Daniel

Daniel is an AI-powered platform developed by Red Sky Health designed to automate and optimize the health insurance claims denial management process for healthcare providers. It leverages advanced artificial intelligence, including machine learning (ML) and large language models (LLMs), to address the significant challenges associated with denied claims, which often lead to substantial revenue loss for medical practices.

The platform works by analyzing denied claims with comprehensive context, including coverage validity, benefit plan details, and authorization requirements. It identifies critical information such as ICD-10 codes, procedure codes, and payer-specific coverage limitations. Daniel then recommends corrections and automates the resubmission of these claims at scale, significantly improving the chances of recovery and reducing the administrative burden on staff.

Key functionalities include real-time KPIs, metrics, and insights through a comprehensive dashboard that tracks denial charges, counts, and remitted amounts across all payers. It also offers centralized denial state management and workflow organization, allowing practices to track each denial through various stages and assign tasks to team members. By streamlining the entire denial remediation process, Daniel aims to help healthcare providers recover more revenue, reduce operational costs, and improve overall financial performance.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist