(Sam) Yin-Siang Hao
Intern
Decimal Code
Decimal Code provides patented AI solutions for automated perioperative medical coding, focusing on CPT mismatch detection and missed procedure identification. The platform reads medical text to extract necessary information, streamlining the revenue cycle management process for healthcare providers. This technology significantly reduces coding costs and time while improving revenue capture through accurate claim submission.
Updated 5 months ago
Funding
Funding not disclosed
Funding rounds are not available yet.
Founders
Devang Chaudhary
Intern
Product
Problem
Healthcare providers face significant administrative burdens and revenue cycle inefficiencies due to the manual and error-prone nature of medical coding. This often leads to claim denials, increased operational costs, and delayed reimbursement for services rendered.
Solution
Decimal Code offers an AI-powered medical coding platform designed to automate the translation of clinical documentation into accurate billing codes. Leveraging patented natural language processing and machine learning models, the system extracts relevant information from clinical notes to ensure precise CPT code assignment. This automation streamlines the revenue cycle, reduces coding-related denials, and lowers administrative overhead. The platform also provides confidence scores for its predictions, enabling clinicians to review and validate coding decisions with greater clarity.
Target Audience
The primary target audience includes healthcare providers, medical billing departments, and revenue cycle management teams seeking to optimize their coding processes and financial performance.
Features
- Patented AI engine for automated medical coding from clinical notes.
- Natural Language Processing (NLP) for extracting key clinical information.
- Machine learning models trained for high accuracy in CPT code classification, particularly in perioperative care.
- Real-time detection of CPT code mismatches between authorization requests and claims.
- Confidence scores and transparency signals for AI-generated coding predictions.
- Workflow integration to guide staff in aligning codes for accurate billing.
- Potential for EHR integration for seamless data flow.