Cloud-Native AI Imaging Platform
One platform for diagnostic imaging, from the archive to the read.
LynxMediq brings PACS, RIS, cardiology, AI orchestration, and FHIR interoperability into a single secure cloud. Built for hospitals, imaging centers, and diagnostic networks that are done stitching systems together.
DICOMweb · HL7 v2 · FHIR R4 · Physician-in-the-loop AI
The problem
Imaging runs on too many disconnected systems
A typical department keeps images in a PACS, orders in a RIS, cardiology in its own silo, and AI in yet another tool, with an interface engine holding it together. Every connection is a project, and every handoff drops context.
Fragmented data
Images, orders, reports, and cardiology each live in a different system, so the full picture never sits in one place.
Slow to add AI
Every new algorithm is a separate integration and a separate vendor, which makes adopting AI a project instead of a setting.
Hard to scale
On-premise servers and per-site PACS make it expensive to add a location or share studies across a network.
The platform
Replace the stack with one intelligent platform
Imaging, workflow, reporting, AI, and interoperability in one place, designed for cloud and connected care from the start.
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.
ExploreAI orchestration
Connect any model without disrupting the read
Hospitals should not have to manage fifty separate AI vendors. LynxMediq becomes the orchestration layer that routes each study to the right model, scores the result, and brings it back into the worklist for a physician to confirm.
- Route studies by modality, body part, and indication
- Run in-house and third-party models side by side
- Confidence scores that prioritize the cases that need a closer look
- Findings returned as DICOM SR, SEG, and presentation states
- A full audit trail of which model and version produced each result
- A physician in the loop for every AI-assisted finding
- Prior studies matched and opened beside the current read
- Reports, measurements, and AI findings on one timeline
- Cardiology and radiology history in the same record
- Context that follows the patient across sites and years
Patient intelligence
Move from isolated studies to continuous patient intelligence
Every read is better with the whole patient in view. LynxMediq assembles priors, reports, and findings into a longitudinal record, so a study is never interpreted in a vacuum.
Who it is for
Built for hospitals, imaging centers, and diagnostic networks
The same platform adapts to how each organization reads, reports, and shares imaging.
Hospitals
Bring imaging together across radiology, cardiology, and the wider enterprise.
Learn moreImaging centers
Read more studies a day without adding IT overhead.
Learn moreRadiology groups
Read across every facility you cover from a single worklist.
Learn moreCardiology centers
Unify cardiac imaging and reporting in one record.
Learn moreTeleradiology
Distribute reads securely, at volume, across many client sites.
Learn moreAI vendors
Reach clinical sites through one integration instead of many.
Learn moreSecurity and compliance
Patient data protected by design
Encryption, role-based access, tenant isolation, and immutable audit logs are part of the architecture, not an add-on. LynxMediq is designed for HIPAA compliance and to address GDPR and India DPDP Act 2023 requirements.
Encrypted in transit and at rest
Role-based access and SSO
Immutable audit logging
Tenant isolation
Interoperability
Built to fit the systems you already run
LynxMediq speaks the standards of healthcare imaging, so it connects to the EHR, the RIS, and the modalities without a custom project for every interface.
DICOM
Store and exchange images and structured reports in the universal medical imaging format.
DICOMweb
WADO-RS, QIDO-RS, and STOW-RS for web-native query, retrieve, and store.
HL7 v2
ADT, ORM, and ORU messaging to connect with hospital and departmental systems.
FHIR R4
ImagingStudy, DiagnosticReport, and Patient resources for modern EHR exchange.
FHIRCast
Keep the viewer, reporting, and EHR in the same patient context in real time.
IHE AI Results
Return AI findings as DICOM SR, SEG, and presentation states for clinical review.
SMART on FHIR Roadmap
Launch the viewer from inside the EHR with OAuth2 single sign-on.
IHE profiles Roadmap
XDS-I.b, PIX, PDQ, and Scheduled Workflow for cross-enterprise imaging.
Build the future of diagnostic care with LynxMediq
See how one platform replaces a stack of disconnected systems. We will tailor the demo to your modalities, workflow, and sites.