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.

CombineHealth AI tranforms Revenue Cycle Management with AI Solutions

Healthcare organizations experience mid-cycle revenue leakage for a variety of reasons — from lack of CDI resources to inefficient query processes and beyond. AwareCDI is the only solution on the market that addresses the problem every step of the way, from admission through post-billing review.

It’s all made possible by CognitiveML, the industry’s most advanced and versatile AI engine. With the AwareCDI platform, healthcare organizations can:

• Maximize CDIS efficiency
• Capture more revenue
• Optimize allocation of resources
• Increase query creation & response rates
• Minimize denials & DNFB

Iodine Software is a healthcare AI company that has pioneered a new machine learning approach — Cognitive Emulation™ — to help healthcare finance leaders build resilient organizations. Founded in 2010, Iodine’s technology unifies clinical concepts, evidence-based medicine, and deep machine learning to power revenue cycle solutions that maximize capture and data accuracy. To date, the Iodine AwareCDI™ Suite has helped nearly 500 hospitals recognize $1.5 billion in additional appropriate reimbursement annually. To learn more, visit iodinesoftware.com.

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.

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.