Highlights from Dmitry Karpov’s Ignite Startups Podcast
Hospitals lose tens of billions every year to documentation errors in medical records—errors that drive claim denials, create patient-safety risk, and expose providers to legal liability. On the Ignite Startups podcast, our CEO & Co-Founder Dmitry Karpov explains how WorkDone Health’s real-time AI compliance co-pilot helps health systems prevent these issues before they happen.
The problem: documentation errors are a massive, preventable drain
Every year, U.S. payers deny ~900 million claims; roughly a quarter stem from documentation issues such as missing notes, conflicting details, or incomplete assessments—costing hospitals millions and risking patient safety and litigation.
WorkDone’s approach: an AI compliance co-pilot inside your EHR
WorkDone integrates with electronic health records to flag issues as clinicians document, interpreting 6,000+ regulatory rules in real time. Compliance teams see prioritized, high-impact fixes and can review 3–5× more cases without adding headcount. The goal isn’t to replace human reviewers, but to amplify them.
Why now: the LLM inflection point
Earlier attempts at automation depended on brittle scripts and constant upkeep. Large language models changed the game by understanding unstructured clinical text and complex, evolving regulations—while our team focuses on minimizing false positives so clinicians and reviewers trust the assist.
Go-to-market: prove value with a hospital’s own data
Selling into hospitals is complex and multi-stakeholder. We target organizations with known compliance challenges (often visible in Joint Commission findings) and run pilots on historical charts. When the AI surfaces the same issues staff uncover manually—only faster and at scale—trust (and contracts) follow.
Dmitry’s journey: from early builder to healthcare AI
Dmitry’s path runs from an early import business in Russia to physics studies, a social analytics startup acquisition, innovation leadership at EY (RPA at scale), and two YC-backed companies—culminating in WorkDone. That mix of automation expertise and founder grit shaped our product and go-to-market.
Takeaways for health system leaders
- Prevent revenue leakage at the source. Shift from retrospective audits to real-time prevention inside documentation workflows.
- Scale coverage without scaling headcount. Use AI triage to focus reviewers on the highest-impact, regulator-relevant issues.
- Build trust with measurable precision. Continuous work on false-positive reduction is essential for clinical adoption.
Watch or read the full conversation
Podcast + transcript: Ignite Startups, Ep. 188 — “How AI Is Fixing a $70 Billion Healthcare Problem with Dmitry Karpov.”
👉 Read/listen here
