Platform
One platform for imaging, workflow, AI, and interoperability
LynxMediq unifies the imaging archive, clinical workflow, AI, and interoperability into a single cloud-native platform. The pieces work together because they were built together, not wired together after the fact.
Architecture
Six layers, one system
Each layer does its job and shares one data model, so a study, its order, its report, and its AI findings stay connected from the moment it arrives.
Imaging infrastructure
A DICOM-native archive with DICOMweb access and flexible storage, from on-premise disk to AWS HealthImaging.
Clinical workflow
Orders, worklists, hanging protocols, and reporting for radiology and cardiology in one queue.
Interoperability
HL7 v2, FHIR R4, DICOMweb, and FHIRCast connect LynxMediq to the EHR, the RIS, and downstream systems.
AI orchestration
Model routing, confidence scoring, and clinical review keep AI inside the read rather than beside it.
Patient intelligence
Priors, reports, and findings assemble into a longitudinal record that follows each patient over time.
Enterprise administration
Role-based access, tenant isolation, audit logging, and deployment controls for multi-site networks.
Modules
Everything imaging needs, in one place
Start with the modules you need today and turn on the rest when you are ready. They share the same archive, viewer, and identity.
Cloud PACS
A DICOM archive and zero-footprint viewer that reach every site through the browser, with storage on local disk, NAS, S3, or AWS HealthImaging.
ExploreRIS workflow
Orders, scheduling, worklists, and reporting that carry one accession number from referral to signed report.
ExploreCardiology
ECG, echo, and structured cardiac reporting that share the same patient record as the rest of imaging.
ExploreAI orchestration
Route studies to the right model by modality and indication, then bring findings back into the read with a full audit trail.
ExploreAI marketplace
Discover and enable validated diagnostic models, and watch how each one performs on your own studies.
ExploreInteroperability
DICOMweb, HL7 v2, FHIR R4, and FHIRCast, so LynxMediq speaks the language of the systems already in place.
ExplorePatient intelligence
Priors, reports, and AI findings on one timeline, so every study is read in the context of the whole patient.
ExploreWhy unified
One data model, not five integrations
When imaging, orders, reporting, and AI share a record, you stop paying the interface tax. There is less to break, less to reconcile, and far less context lost between systems.
- A single archive for radiology and cardiology imaging
- One identity and one set of permissions across modules
- Studies, orders, reports, and AI results joined by the accession number
- A browser-based viewer with no client software to deploy
- One audit trail across the whole patient record
- Add a module or a site without a migration project
See the platform on your own studies
We will walk through the modules that matter to you and connect them to your modalities and EHR.