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Automating Healthcare Revenue Cycle Management with AI Workforce
Preventing revenue leakage in health systems using AI
CombineHealth offers an AI-powered revenue cycle management (RCM) platform for healthcare, focusing on end-to-end medical coding and billing to reduce denials and improve collections. The system uses AI agents to automate coding, billing, denial management, and analytics across the RCM process.
An end-to-end AI RCM platform that unifies eligibility verification through collections. It provides AI agents for specific roles (AI Coder, AI Biller, AI Denial Manager, AI Revenue Cycle Analyst, AI Policy Reviewer, AI Appeals Manager, AI Medical Scribe) that automate coding, claim generation, submission, denial handling, analytics, and policy guidance. The platform adapts to specialty guidelines and payer policies, generates audit-ready reports, and offers real-time dashboards and customizable KPIs. It claims to reduce A/R days, denials, and costs while increasing collections, with scalable AI workforce to match demand. It also includes payer policy lookups, undercoding detection, and automated appeal drafting with payer-specific language.
Who it’s for: Healthcare providers and healthcare organizations (hospitals, anesthesia groups, multi-site clinics) requiring AI-driven RCM, coding, and billing automation.
Company highlights 40+ years of combined experience, multiple named AI roles and a public pricing page; mentions customer success stories and 9% higher collections, 40% reduction in A/R days, 35% lower cost, 12% reduction in claim denials; ongoing marketing and demo requests indicate traction
Sourabh has been building and deploying machine-learning models for the last 8 years. Previously he co-founded Insane.ai (an AI-powered fitness app) - a seed-funded startup where he built state-of-the-art computer vision models, scaled the product to 150k+ users, and grew the team to 20+ members. Before starting up, Sourabh worked as an AI consultant at Bosch (autonomous driving) & a quant associate at Goldman Sachs. He graduated from IIT Bombay, where he studied Electrical Engineering.
Shikha was a venture builder and SaaS investor in the past. She has worked with several deeptech companies in her previous work experience and has contributed to their growth journeys by providing support on their GTM startegy
Open-source Datadog for machine learning models
UpTrain is an open-source ML observability and refinement tool that provides real-time visibility into production model health, automatically collects outliers and distribution shifts, and continuously retrains models to improve accuracy. It targets data scientists deploying ML systems and offers integrations with major ML libraries without modifying production pipelines.
From the original launch (Feb 2023) — may be outdated.
Formerly “Oodles.ai”, “upTrain AI” · why startups rename →
AI RCM assistant that handles any insurance task on payer portals for…
AI Agents for Healthcare RCM
