E-prescribing infrastructure for telehealth

E-prescribing for your telehealth product. Submit an order with one API call. Track it to the pharmacy.

We create and transmit the prescriptions underneath each order, and keep its status accurate even when the vendor's webhooks fall short. Built by engineers who have run this integration before.

Sandbox coming soon. Waitlist members get access first.

Submit an orderIllustrative
POST /orders

<order: medication, dosage, directions,
 pharmacy>

→ <order_id>, status: validated
Order <order_id>Filled
  1. Validated14:00:12api
  2. Queued14:00:12api
  3. Transmitted14:00:41webhook
  4. Received by pharmacy14:02:05poll
  5. Filled16:38:50poll

Order status rolls up from the prescriptions underneath it.

Who this is for

For the teams that own prescribing

Engineering

An integration you don't have to relearn

A REST API and webhooks, with a typed client in development. We take on as much of the vendor work as their terms allow, so more of your time goes to your own product.

Operations

Fewer failed or stuck orders

Problems surface early, with the field that needs fixing. One status view for every order, so your team stops chasing the vendor for answers.

Product

Launch prescribing sooner

Less vendor onboarding on your critical path, wherever the vendor's process allows it. One reliable status view to build your patient and clinician experience on.

What actually goes wrong

The integration isn't the hard part. The vendor is.

We've built this integration before. The API documentation was never the problem, this was.

Coverage gaps

Webhooks that don't exist yet

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.

Onboarding overhead

Weeks of meetings before you write code that matters

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.

Tooling

A dashboard that wasn't built for your team

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.

What we do instead

Every one of those, handled

API

An API, not an embedded window

Most prescribing vendors lead with an iframe. It drops in quickly. What happens inside it stays inside it.

Noga Health is a REST API. You submit and track orders with plain HTTP requests. Status changes arrive as webhooks. A typed TypeScript client is in development, so request and response types stay in step with the API.

Submit an order · Illustrative
const client = new Client("<api_key>");

const order = await client.orders.create({
  /* <medication, dosage,
     directions, pharmacy> */
});

// order: <order_id>, status: validated
Status change event · Illustrative
{
  "event": "<order status changed>",
  "order": "<order_id>",
  "status": "<received by pharmacy>",
  "reported_by": "<webhook | poll>",
  "at": "<timestamp>"
}
Reliability

Status you can trust, even when the vendor's webhooks can't be

Noga Health polls the prescriptions under every order that hasn't reached a final state and reconciles them against the network directly. If a webhook event was never built on the vendor's side, the status change still shows up. Your dashboard reflects what's actually true, not just what the vendor remembered to tell you.

Validation

Errors caught before they reach a pharmacy

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. When a check fails, the error goes back to your application right away, with the specific field that needs to change.

Independence

Designed to outlive any one vendor

Prescribing vendors merge, deprecate endpoints, and change terms. Noga Health doesn't bet on one vendor staying put. If the network underneath changes, your integration doesn't have to.

Build versus buy

What building this yourself costs

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.

Building it in house$160,333

That's roughly 35 weeks of engineering time spent on prescribing instead of your product.

Noga Health pricing is set with design partners.

Indicative estimates, 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. Engineering time is engineers multiplied by months to launch. Prescribing-network fees are excluded.

Early access

Request access

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.

  • Direct access to the engineering team during integration
  • Input on which capabilities ship first

Request received

We'll be in touch when there's a sandbox worth your time.