Healthcare data · Interoperability · Applied AI
The model is never the hard part
DEXPRA works on healthcare data where it actually breaks: between systems. We publish what we’ve learned about interoperability, data platforms, and clinical AI — and give away the tools we built to do the work.
What DEXPRA does
We’re a healthcare data practice working on interoperability, data platforms, and applied AI/ML. Our background is in surgical robotics, medical imaging, and clinical data platforms — built inside device manufacturers, imaging vendors, and life-sciences organisations.
Right now we’re publishing. Advisory work is limited and by enquiry.
About DEXPRA- Interoperability
Standards that survive implementation
FHIR, HL7 v2, DICOM, IHE, and terminology — where conformance ends and adoption begins.
- Data platforms
Foundations products can be built on
Source systems, canonical models, APIs, eventing, identity, lineage, and governance that holds.
- Applied AI
AI that clears the clinical bar
LLM applications, RAG, agentic workflows, evaluation design, and the honest answer about when not to use a model.
- Industry updates
What changed, and what it means
Standards releases, regulatory movement, and platform shifts — with an implementation read, not a summary.
Latest
All insights- Guide · Interoperability· 11 min
IHE Radiology: how imaging systems are made to work together
- Guide · Interoperability· 8 min
DICOM: not just a file format for medical images