Offline and Edge AI

Healthcare workflows that keep working when connectivity doesn't. Clinical capture and client-side AI agents run on a tablet, then sync to FHIR-based systems such as Medplum when the network returns.

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Offline and Edge AI on a tablet A tablet working offline with three visits captured and analyzed on the device, waiting to sync to the main record when the network returns. Today’s visits Offline 9:10 AM Home visit, wound check AI analysis done 10:45 AM Home visit, follow-up AI analysis done 1:20 PM Rural clinic intake AI analysis done 3 visits waiting to sync to the main record Syncs automatically when the network returns

How it works

How Offline and Edge AI works A clinician captures data on a tablet at the point of care. A local app and client-side AI agents work on the tablet with no network. When connectivity returns, data syncs as FHIR resources to Medplum or another FHIR server. Point of care Clinician on a tablet at a home visit or clinic On the tablet Works with no network Local app Capture, forms and images, stored securely AI agents Client-side, running locally, no server needed Sync FHIR backend Medplum or another FHIR server, and systems beyond it
Care happens on the tablet. The network is only needed to sync, and syncing happens on its own when the connection comes back.

What it does

Works with no network

Clinicians capture data, complete forms and take images on a tablet at the point of care whether or not there is a connection. The visit never waits on the network.

Client-side AI agents

AI runs locally on the tablet, so assistance is available during the visit itself, not later when the data reaches a server.

Protected on the device

Data stays secured on the tablet until it syncs, with the same attention to PII handling and audit that we bring to federal health programs.

Automatic sync

When connectivity returns, records synchronize to the underlying FHIR server, such as Medplum, without the clinician having to do anything.

FHIR from the start

Records sync as standard FHIR resources, so they land in Medplum or any FHIR-based system ready to use, and flow on to EHRs and other systems from there.

Built from field experience

Designed by the team behind large-scale health data capture for VA research and COVID-19 reporting, where data had to be captured reliably and at scale.

Where it is used

Home health visits

Patients’ homes rarely have reliable coverage. Clinicians keep working and the record catches up afterwards.

Rural and mobile clinics

Sites with weak or intermittent connectivity get the same tools as a connected hospital.

Field and disaster response

Teams working where networks are down or overloaded can still capture and act on clinical data.

Facilities with unreliable networks

Basements, older buildings and congested Wi-Fi stop being a reason documentation gets delayed.

It runs on the same FHIR platform as Deosi WoundCare and the AI Claims Agent, so a visit captured offline can flow on to documentation and a claim once it syncs. See how the platform fits together.

Offline and Edge AI is ready to deploy. Request a demo and we will walk through it with your own setting and workflow.

Working where the network can't be trusted?

Tell us about your setting and the work that has to happen at the point of care.

Request a demo