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Elevating Radiology Coding with Conrad AI

Conrad AI expedites the collection and transformation of imaging data into structured CPT and ICD-10 outputs, resulting in more accurate and compliant radiology medical coding.

Conrad AI

Conrad AI is a smart, innovative platform for radiology coding automation designed to audit, automate and optimize coding for diagnostic imaging, interventional procedures and workflow based on modality. It supports radiology CPT coding, ICD-10 radiology coding guidelines, and payer-specific compliance through machine learning and deep clinical context analysis.

Conrad AI reduces dependency on manual labor and unstructured reports, empowering billing terms and radiology certified coders. From ultrasound CPT codes to interventional radiology coding, it ensures accuracy, compliance, and quicker reimbursement cycles by automating decisions and validating against radiology coding guidelines.

Conrad AI for radiology coding sets a new standard in radiology coding automation and audit-readiness, making it perfect for hospitals, radiology groups, and AI medical coding companies looking to scale operations with fewer errors.

Conrad AI

Rediology coding

Conrad AI revolutionizes radiology medical coding with smart radiology coding automation, enabling radiology coders and certified coders to streamline radiology billing and coding using advanced radiology coding software and AI-driven compliance.

Ultrasound CPT codes

Key Features of Conrad AI in Radiology Medical Coding Automation

AI radiology coding

AI-powered radiology coding

Extracts finding, procedure and impression details from radiology reports to generate exact radiology CPT coding with minimal human assistance.

CPT Code Matching

Imaging-Specific CPT Code Matching

Allows diagnostic radiology coding and crosswalks diagnostic imaging CPT codes across X-ray, CT, MRI, and ultrasound modalities.

Radiology coding guidelines

Interventional radiology coding automation

Maps and validates interventional radiology coding, including multi-step and component-based processes, using rule-based and AI-driven logic.

ICD-10 Radiology Coding Guidelines

Built-In ICD-10 Radiology Coding Guidelines

Uses structured ICD-10 radiology coding guidelines to ensure compliance, medical necessity, and accurate diagnosis linking.

Radiology Coding Software Integration

Optimized Anesthesia Medical Coding

As full-stack radiology coding software solution, it easily integrates with billing systems, PACS (Picture Archiving and Communication System), and RIS (Radiology Information System).

How Conrad AI Functions in Radiology Medical Coding Automation

Automate CPT assignment, apply payer edits, and validate documentation in real time to improve radiology billing and coding performance. By addressing radiology coding issues, streamlining modality-based workflows, and adjusting to changing payer regulations in radiology medical coding solutions, Conrad AI improves productivity.

The following are functions of Conrad AI: Smart Radiology Coding Software;

Radiology AI Coding Engine

Interventional Radiology Coding compounds

Utilizes natural language processing (NLP) to accurately support radiology coding by decoding clinical terms, anatomy references, and imaging descriptors.

Distinguishes between billable and bundled components in complicated interventional radiology coding processes.

Code Validation Based on Guidelines

Rule-Based Modifier Assignment

Guarantees adherence to CMS and ACR references as well as CPT radiology coding guidelines.

Minimizes claim rework by automatically applying professional (26) and technical (TC) modifiers.

Processing Ultrasound CPT Codes

Structured Output for billing platform

Automatically chooses and applies suitable ultrasound CPT codes according to indications, laterality, and body region.

Generates HL7, JSON, and X12 files for plug-and-play integration with billing software and claim platform.

Mapping Diagnostic Imaging CPT Codes

Production of Audit Trails

Matches legitimate diagnostic imaging CPT codes for nuclear, CT, and MRI scans with the procedure’s modality and intent.

To assist with coder accountability and regulatory audits, it records the coding reasoning and decision points for each report.

Auto ICD-10 Mapping for Radiology

Payer-Specific Flexibility

Employs AI-backed radiology coding guidelines to connect radiological findings with the proper diagnosis.

Updates coding output as per payer-specific radiology coding automation rules, documentation standards, and local coverage decisions.

Overcoming Real-World Challenges in Radiology Medical Coding Automation

Reports on Unstructured Image

Radiology impression and findings vary widely, making coding radiology vulnerable to interpretation errors without AI-assisted parsing.

Complex Interventional Radiology Coding 

In order to provide clean radiology medical coding Services , multi-step interventional radiology coding requires exact CPT mapping, component identification, and modifier use.

ICD-10 Radiology Coding Issues

Inaccurate ICD-10 radiology coding guidelines result in denials, which slow down radiology billing and coding processes and less revenue.

Diagnostic Imaging CPT Ambiguity

MRI and CPT studies often lack of clarity on contrast usage, which leads to diagnostic imaging CPT codes and delayed radiology CPT coding errors.

Manual Errors in Ultrasound CPT Codes

Radiology coding automation and claim accuracy are impacted when ultrasound CPT codes are incorrectly chosen by body part or laterality.

Outdated Payer Rule Application

Static processes impact medical coding for radiology by not keeping up with payer-specific edits and radiology coding guidelines.

Gaps in Radiology Coding Software

The effectiveness of radiology coding software and radiology medical coding solutions is reduced by limited integration with PACS or EHR.

Control of Modifiers in Radiology CPT Coding

Missed TC/26 modifiers in diagnostic radiology coding result in compliance audits and reduce reimbursements.

High-Volume Documentation Issues

Incomplete research causes errors in medical coding radiology workflows and slows down radiology billing and coding.

Coder Fatigue in Manual Radiology Coding

Repetitive radiology CPT coding in high volume causes errors and burnout hence, Conrad AI provides perfect radiology coding automation.

To know Why Choose Conrad AI at ArtigenTech, Here is our real time result

Results 

How Conrad AI delivered 

94% Coding AccuracyAutomatically creates radiology CPT codes with built-in guideline checks.
60% Faster TurnaroundSimplifies radiology coding and billing for all modalities.
70% Fewer DenialsTo avoid mistakes, ICD-10 radiology coding standards are enforced in real time.
100% Modality CoverageHelps X-ray, CT, MRI, ultrasound, and interventional radiology coding.
200+ Imaging CPTs CrosswalkedMatches diagnostic radiology coding accurately using AI-based crosswalking.
300+ Hours Saved MonthlyMinimize manual tasks for radiology certified coders and admin teams.
Full Modifier ComplianceApplies 26/TC modifiers correctly based on report metadata.
Seamless PACS IntegrationFunctions as enterprise-ready radiology coding software for imaging centers and hospitals.
Payer-Specific LogicAdapts radiology coding automation to match insurance coding needs.
28% Revenue GrowthOptimized medical coding for radiology for faster, cleaner reimbursements.

 

Watch How medical coding automation in Conrad AI Simplifies Radiology Coding

Learn how Conrad AI applies modifiers, maps CPTs, automates radiology medical coding, and fixes coding errors for all imaging types with real-time accuracy and compliance.

Request free demo today and see how AI can revolutionize your radiology coding workflow.

Get started with Conrad AI today and experience the benefits of advanced medical coding automation in your Radiology practice today.

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Contact us

USA Address

614 N. Dupont HWY, STE 210 Dover, DE – 19901

Indian Address

No 110, Uthamar Gandhi Rd, Subba Road Avenue,  Nungambakkam

Call or Text 

+1 213-291-7810

Email Us Today 

contactus@artigentech.com