Noga Health is the API layer for creating, sending, and tracking prescriptions, built for telehealth companies who need real e-prescribing without spending months finding out what their vendor's integration doesn't tell you up front.
Currently in development. We're onboarding a small group of design partners.
We've built this integration before. The API documentation was never the problem, this was.
Status events you'd expect to receive sometimes aren't sent at all, not delayed, not misconfigured, just missing on the vendor's side. Getting one added can take months of tickets and calls. In the meantime your dashboard shows a prescription as sent when it failed hours ago.
Use-case reviews, test scripts, certification calls, most of it doesn't touch your product, and most of it repeats every time your environment changes.
Vendor consoles are built for the vendor's own support staff, not yours. Debugging a stuck prescription means digging through a UI that was never designed to answer the question you're actually asking.
Most prescribing vendors ship an iframe. It integrates quickly and then sits inside your product looking like someone else's software, with a workflow you cannot change.
Noga Health is a REST API with webhooks and a generated TypeScript client. Prescribing becomes a screen your team designs and controls, with the rest of your clinical workflow around it.
await noga.prescriptions.create({ patient: "pat_8Fh2Qk", medication: "semaglutide-0.25mg-pen", quantity: 4, daysSupply: 28, refills: 2, directions: "Inject 0.25 mg SC once weekly", pharmacy: "phr_1417293", prescriber: "prb_Lm40Za" })
We poll every prescription that hasn't reached a final state and reconcile it against the network directly. It doesn't matter if a webhook event was never built on their end, we catch the status change anyway. Your dashboard reflects what's actually true, not just what the vendor remembered to tell you.
Dose, route, frequency, quantity, and days supply have to agree with each other in structured fields. When they don't, the prescription is rejected hours later by a third party, or a pharmacist calls your clinician for clarification.
A model reads the prescriber's directions and proposes the structured fields; a deterministic validator checks that proposal before anything transmits. Nothing reaches a pharmacy on a model's say-so, failures are caught and returned to your application immediately, with the specific field that needs to change.
Prescribing vendors merge, deprecate endpoints, and change terms. We didn't build this by betting on one vendor staying put, if the network underneath changes, your integration doesn't have to.
A full prescribing integration is typically three to six months of senior engineering, followed by ongoing maintenance that doesn't end. Adjust the inputs to match your team.
Difference in year one: $127,333, plus roughly 17 weeks of engineering time returned to your product roadmap.
Indicative estimates for comparison, not a quote. Salary is loaded at 1.3× to account for benefits and overhead. In-house figures include 20% of one engineer for maintenance across the remainder of the first year. Prescribing-network fees are identical under either approach and pass through at cost, so they are excluded from both sides.
We're onboarding a small number of design partners ahead of general availability. Tell us where you are today and we'll follow up with sandbox access when it's ready.
We'll be in touch when there's a sandbox worth your time. If you're mid-integration right now and want to compare notes sooner, just reply to the confirmation email.