AI-Driven Medical Coding

📌 Automated, Accurate, and Efficient
📌Reduce errors, streamline claims
📌Accelerate reimbursements with AI-powered coding.

 

Nexpert’s AI-powered coding assistant simplifies medical coding, ensuring compliance with regulatory standards:

  • ICD-10

  • CPT

  • CCAM

  • Riziv/INAMI

Medical Billing

Faster Medical Billing – Cut manual work by 40%

Compliance

Higher compliance – Align with global and regional coding standards.

Coding Validation

Real-Time Coding Validation – Reduce financial losses from incorrect submissions.

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Advanced Prompt Engineering

Advanced Prompt Engineering

Medical Coding

Nexpert leverages AI-driven prompt engineering to enhance accuracy in medical coding.

Example: A doctor enters patient symptoms → AI generates suggested ICD-10, CPT, CCAM, or Riziv/INAMI codes automatically.

Nexpert’s engineered prompts structure the AI request, ensuring more precise and relevant coding recommendations.

Advanced Prompt Engineering
 GDPR-Compliant Data Processing with AI

GDPR-Compliant Data Processing with AI

Compliance

AI anonymizes patient-sensitive information before processing coding requests.

Only essential clinical details are sent to AI for analysis.

Ensures full compliance with GDPR, HIPAA, and local healthcare regulations.

 GDPR-Compliant Data Processing with AI
Automated Code Validation & Compliance Checks

Automated Code Validation & Compliance Checks

Validation and Claims

AI cross-references coding suggestions with regulatory databases.

Prevents coding errors that lead to insurance rejections or claim denials.

Ensures regional compliance for coding frameworks across Europe, the U.S., and global markets.

Automated Code Validation & Compliance Checks
Integrated AI Learning from Previous Coding Patterns

Integrated AI Learning from Previous Coding Patterns

Accuracy

AI learns from past user selections and corrections, continuously improving coding accuracy.

The system adapts to individual clinician preferences, making suggestions more personalized over time.

Integrated AI Learning from Previous Coding Patterns
(Future expansion)

(Future expansion)

Speech-to-Code Automation

Direct integration with speech-to-text tools.

Clinicians can dictate patient encounters, and AI automatically generates medical codes based on voice input..

Reduces documentation burden and accelerates medical billing workflows.

(Future expansion)
Multi-Specialty Adaptation for Different Medical Fields

Multi-Specialty Adaptation for Different Medical Fields

Code adjustment

AI dynamically adjusts coding for various specialties, including:

✔ Primary Care – Chronic disease management, routine check-ups
✔ Surgery – Procedure-based coding for CPT/ICD-10
✔ Mental Health – Behavioral health-specific billing codes
✔ Radiology & Imaging – AI-assisted interpretation of scans
✔ Emergency Medicine – Automated triage-based coding

Multi-Specialty Adaptation for Different Medical Fields
FHIR-Based Integration for Seamless Medical Billing

FHIR-Based Integration for Seamless Medical Billing

Billing

Syncs AI-generated medical codes directly with EHR and billing systems via FHIR API.

Eliminates the need for manual code entry.

Ensures real-time billing validation before claim submission.

FHIR-Based Integration for Seamless Medical Billing

How it works:

  • The system analyzes consultation notes
  • AI suggests appropriate medical codes.
  • The user validates or adjusts the code before submission.
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