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Crosby Health is an AI-powered platform designed to automate the clinical appeals process for healthcare providers. Built by a team with deep expertise in revenue cycle management (RCM) and artificial intelligence, it addresses the critical problem of denied insurance claims. The core capability of Crosby Health is generating, submitting, and tracking appeal letters using a specialized clinical LLM called Apollo. Apollo has been trained on medical and billing knowledge, enabling it to identify medical necessity within clinical documentation and craft persuasive arguments for maximum recovery. The platform integrates legal and clinical guidelines to ensure compliance and effectiveness. It supports unified submission to every payor, eliminating the need for multiple portals and fax machines. Crosby Health is ideal for healthcare providers, hospitals, and medical billing companies looking to reduce the administrative burden of denials and improve revenue recovery. Its workflow fits seamlessly into existing RCM processes, offering one-click submission and automated tracking of payor decisions.
4.5/5
High, consistent, and clinically accurate
Clean and intuitive
Automate clinical appeals to reduce provider burden and maximize revenue recovery from denied claims.
Web-based platform with unified submission to all major payors; integrates with existing RCM workflows.
Custom pricing based on provider volume; demo available
Features with the highest value for users are highlighted here.
Automated appeal generation
Apollo clinical LLM for RCM
Medical necessity identification
Integrated legal and clinical guidelines
Unified submission to all payers
One-click submission and tracking
Immediate payer decision notifications
High-speed output (60 words/sec)
Hospital Revenue Cycle Teams
Medical Billing Companies
Physician Practices
Health Systems
Denial Management Specialists
Clinical Documentation Improvement Teams
Revenue Cycle Directors
Compliance Officers
Small to Mid-Size Practices
Large Academic Medical Centers
Starter
Professional
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