AI Agent

Medical Coding AI Agent

Code charts in seconds with 99% accuracy

Manual medical coding takes 15 minutes per chart with 85% accuracy. AI codes in seconds with 99% accuracy for maximum reimbursement.

Benefits

Code More Charts Without Adding Coders

Manual medical coding creates claim submission delays costing practices days of cash flow. Coding errors cause claim denials and revenue leakage. Coder shortages limit growth. This agent codes charts in seconds with 99% accuracy for maximum reimbursement.

85%

Productivity gain

99%

Coding accuracy

Same-day

Claim submission

Agentic Flows

Complete Medical Coding Automation

Automated workflow: clinical documentation analysis with medical NLP, diagnosis and procedure code assignment, modifier application and sequencing, CMS edit validation and correction, DRG calculation for inpatient, charge capture and claim generation.

How it works

AI-Powered Clinical Documentation Analysis

The agent analyzes clinical notes, diagnoses, and procedures using medical NLP automatically, assigns ICD-10, CPT, and HCPCS codes with proper modifiers and sequencing, validates code combinations against CMS edits and payer rules, ensures maximum reimbursement with compliant coding.

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

Integrations

Works with Healthcare IT Systems

Direct integration with Epic, Cerner, Allscripts, athenahealth, and eClinicalWorks EHRs. Connects to 3M, Optum, and Nuance CAC systems. Exports coded data to billing systems and clearinghouses for claim submission.

Implementation

Coding Charts in 2 Weeks

Integrate with your EHR and billing systems. Train on your specialty and documentation style. Most practices achieve 99% coding accuracy within 2 weeks of deployment.

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

Medical Coding Features

Medical NLP

Understands clinical terminology and context. Extracts diagnoses and procedures from unstructured notes.

Compliant Coding

Applies ICD-10, CPT guidelines correctly. Validates against CMS edits and payer policies automatically.

Reimbursement Optimization

Assigns codes for maximum appropriate reimbursement. Captures all billable services without upcoding.

Demo

See Medical Coding in Action

Watch the agent code 500 charts: analyze clinical notes, assign ICD-10 and CPT codes, validate against CMS edits, generate claims—all in 1 hour with 99% accuracy.