J'S AI Platform

Computer-Assisted Professional Coding Services

Rapid AI Suggestions, Rigorous Human Validation

Average ROI
0 %+
Reimbursement Accuracy
+ 0 %
Years of AI & Medical Experience
0 +
Average ROI
0 %+
Coding Accuracy
0 %
Years of AI & Medical Experience
0 +

Trusted by 1000+ Companies

Image 1 Image 2 Image 3 Image 4 Image 5 Image 6 Image 7 Image 8 Image 9 Image 1 Image 2 Image 3 Image 4 Image 5 Image 6 Image 7 Image 8 Image 9
Computer-Assisted Professional Coding Services

We Simplify Your Practice’s Medical Coding with AI’s speed and Human validation.

At J’S Vision, we bring together advanced AI coding tools and the expertise of certified medical coders to make claim submissions faster and more accurate. Our Computer-Assisted Professional Coding service reviews clinical documentation in real time, suggests ICD-10, CPT, and HCPCS codes, and then has our specialists confirm each code so it truly reflects the patient’s story. This approach cuts down denials, strengthens compliance, and creates a smoother workflow that lets your team focus on what matters most delivering excellent patient care.

Our Computer-Assisted Coding Services

Multi-Format Data Ingestion & Prep

Ingest HL7 v2/v3, FHIR R4, free-text notes and OCR scans. Normalize layouts, de-identify PHI and segment sections for processing.

Clinical NLP & Entity Extraction

Apply NLP for tokenization, named-entity recognition, negation/speculation detection and context. Map entities to SNOMED CT and UMLS.

Knowledge Graph & Ontology Mapping

Build a graph linking entities by laterality, temporality and severity. Apply ICD-10 hierarchies (Excludes1/2, MCC) to resolve parent-child codes.

Deep Learning Code Prediction

Use transformer and attention models trained on millions of charts to predict ICD-10-CM, ICD-10-PCS, CPT® and HCPCS® codes, capturing inter-code dependencies.

Rule-Engine Edits & Validation

Enforce NCCI/CCI edits, DRG logic, bundling checks and payer-specific rules in real time to flag conflicts before coder review.

Confidence Scoring & Autonomous Coding

Assign confidence scores to each suggestion. High-confidence charts are auto-billed; others route to coders for manual adjudication.

Integrated Coder Workflow

Side-by-side document and code panels with one-click accept/reject. Built-in query generation prompts clinicians for missing details.

EHR & API Connectivity

Native HL7, FHIR and SMART on FHIR connectors for Epic, Cerner, Meditech, etc., pushing approved codes back into your RCM system.

Analytics & Continuous Learning

Dashboards track accuracy, productivity, denial rates and audit exceptions. Coder edits feed back into monthly model retraining.

Compliance & Security

Full audit trail of AI suggestions and coder actions. HIPAA-compliant with role-based access, two-factor authentication and end-to-end encryption.

Our Signature Process

An AI-First Approch

Multi-Format Data Ingestion and Pre-Processing

We pull structured HL7 v2/v3 feeds, FHIR R4 resources, free-text notes and OCR’d scans into our platform. Layout normalization, de-duplication and PHI-stripping modules then segment clinical sections (HPI, ROS, Assessment/Plan) to ensure clean input for our coding engines.

AI-Driven Code Suggestion

Our NLP pipeline tokenizes text, detects negation and extracts clinical entities. Transformer-based models predict ICD-10-CM, ICD-10-PCS, CPT and HCPCS codes while a rules engine applies NCCI/CCI edits, Excludes1/2 checks and bundling logic to flag conflicts before human review.

Professional Coder Review and Validation

Certified coders work in an integrated UI where each AI-suggested code carries a confidence score. Coders accept, modify or reject suggestions with one click. Built-in query tools generate clinician queries when documentation gaps arise, ensuring every code matches true clinical intent.

AI Driven Coding

Native HL7, FHIR and SMART on FHIR connectors sync with Epic, Cerner, Meditech and other systems. Approved codes flow automatically into your RCM and billing modules, eliminating manual entry, accelerating charge capture and reducing downstream denials.

Continuous Monitoring and Reporting

Real-time dashboards track suggestion accuracy, charts per hour, denial rates and audit exceptions. Coder edits and audit feedback feed into regular ML retraining and rule-set updates, driving ongoing gains in precision and productivity.

Why Choose J’S Vision for Computer-Assisted Coding?

Here’s why healthcare providers and health plans trust J’S Vision Code to improve their medical coding with advanced computer-assisted coding technology: 

Edit Content
We lighten the coder’s workload

We lighten the coder’s workload

Our AI-driven NLP and machine-learning tools pre-process clinical notes, identify key diagnoses and procedures, and suggest accurate ICD-10, CPT and HCPCS codes so your team can work faster.

Edit Content
Expert review for every code

Expert review for every code

Every AI-generated suggestion is validated by AAPC- or AHIMA-certified coders who follow the latest CMS, AMA and payer-specific guidelines to ensure total compliance.

Edit Content
Three layers of quality control

Three layers of quality control

Codes with high confidence scores are auto-approved, mid-level scores go through peer review and low-level scores receive manager validation to catch every potential error.

Edit Content
Flexible to match your workflow

Flexible to match your workflow

Whether you need real-time, point-of-care support or retrospective batch audits, our platform adapts to your process and uncovers missed coding opportunities.

Edit Content
Real-time analytics and insights

Real-time analytics and insights

Interactive dashboards display code suggestion accuracy, coder productivity, denial drivers and rule-exception trends so you can optimize performance instantly. 

Edit Content
Seamless, secure integration

Seamless, secure integration

Native HL7, FHIR and SMART on FHIR connectors integrate with Epic, Cerner, Meditech and more while enforcing HIPAA-grade security and role-based access controls. 

Edit Content
A true partnership approach

A true partnership approach

From initial setup and coder training to ongoing model retraining and rule-set updates, your dedicated account lead collaborates with you to drive continual improvement. 

Trusted Partners

Relate is a better way to do sales and customer success for B2B SaaS startups

“J’S Vision’s accurate coding cut our claim denials by half, and it freed our billing team to spend more time on patient care. Their clear reports show exactly where to fix issues. We receive payment faster with fewer questions.”

Emily Tran Director of Revenue Cycle Management

“The team at J’S Vision delivers our coding files on schedule with very few errors. We trust them for both outpatient and inpatient work so we do not have to double check. That saves us hours each week.”

Dr. Raj Malhotra Chief Medical Officer

“Working with J’S Vision feels like having our own coding department on call. They answer questions right away and update any files that need fixes. Their reliable service keeps our billing on track and makes audits smoother.”

Kara Simmons Practice Administrator

“J’S Vision handles our toughest cases such as emergency visits and long term care with skill and care. Their notes are always clear so we rarely have to ask for more detail. Our staff now spends less time on paperwork and more time with patients.”

Thomas Griggs Operations Manager

 “With J’S Vision, audit flags are a thing of the past. Their coding is correct the first time and they turn around any revisions within a day. Our audit scores have gone up and we have real peace of mind.”

Lisa DuPont Compliance & Quality Officer

 “The team at J’S Vision cleared our coding backlog and cut our billing cycle by two days. We have seen a steady rise in processed claims and a drop in manual rework. Our finance team loves their simple easy to read reports.”

Jordan Lee Billing and Claims Lead
new white logo

Request a Free 30-Minute Consultation With Our Computer-Assisted Professional Coding Specialists Today!

Some issues we can discuss are:

Your existing CAPC workflows and system architecture

Common coding and billing errors and how AI flags them

Strategies to boost accuracy and throughput with NLP/ML automation

Best practices for seamless EHR/API integration and real-time code delivery

Continuous-learning frameworks, analytics dashboards, and audit readiness

Food for your Thoughts

Debunking 10 Myths About Offshoring Your Healthcare Revenue Cycle Management
Group 1171275765
What Is Medical Coding?