Krasyn is an AI-native EMR built for independent outpatient practices. An ambient AI scribe drafts your SOAP notes from the visit. Prior-auth tracking, free ICD-10/CPT code lookup, and billing analytics — so you spend your time with patients, not paperwork. Every AI draft is reviewed and signed by the clinician; nothing posts to the chart on its own.
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Hey Product Hunt — Ben here, founder of Krasyn.
The problem I started from: the average primary care physician spends more than two hours a day on documentation. That's not a small inefficiency — it's a leading driver of burnout in medicine. Physicians enter the profession to care for patients, not to spend their evenings typing SOAP notes and hunting for the right ICD-10 code.
I built Krasyn to fix that for independent outpatient practices. What it does today:
Ambient AI Scribe — starts listening when the visit begins and drafts a structured SOAP note by the time the patient leaves. The physician reviews and signs; nothing posts to the chart without their approval. Every section carries a confidence score and links back to the transcript span it came from, so you can check the draft rather than trust it.
Prior Auth that doesn't get lost — every authorization in one queue with its payer, status, expiry and approval rate, plus a review-first brief telling you which one to work next and what evidence it still needs. If you want the letter itself drafted, that's our separate tool at priorauth.krasyn.com.
ICD-10/CPT Code Lookup — free, no account required, at codes.krasyn.com. Medical codes should be easy to access. No paywall.
Billing Analytics — surfacing revenue leakage and coding gaps so a small practice can run its revenue cycle without a dedicated team.
The stack is .NET 8 / Blazor Server, Firebase, and Azure OpenAI. PHI stays in our Azure tenant under a BAA and is not sent to third-party AI providers.
We're in early access with outpatient clinics. If you're a physician, PA, NP, or practice manager who wants to try it — or you just want to ask about the architecture — I'm here all day.
What would you want to see next?