Hospitals seeking full RCM outsourcing or targeted operational support across patient access, coding, and A/R.

5. Waystar

Waystar provides an end-to-end revenue cycle management software platform covering financial clearance, clinical revenue integrity, claims processing, payments, and denial recovery.

Its AI-powered Clinical Documentation Integrity (CDI) solution uses AltitudeAI to identify documentation gaps, highlight potential coding opportunities, and prioritize high-impact patient records for review. Its Prebill Anomaly Detection solution supports post-discharge review by flagging documentation deficiencies and potential DRG and ICD-10 coding inaccuracies before claim submission.

Best For: Health systems seeking AI-powered CDI, assisted coding review, physician-query management, pre-bill validation, and broader claims and payment management.

6. FinThrive

FinThrive provides enterprise revenue cycle management software through FinThrive Fusion, a platform that connects patient access, billing, reimbursement, and operational data.

Its solutions cover insurance discovery, digital patient intake, authorizations, revenue integrity, chargemaster management, payer contracts, claims, denials, A/R, and government reimbursement.

FinThrive also offers AI-powered workflow automation, predictive denial prevention, intelligent appeals, and optional managed A/R recovery services.

Best For: Health systems seeking an enterprise RCM platform with extensive patient access, financial management, revenue recovery, and optional services capabilities.

7. Infinx

Infinx combines AI-powered revenue cycle technology with specialist RCM services for hospitals, health systems, and physician groups.

Its Healthcare Revenue OS connects AI agents, workflow orchestration, payer integrations, and RCM experts. Infinx offers Patient Access Plus for financial clearance and authorizations, alongside RCM Plus for claims, A/R recovery, and denial management. Its capabilities also extend to medical coding, revenue integrity, and billing.

Best for: Healthcare organizations seeking a combination of AI automation and specialist RCM support.

8. AGS Health

AGS Health’s Autonomous Coding solution uses a hybrid human-in-the-loop model, combining AI with certified medical coders to handle complete chart volumes. Feedback from coders continuously improves the AI models, increasing automation coverage and reducing manual intervention over time.

The AGS AI Platform also includes computer-assisted coding (CAC), computer-assisted professional coding (CAPC), CDI, pre-bill auditing, intelligent authorization, and AI agents for broader revenue-cycle workflows.

AGS Health additionally offers optional staffed services for patient access, coding, denials, A/R, and payment recovery.

Best For: Health systems seeking AI-powered RCM automation with the flexibility to combine autonomous coding technology and specialist operational support.

9. CorroHealth

CorroHealth provides end-to-end revenue cycle technology and specialist services for hospitals and health systems.

Its technology portfolio includes PULSE for autonomous medical coding, VISION for clinical documentation validation and CDI, and PRISM for AI-powered denial management, underpayment recovery, and A/R optimization.

CorroHealth also offers specialist services across medical coding, utilization management, and revenue recovery.

Best For: Health systems seeking AI-powered clinical revenue integrity, autonomous coding, and optional specialist RCM support.

10. Experian Health

Experian Health provides revenue cycle management software covering patient access, claims management, payer reimbursements, and patient collections.

Its Patient Access Curator automates eligibility verification, insurance discovery, demographic checks, and coordination of benefits. ClaimSource manages claims and remittances, while Claim Scrubber validates coding accuracy and payer-specific requirements.

AI Advantage predicts denials using historical claims and payer behavior. Experian also offers Contract Manager for payer reimbursement audits and underpayment identification.

Best For: Health systems seeking connected patient access, claims management, AI-powered denial prevention, payer contract management, and patient payment solutions.

What Qualifies as an End-to-End RCM Solution?

An end-to-end RCM solution supports the financial lifecycle from scheduling and insurance verification through documentation, coding, claim submission, payment, denial resolution, A/R follow-up, appeals, patient collections, and performance reporting. True end-to-end coverage requires connected workflows and data, not merely a collection of unrelated products.

For US health systems, this coverage should connect front-end patient access and eligibility, middle-cycle documentation and coding, and back-end denial resolution and collections. When downstream payer outcomes reveal a recurring issue, revenue-cycle teams should be able to trace it to the upstream workflow and correct its cause.

This trace-and-correct loop is exactly how CombineHealth operates: when a downstream payer outcome (a denial, an underpayment, a payer edit) reveals a recurring issue, the platform links it back to the upstream eligibility, documentation, or coding decision that caused it, proposes a validated rule or workflow update, and applies it to future claims. That closed loop across connected workflows is what separates genuine end-to-end coverage from a bundle of separate products.

End-to-End RCM Software vs. Outsourcing

End-to-end RCM solutions can operate as software platforms, managed services, or full outsourcing partnerships. The key distinction is who owns daily operations, supplies staffing, and remains accountable for revenue-cycle performance.

Among the solutions in this guide, CombineHealth sits firmly in the software-platform column: it automates eligibility, coding, denials, A/R, and appeals as technology your team runs, so a health system can cut denials and manual effort without transferring staff or restructuring operations the way full outsourcing requires. 

Because the platform is self-learning, it keeps improving on your payers' behavior while you keep control of the operating model — the reason a 400-bed hospital saw 75% fewer coding-related denials within three months of going live.

Recommended Read: Outsourcing RCM: What to Consider

How We Evaluated End-to-End RCM Solutions

We evaluated the solutions based on their suitability for US health systems, focusing on revenue-cycle coverage, automation capabilities, integration, and demonstrated outcomes.

• End-to-end RCM coverage: Patient access, hospital and professional billing, coding and CDI, revenue integrity, pre-bill validation, claims, payments, denials, A/R, appeals, underpayment recovery, and patient collections.
• Automation and intelligence: RCM workflow automation, denial prevention, revenue-cycle analytics, explainability, and auditability.
• Integration and implementation: EHR compatibility, payer connectivity, integration with existing workflows, and implementation evidence.
• Health-system experience and outcomes: Experience serving US health systems, published customer results, and transparency around software, managed services, and outsourcing models.

Choose an End-to-End RCM Solution That Fits Your Health System

The right RCM solution depends on your health system's workflows, technology, and operational needs. Compare vendors based on automation capabilities, integration requirements, and proven results.

CombineHealth is a self-learning, autonomous RCM platform covering eligibility, coding, billing, denials, A/R, and appeals. It uses payer outcomes to improve future coding and claim validation, helping prevent recurring denials.

Book a demo to see how it can improve your revenue-cycle operations.

Frequently Asked Questions

What makes CombineHealth a strong fit for US health systems?

CombineHealth automates the full revenue cycle — eligibility through appeals — as software a health system runs itself, so teams gain AI automation and denial prevention while keeping operational control rather than transferring staff to an outsourcer. It integrates with existing EHRs such as Epic, Oracle Health (Cerner), and athenahealth without replacement, and learns from each payer's behavior to help prevent recurring denials.

What results has CombineHealth delivered for health systems?

Across deployments, CombineHealth reports 98.4% coding accuracy, up to 85% autonomous coding, up to 75% fewer coding-related denials, 5x more CDI opportunities, and up to 4% higher captured revenue. A 400-bed hospital cut coding-related denials 75% within three months, and Brault sustained 98%+ accuracy across key coding dimensions while reducing new-site go-lives to about two weeks.

Can End-to-End RCM Software Integrate With Existing EHR Systems?

Yes. Many end-to-end RCM platforms integrate with existing electronic health records (EHRs), practice management systems, and billing software. Integration capabilities vary by vendor, so health systems should evaluate data exchange, workflow compatibility, and implementation requirements before choosing a solution.

How Does AI-Powered RCM Help Prevent Recurring Claim Denials?

AI-powered RCM solutions can identify documentation gaps, coding errors, and payer-specific issues before claim submission. Some platforms also analyze past denials, reimbursements, and payer responses to improve future coding and claim validation, helping reduce recurring, avoidable denials.

Is End-to-End RCM Software Better Than RCM Outsourcing?

It depends on the health system's operational needs. Software-led RCM is suitable for organizations wanting to automate workflows while retaining operational control. Outsourcing may be preferable for hospitals needing additional staffing, specialized expertise, or a vendor to manage revenue-cycle operations.