After the note is closed
Visits coded below what the documentation supports turn up weeks later. The revenue is already lost, and the fix is a conversation with the physician nobody wants to have.
Clinical AI that sees what the clinician sees
Your AI reads the encounter while it's still open and guides the clinician before the note is signed, while they can still act on it. Not in a review weeks later.
- Runs in 38 EHR systems
- Live in 45 days or less
- Chrome or Edge, one install per workstation
- HIPAA, BAA included
Before the note is signed, not after
Most clinical AI reviews the encounter after it's closed. By then the visit is coded and the note is locked, and the best it can produce is a report and a list of physicians to chase. On Bridge, your AI reads the encounter while it's open and speaks while the clinician can still change it.
Before it's signed
One of our earliest AI clients reads the encounter before it's locked and suggests the code the documentation supports. The physician fixes it in seconds, and the visit is billed correctly the first time.
An incredible model relegated to another tab goes unused
Most clinical AI stalls at the last step. The answer exists; it just isn't in front of the clinician when they need it.
Another window to open
Clinicians don't leave the chart mid-visit to check a separate tool, however good it is.
Context typed in by hand
If the tool can't see the chart, someone has to copy the patient's details into it, every time.
Answers that have to be carried back
A recommendation in another system still has to be turned into a referral, an order or a note by hand.
A chat window only knows what it's told
Your AI on Bridge works from the chart itself, so its answer rests on the same information the clinician is using to decide.
| Capability | A separate AI tool | Your AI on Bridge |
|---|---|---|
| What it knows about the patient | What someone types or pastes in | What the signed-in clinician can see in the EHR |
| Where the clinician sees it | Another window or tab | Beside the chart, in the same session |
| When it speaks up | When someone remembers to ask | As the chart changes, while the note is still open |
| Acting on the answer | Copied back by hand | One click from the panel |
| Reaching every clinic | A login and a habit per user | 38 EHRs, one install per workstation |
What Bridge gives your AI tooling
The four things your AI tooling needs to become part of the visit, in every EHR Bridge runs in.
A place in the chart
Your app opens in a panel beside the patient chart, inside the clinician's own EHR session. No second screen and no separate login.
What the clinician sees
Your app gets the chart the clinician has open as they move between patients, down to a diagnosis entered before the note is signed, and can be given whatever their login can see.
A light, not an alert
When your model finds something, your button lights up beside the chart. Nothing pops up over the clinician's work; they look when they are ready.
One click to act
Refer, enroll or request from your panel. The action goes to your backend, so your model's answer becomes work your team can follow.
Three ways in
Whichever way you start, it is the same platform and the same panel in the chart.
AI companiesWe build it for youSend us your model's API. We build and run the panel, and keep it working as the EHRs change.Talk to us Engineering teamsBuild on the SDKChart-context events, tile and panel control, and sign-in. Bring an AI app you already have, or build a new one, in your own interface.Read the SDK docs CliniciansBuild it without codeTurn your clinical know-how into a tool your colleagues use in the chart. The builder is in early access.Join early access
Patient data goes to your model, not through us
Your app works inside the clinician's browser, so patient data doesn't have to leave the device. When your model needs it, it goes from the browser to your backend, under your BAA with the clinic.
The chart reaches your app in the browser
Bridge reads the open chart in the clinician's session and hands it to your app there. It doesn't pass through our servers.
Your model gets what you send it
If your model runs in your cloud, your app sends it the context it needs, straight to your backend.
Our servers never hold patient data
Bridge's backend handles sign-in, settings and health checks. It has no patient data store.
One app, in every EHR it needs to reach
Build your AI's panel once. Bridge carries it into each EHR it runs in, at every clinic that installs it.
- EHRs
- 38+
- active workstation installs
- 12,000+
- patient charts daily
- 80,000+
As of September 2026.
Running today in
- athenahealth
- eClinicalWorks
- NextGen Healthcare
- ModMed
- WebPT
- Prompt EMR
- OncoEMR
- iKnowMed
- PointClickCare
- MatrixCare
- Netsmart
- MEDITECH
- Elation Health
- Tebra
- AdvancedMD
- Raintree Systems
- See all 38
All product names are trademarks of their respective owners. Their use here indicates the systems Bridge runs in and does not imply endorsement or affiliation.
Questions AI teams ask first
- Do you host or train our model?
- No. Your model runs where it runs today. Bridge carries the chart to your app and your app's answer to the clinician.
- How much of the chart can our app see?
- The patient, encounter, insurance and problem list come standard. Beyond that, Bridge can give your app what the signed-in clinician can see in the EHR, so your model works from the same information they do.
- We built a prototype in a chat tool. Can it run in the chart?
- The intelligence can; the chat window usually shouldn't. Clinicians act on a clear answer and a button, so we help you turn the prototype's output into a panel.
- Can clinicians build their own tools?
- Yes, with a builder that is in early access. If you have a tool in mind for your colleagues, tell us what it would do.
- Can a health system bring its own internal tool?
- Yes. The platform is the same whether the app is a product you sell or a tool your organization built for its own clinicians.
Show us your model
In 20 minutes we will show you what your AI would look like beside the chart, and what it takes to get it there. Shortly after, we'll set you up with a working demo you can install and use yourself.