Lamics provides a purpose-built voice AI platform designed to automate patient call handling and clinical documentation for healthcare providers. This technology processes natural speech to convert conversations into actionable insights and structured records. The platform aims to reduce administrative burden, allowing clinical staff to dedicate more time to direct patient care.
Funding
Funding not disclosed
Founders
Product
Problem
Medical billing errors in the U.S. lead to approximately $100 billion in annual losses due to claim denials and rework. Incomplete or incorrect patient documentation contributes significantly to these errors, with a large percentage of healthcare bills containing inaccuracies. Appealing denied claims is a time-consuming process, often taking between 60 to 120 days.
Solution
Lamics offers a real-time charting co-pilot that leverages machine learning to predict coding and audit documentation, ensuring insurance compliance for clinicians. The platform analyzes chart documentation to identify incomplete information or discrepancies, providing data-driven suggestions to fix errors at the source. By proactively addressing these issues, Lamics aims to prevent claim denials and improve chart accuracy before the bill is even submitted. The system uses NCCI/CMS and insurance-specific guidelines to automate code prediction and ensure compliance.
Target Audience
The primary target audience includes clinicians and healthcare providers seeking to reduce medical billing errors, prevent claim denials, and improve the accuracy of their patient documentation.
Features
- Automated code prediction using NCCI/CMS and insurance-specific guidelines.
- Real-time chart auditing to analyze text and identify incomplete documentation or discrepancies.
- Insurance-compliant chart suggestions to easily fix errors using data-driven insights.
- Fast and secure platform with built-in reports generated using AI.