We’re part of the team at CureMD (YC alum in health tech) and wanted to share a product we’ve been building to tackle a very specific but critical challenge: automating pathology medical billing.
Pathology billing is complex—each specimen may generate multiple CPT codes, modifiers, and payer-specific rules. Errors are costly and denials are frequent. To solve this, we built an AI-assisted module integrated into our EHR and RCM platform that:
Maps LIS data to charge entries in real time via HL7
Auto-generates accurate codes based on structured pathology reports
Flags billing conflicts using rule-based and machine learning systems
Reduces claim rejections and boosts clean claim rates
We’d love feedback on:
How others approach healthcare workflow automation
Tools you use to integrate structured medical data
Pain points you’ve faced in similar domains
Code is closed for now due to compliance, but we're considering a public demo or case study if there's interest. Happy to answer any technical or process questions.
— Atif, Health IT at CureMD