How AI Fixes Medical Record Errors | $125B Healthcare Problem Solved скачать в хорошем качестве

How AI Fixes Medical Record Errors | $125B Healthcare Problem Solved

Medical documentation errors cost U.S. hospitals over $70 billion in denied claims and $55 billion in lawsuits every year. In this episode, we sit down with Dimitri, Founder & CEO of WorkDone Health, a Y Combinator-backed startup that’s building the "Grammarly for medical records." WorkDone Health automates chart review, compliance checks, and billing validation in real-time, preventing errors before they cost hospitals money—or compromise patient safety. We explore: Why CFOs are the first to feel the pain of documentation errors How AI-powered compliance and quality checks reduce denials Lessons from Y Combinator and scaling a healthcare startup Why WorkDone could be the antidote to insurance AI denials If you’re a healthcare leader, investor, or builder in healthtech, this episode shows the future of clinical documentation. Timestamps: 0:00 – Intro: The cost of documentation errors ($70B in denials, $55B lawsuits) 1:00 – Dimitri’s journey: From physics to healthcare AI 3:00 – The problem: Reactive vs. proactive documentation review 5:15 – Real-world example: Left vs. right shoulder conflict 7:00 – Sepsis bundle case study 9:00 – How WorkDone Health prevents denials in real time 12:00 – Impact on CFO metrics: denials, lawsuits, billing cycle 14:30 – The “antidote” to insurance AI claim denials 18:00 – How the tool works: real-time vs. batch checks 22:00 – Prioritization of alerts: reducing physician burden 27:00 – Vision: “Grammarly for medical documentation” 29:00 – Lessons from Y Combinator for healthtech startups 32:00 – HIPAA compliance and why it matters from Day 1 37:00 – Future of WorkDone: API integrations with EMRs Dimtry Karpov:   / dmitrykarpov   WorkDone:   / workdonehealth   WorkDone: https://www.wrkdn.com/ Roupen Odabashian:   / roupen-odabashian-md-frcpc-abim-183aaa142