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

Categories

Solutions

Description

Product Description:
iCAN - RCM Platform provides AI agent assisted automation of tedious and time-consuming manual processes increasing efficiency and alleviating staff shortages for a variety of use-cases: • Correspondence Management • Cash Management – payment posting & reconciliation • Prior Authorization • Denial Management
About CognitiveHealth Technologies LLC:

Product Description:

Amy - AI Medical Coding solution revolutionizes healthcare revenue cycle management through advanced artificial intelligence that transforms clinical documentation into accurate, compliant medical codes across CDI, audit, and coding operations.

Clinical Documentation Improvement: Amy analyzes physician notes in real-time, identifying documentation gaps and suggesting clinical details needed for optimal coding. Amy flags incomplete diagnoses and missed documentations, enabling proactive CDI specialist engagement.

Audit Capabilities: Amy performs continuous compliance monitoring by cross-referencing coded claims against clinical evidence. Amy identifies coding discrepancies, highlights high-risk cases, and generates detailed audit trails, reducing compliance risks and claim denials.

Medical Coding Excellence: Amy automates complex coding workflows, handling 80%+ cases autonomously, interpreting clinical narratives and assigning accurate ICD-10, CPT, and HCPCS codes. Amy handles multi-specialty scenarios and HCC management while providing confidence scores for human review.

Customization & Integration: Amy's flexible architecture ingests hospital-specific coding grids, payer requirements, and institutional guidelines. The platform adapts to organizational workflows while maintaining established coding practices, ensuring AI recommendations align with each facility's unique standards.

Healthcare organizations experience improved coding accuracy, reduced administrative costs, enhanced compliance, and faster revenue realization with Amy, who continuously learns from coding patterns and delivers increasingly personalized solutions.

About CombineHealth AI:

CombineHealth AI tranforms Revenue Cycle Management with AI Solutions

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Product Capabilities

Amy is part of CombineHealth's suite of AI Workforce that collectively manage end to end RCM ecosystem for healthcare organisations, providing a unified platform for revenue cycle intelligence

Amy offers automated solution for routine tasks, ensuring outcomes with high accuracy. One of the key differentiators of Amy is explainability and human-in-the-loop approach, where each automation and decision taken by Amy is transparently communicated to the user

Amy, as part of CombineHealth's platform for end-to-end RCM transformation, collaborates with Lia, AI Medical Scribe solution to predict denials and recommend actions for prevention. These insights are segmented as per different facilities and doctors for nuanced understanding and conduct personalized training.

Amy is compliant with all leading regulations and has over 100+ security features to ensure adherence to various compliances, ensuring trust and security at every step

Amy, as part of CombineHealth's platform for end-to-end RCM transformation, collaborates with Marc and Adam, AI Denial Management and A/R Follow-up solutions to proactively follow-up and draft appeals.

Amy is built on CombineHealth's proprietary AI technology, trained over 1M+ medical charts and 100K+ payor policies establishing industry best benchmark for accuracy and reliability

Use Cases

Description:

• Correspondence Management

• Cash Management – payment posting & reconciliation

• Prior Authorization

• Denial Management

Pediatric use cases:

None provided

Users:

RCM for Hospitals, Physician Practices, Specialty Groups, or any other provider type

Description:

Amy's capabilities include

- Medical Coding

- Auditing

- CDI (Clinical Documentation Integrity)

Pediatric use cases:

None provided

Users:

Revenue cycle leaders and revenue cycle management teams

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Other, Allscripts/Eclipsys, Athenahealth, Azalea Health/Prognosis, CPSI, Evident, Healthland, MEDHOST, MedWorx, QuadraMed, Self-developed, Point Click Care

Hardware Compatibility:

None provided

Integrations:

Ambulatory EMR, Home health, Behavioral health, Access +/or revenue cycle, Credentialing, Website / public online sources

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

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

Hardware Compatibility:

Not applicable

Client Types

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

Intelligence vs Documentation

Amy: Actively analyzes and interprets clinical documentation with 99.2%+ coding accuracy using advanced AI algorithms

EHRs: Primarily store and organize patient data without intelligent code interpretation or suggestion capabilities

Automation vs Manual Processing

Amy: Fully automated medical coding that processes complex provider notes instantly without human intervention

EHRs: Require manual code entry by human coders, leading to potential errors and processing delays

Specialization vs General Purpose

Amy: Purpose-built AI medical coder specializing exclusively in ICD-10, CPT, and HCPCS coding across multiple medical specialties.

EHRs: General-purpose patient management systems with basic coding modules as secondary features.

Proactive vs Reactive Approach

Amy: Proactively identifies coding opportunities, documentation gaps, and compliance issues before claim submission.

EHRs: Reactively store coded information after human coders have already processed the documentation.

Revenue Optimization vs Record Keeping

Amy: Designed to maximize revenue capture through accurate coding, reducing claim denials and improving collections.

EHRs: Focus on clinical workflow and patient record management rather than revenue cycle optimization.

Continuous Learning vs Static Systems

Amy: Continuously updates with new coding guidelines, regulations, and medical procedures through AI learning

EHRs: Require manual updates and configuration changes for new coding requirements and regulations.

Differentiators vs Competitors:

Superior Accuracy Performance

Amy by CombineHealth stands out in the competitive landscape of AI medical coding solutions by delivering unparalleled accuracy and comprehensive automation capabilities. While other AI coding platforms in the market typically achieve accuracy rates between 85-95%, Amy consistently maintains an industry-leading 99.2%+ coding accuracy across all medical specialties. This superior performance translates directly into increased revenue capture for healthcare facilities across the United States, Canada, and other markets where accurate medical coding is critical for reimbursement. Unlike competing solutions that often require extensive human oversight and correction, Amy's advanced artificial intelligence algorithms minimize coding errors and reduce the need for manual intervention, making it the preferred choice for hospitals, clinics, and healthcare systems seeking optimal revenue cycle management.

Integrated Clinical Documentation Integrity (CDI) Capabilities

The integration of Clinical Documentation Integrity (CDI) capabilities within Amy's core platform represents a significant competitive advantage over other AI medical coding solutions. While most competing platforms treat CDI as a separate add-on service or require integration with third-party systems, Amy's built-in CDI functionality proactively identifies documentation gaps and ensures coding compliance from the outset. This integrated approach eliminates the need for healthcare organizations to invest in multiple separate solutions, reducing both implementation complexity and ongoing operational costs. Healthcare facilities in major metropolitan areas like New York, Los Angeles, Chicago, and Toronto benefit from Amy's streamlined approach, which addresses coding accuracy and documentation quality simultaneously without requiring additional software licenses or training programs.

Unified Revenue Cycle Integration

Amy's comprehensive AI solution approach distinguishes it from single-function coding solutions in the healthcare technology market. While other platforms focus exclusively on coding automation, Amy works in tandem with other CombineHealth's AI solution for billing, eligibility verification, charge entry, payment posting and appeals, to provide end-to-end revenue cycle management automation. This integrated solution eliminates the common problem of coding and billing disconnects that plague many healthcare organizations using disparate systems. Healthcare providers across diverse geographic markets, from rural hospitals to large urban medical centers, benefit from this seamless integration that ensures coded claims are processed efficiently through the entire billing cycle without manual handoffs or system compatibility issues.

Specialty-Specific Medical Expertise

Amy's specialty-specific expertise across multiple medical disciplines provides competitive differentiation in markets where other AI solutions offer one-size-fits-all approaches. The platform's deep knowledge of coding requirements for Anesthesiology, Emergency Medicine, Orthopedics, Pathology, and other specialties ensures accurate code assignment regardless of the complexity or specialty focus of the healthcare organization. This specialized intelligence is particularly valuable for multi-specialty practices, academic medical centers, and integrated healthcare systems that require consistent coding accuracy across diverse medical services. Healthcare organizations choosing Amy benefit from a solution that understands the nuances of specialty-specific coding guidelines and grids, resulting in higher reimbursement rates and reduced claim denials compared to generic AI coding platforms in the competitive marketplace.

Keywords

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