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Neural Wave

Neural Wave is a clinical intelligence layer for value-based care, enhancing patient outcomes and practice efficiency. It automates inbox handling, captures care management episodes, and flags at-risk patients, freeing up provider time and improving financial performance. The platform learns practice methodology for high personalization and accuracy.

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Neural Wave screenshot
Neural Wave screenshot

Neural Wave serves as the clinical intelligence layer designed specifically for value-based care, aiming to improve outcomes for patients, providers, and practices simultaneously. In value-based care models, every missed clinical signal carries a direct financial consequence, impacting shared savings. NeuralWave addresses this by ensuring that no discharge summary, rising-risk patient, or care management gap goes unnoticed or unaddressed.

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The platform tackles the challenge of physicians manually processing vast amounts of patient data, which is mathematically unfeasible at human speed. It automates the handling of clinical inboxes, with 80% of tasks being auto-handled, saving providers over 30 hours per month. This efficiency translates to better margins by ensuring every billable moment is captured and every diagnosis is accurately documented.

NeuralWave's core functionality extends across the entire patient journey: before, during, and after visits. Before a visit, it assists with rooming and structured intake. During the visit, it offers AI Scribe capabilities to finish notes in the physician's voice before they leave the room and provides Evidence Search for real-time clinical references from top journals. After the visit, it manages the clinical inbox, captures care management episodes (TCM, CCM, PCM, RPM), and flags preventable admissions.

A key differentiator is NeuralWave's adaptive learning capability. The system learns from physician interactions, adapting to their specific clinical methodology, documentation style, coding preferences, and risk tolerance. This personalization, achieving 90% personalization within 30 days, ensures the AI outputs improve over time, leading to increased physician trust and a powerful feedback loop. The platform boasts 99.99% output accuracy on over 15,000 clinical documents monthly, minimizing hallucinations and ensuring reliable insights.

The value proposition is clear: improved clinical quality and financial performance are intertwined. NeuralWave helps practices achieve this by identifying rising-risk patients before they decompensate, ensuring all clinical documentation is absorbed and utilized, and optimizing revenue capture through comprehensive care management episode documentation. The ROI is substantial, with a typical return of 75:1 or greater, and payback often achieved within the first quarter.

  • CategoryMedical & Clinical AI
  • Pricing ModelContact sales
  • DeploymentCloud
  • PlatformsWeb

  • Automates clinical inbox handling, with 80% of tasks auto-handled.

  • Saves providers over 30 hours per month by reducing charting and inbox work.

  • Captures all care management episodes (TCM, CCM, PCM, RPM).

  • Flags preventable admissions before they occur.

  • Provides AI Scribe functionality for faster note completion during visits.

  • Offers real-time Evidence Search with access to top peer-reviewed journals.

  • Learns and adapts to individual clinic practice methodologies for high personalization.

  • Achieves 90% personalization within 30 days of use.

  • Maintains 99.99% output accuracy on clinical documents.

  • Handles pre-visit intake and rooming assistance.

  • Integrates clinical quality and financial performance tracking.

  • Supports home health recertification and Rx renewal.

  • Provides structured intake before physician entry.

  1. Configure: Set up the platform to integrate with existing workflows.

  2. Utilize AI Scribe: Use during patient visits for real-time note generation.

  3. Manage Inbox: Leverage automated handling for clinical communications.

  4. Capture Data: Ensure all care management episodes are documented.

  5. Review Insights: Utilize flagged admissions and at-risk patient alerts.

  6. Adapt System: Allow the AI to learn from physician feedback and edits.

  7. Optimize Workflow: Continuously refine processes based on system improvements.

  • Inbox Automation
  • Care Management
  • Risk Stratification
  • Clinical Documentation
  • Preventive Care
  • Provider Efficiency
  • Value-Based Care
  • Clinical Decision Support

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