digitaltzar

5 ms·

1.
by digitaltzar 6mo ago
Thank you!
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Show HN: Adentris (YC P25) – Find mistakes in your medical records
16 points by digitaltzar 6mo ago|4 comments
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by digitaltzar 1y ago
Greatly appreciated!
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by digitaltzar 1y ago
Thank you!
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by digitaltzar 1y ago
Agreed, many reasons to admire them
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by digitaltzar 1y ago
:)
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by digitaltzar 1y ago
Thank you for these thoughts. I think billing inefficiencies caused by documentation make both hospitals and insures lose - one will get paid later, one will pay anyway, but the process is costly for patients who finance both, in the end of
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by digitaltzar 1y ago
Thank you so much! Lets explore! Could you please ping me at dmitry.k@wrkdn.com or let me know what is the best way to connect
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by digitaltzar 1y ago
My friend who works now as an engineer at Apple interviewed with Epic 6 years ago - he got a guidance from a fellow to make a few mistakes in test tasks to increase chance of getting a job offer, and it worked - he got the offer
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by digitaltzar 1y ago
Thank you, human stories like this made us passionate about solving this issue! Talked today to a behavioral health clinic that has 65 different payors, all with own set of billing rules and documentation standards!
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by digitaltzar 1y ago
The agents are LLM-based but for orchestration we use other ML methods
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by digitaltzar 1y ago
Thank you for the insights, I believe the challenge they have is related to CPT coding - not mistakes or errors, but the completeness' of clinical picture fro m the billing/insurance standpoint. A lot of this coding knowledge is t
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by digitaltzar 1y ago
Very insightful, thank you! A comment on claim-amplifying customers - optimizing for the insurance payouts actually forces providers to adopt certain standards of compliance for medical records - here we are not talking about mistakes but a
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by digitaltzar 1y ago
Now I understand your question. I can provide and example where a small documentation error may cause patient harm - wrong copy-pasting in a discharge note, copying from other personal medical record and accidentally pulling their diagnosis
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by digitaltzar 1y ago
Not with Epic, we work with Kipu and Athena for now
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by digitaltzar 1y ago
Not only US, e.g. the whole clinical world is now moving into AI-powered scribing of doctor visits, it really depends on the deployment model - where are LLMs, how they comply with local regulations. But access of AI to medical charts is a
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by digitaltzar 1y ago
Great questions, indeed this is a kingdom of red tape. We realized that our fist users likely will be small providers but who currently lose $$ on denied/delayed claims. Talked to the first cohort of them - rehabs, allergy clinic, men&
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by digitaltzar 1y ago
For them it's a cost of doing business. Many of those claims will be paid after resubmissions (upon fixes the mistakes if it is possible) but the office operates with higher amount of working capital in this case
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by digitaltzar 1y ago
It's a rough journey, we are exploring how MCP makes it easier. Haven't met anyone who say that they like their EHR interface yet.
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by digitaltzar 1y ago
Thank you! We are at wrkdn.com To start, we integrate with Kipu and Athena, just happened that our first clients are rehabs and clinics that use these 2. Good point on the desire to stay in HR for the review workflow, this is our vision tha
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by digitaltzar 1y ago
Thank you! 1. It really depends on the clinical specialty, but the average is around 25% (e.g. 250M claims denied a year because of documentation mistakes). We work with rehabs where this ratio is above 50% 2. It's triple checking -tun
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Launch HN: WorkDone (YC X25) – AI Audit of Medical Charts
79 points by digitaltzar 1y ago|60 comments