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AbelMed — AI-Powered Medical Coding Assistant

Client

Abelson Taylor

Industry

Healthcare, Medical Billing

Duration

4 months

Delivered by

DEDEVS
AbelMed — AI-Powered Medical Coding Assistant
Overview

The Project

The client, a US healthcare provider processing over 50,000 patient records monthly, struggled with time-consuming manual medical coding processes that led to billing delays.

Results
  • The client achieved unprecedented improvements in coding accuracy, processing speed, and compliance standards, revolutionizing their medical billing operations and setting new industry benchmarks.
  • 92% coding accuracy achieved consistently
  • 60% reduction in processing time
  • Eliminated 6-week coding backlog
  • 100% HIPAA compliance maintained
The Challenge

What We Solved

The client, a US healthcare provider processing over 50,000 patient records monthly, struggled with time-consuming manual medical coding processes that led to billing delays, coding errors, and compliance risks. Their coding team was overwhelmed with the volume of records, resulting in a 6-week backlog and 15% error rate. They needed an intelligent solution to automate medical coding while maintaining HIPAA compliance and improving accuracy.

We developed an AI-powered medical coding assistant that uses advanced natural language processing and machine learning to automatically analyze medical records and suggest appropriate ICD-10 and CPT codes with exceptional accuracy. Advanced NLP for medical text analysis Automated ICD-10 and CPT code suggestions HIPAA-compliant data processing Real-time coding validation system Audit trail and compliance reporting Integration with existing EMR systems Continuous learning and improvement

Our Approach

How We Built It

Technologies

Tech Stack Used

Python
TensorFlow
React
PostgreSQL
AWS
AbelMed — AI-Powered Medical Coding Assistant screenshot 1
AbelMed — AI-Powered Medical Coding Assistant screenshot 2
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