Automating Complex Medical Billing
Healthcare providers, particularly in specialized fields like pathology, face significant challenges with medical billing due to multiple CPT codes, modifiers, and payer-specific rules for each specimen or service. This complexity leads to frequent errors, claim denials, and substantial financial losses, requiring a robust system for real-time charge entry, accurate code generation, and conflict flagging to reduce rejections.
Legacy stack in place
Legacy ERP + Excel Workaround
- Times mentioned
- 1
- Estimated market
- High
- Source signals
- 6
Where this signal came from
Public discussions from this industry that match this problem. Provenance tracking started recently, so older problems show the closest matching signals.
- Hacker NewsAug 23, 2026
Show HN: We built an AI-powered pathology billing system for EHR platforms
Hi HN, 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.……
- GitHub IssuesAug 27, 2026
Top Behavioral Health EHR Platforms: What Matters Beyond the Feature Checklist
Behavioral health organizations are increasingly evaluating [top behavioral health EHR platforms]( not simply by asking which system has the most features, but by looking at how well the technology supports the realities of behavioral healthcare: complex documentation, recurring treatment plans, multidisciplinary……
- GitHub IssuesAug 31, 2026
Choosing a Mental Health EHR in 2026: What IOP, PHP, and SUD Programs Actually Need to Evaluate
Behavioral health technology decisions used to be an afterthought — a general EHR with a "behavioral health module" bolted on. That approach doesn't survive contact with an actual IOP, PHP, or SUD program anymore. These settings run on group-based documentation, ASAM Level of Care criteria, 42 CFR Part 2……
- Hacker NewsAug 23, 2026
Launch HN: WorkDone (YC X25) – AI Audit of Medical Charts
Hey HN! We’re Dmitry, Sergey, and Alex, co-founders of WorkDone ( ). In one sentence: we built an AI product that audits medical documentation in real time to catch and fix errors before they turn into treatment mistakes or denied insurance claims. We got interested in this problem when we saw how often small……
- Hacker NewsAug 28, 2026
Ask HN: Separating Foundational Models and Governance Layers
1. Separation of Foundational Models and Governance Layers Core Idea You have a foundational AI model—for instance, a large language model (LLM) such as Claude, GPT, or any enterprise-specific variant—that sits at the core of your AI strategy. A governance layer is then placed above this model to handle: Compliance……
- Hacker NewsAug 23, 2026
Launch HN: Metriport (YC S22) – Open-source API for healthcare data exchange
Hey HN, Dima and Colin here from Metriport ( ), an open-source platform that makes it easy for healthcare organizations to access and exchange medical data for their patients. We support all major healthcare IT systems in the US. Try out our product and watch a demo video here: . Oh and here's our github: . If you’ve……
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