Red Sky Health provides an end-to-end platform that uses AI to automatically identify, correct, and resubmit insurance claims denials for healthcare providers. The system analyzes claim context, including coverage validity and authorization requirements, to streamline remediation workflows. This intelligent automation accelerates revenue recovery by improving denial resubmission success rates.
Funding
$7.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Healthcare providers face challenges in managing health insurance claim denials, which can lead to revenue loss and administrative burden. Manual review processes are time-consuming and prone to errors, hindering efficient claims processing and impacting revenue cycle management.
Solution
Daniel is an AI-powered platform designed to automate the analysis and remediation of health insurance claim denials. By leveraging machine learning algorithms, Daniel identifies errors in denied claims and recommends specific corrective actions for resubmission. This automated process enhances claims accuracy, reduces manual effort, and improves revenue recovery for healthcare providers. The platform analyzes both claim submissions and insurance remittances to generate actionable insights.
Target Audience
The primary target audience includes healthcare providers, chronic care management facilities, and medical billing companies seeking to improve their claims processing efficiency and reduce revenue loss due to claim denials.
Features
- AI-driven analysis of denied claims using machine learning algorithms.
- Identification of errors and root causes of claim denials.
- Automated generation of recommended corrective actions for resubmission.
- Analysis of claim submissions and insurance remittances data.
- Continuous training of ML algorithms using a large dataset of paid and denied claims.