Wave

AI-powered Diagnosis & Healthcare Analytics

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This solution offers extensive data intelligence, compliance, and optimization to improve risk adjustment processes for healthcare organizations by accurately capturing patient conditions, coding, and clinical insights. Its main features include natural language processing for chart mining, retrospective and prospective coding, real-time compliance monitoring, advanced analytics for RAF score improvement, and workflows that automate care gap closure and revenue growth, making it ideal for health plans and hospital systems seeking to improve coding accuracy, streamline operations, and ensure audit readiness.

Wave can be found in AI-powered Diagnosis & Healthcare Analytics categories.

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Cascade Verified profile Promoted → iQuartic → Precise Health → Wave Health Technologies → IMO Health →

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Wave Main Features

• Workflow Automation
  The system automatically handles many tasks to save time and improve accuracy.
• RAF Score Optimization
  It uses advanced models to improve patient risk scores for better revenue and care.
• NLP-Driven Chart Mining
  It uses smart language technology to find important health information in patient records.
• HIPAA-Compliant Workflows
  All data handling is done securely and according to privacy laws.
• Capture Comprehensive Data
  The system finds and records all patient conditions, important codes, and hidden clinical details.
• Data Ingestion and Parsing
  The SaaS can take in and analyze patient charts automatically using advanced technology.
• Risk Adjustment Intelligence
  It provides tools that help track and improve patient risk scores for better healthcare planning.
• Coder Productivity Dashboards
  Tools that help coders work more efficiently and track their progress.
• Revenue Opportunity Analytics
  It analyzes ways to increase revenue through better coding and care strategies.
• Built-in Compliance Frameworks
  The system ensures that all coding follows government rules and is ready for audits.
• CMS Risk Adjustment Validation
  The SaaS helps verify that risk scores meet Centers for Medicare & Medicaid Services (CMS) rules.
• Computer-Assisted Coding (CAC)
  Automation helps coders work faster by suggesting and checking codes.
• Real-Time Compliance Monitoring
  It constantly checks that data and coding meet required standards as it happens.
• Care Gap Identification and Closure
  The SaaS finds missing patient care areas and suggests ways to fix them.
• End-to-End Risk Adjustment Solution
  The SaaS manages all steps from data collection to preparing reports for government submissions.
• Retrospective and Prospective Coding
  It can look back at past records or prepare new codes for future care.
• HCC Code Identification and Validation
  The SaaS accurately finds and confirms health condition codes needed for billing and compliance.

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