Free resource · DICOM pathology
DICOM Pathology Readiness Pack
The evidence we ask for before a lab buys a scanner, converter, archive or AI platform: how to tell a real DICOM pathology implementation from a thin wrapper before it reaches a patient's slide.
It builds on our article What Matters in 2026: DICOMweb, Decentralized Identity and Where Blockchain Actually Fits.
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What's inside
Four tools for the decision before the purchase.
01
Procurement evidence checklist
Eight things to collect from every scanner, converter, archive and AI vendor, with pass criteria and the failure each one catches. "DICOM-compliant" becomes evidence, not a claim.
02
Readiness lab outline
How to test your own sample slides on an open-source archive and viewer before you buy: field-by-field checks, identifiers and a full round trip, with no patient data.
03
Conversion and egress sizing worksheet
Formulas for storage, edge conversion capacity and network headroom from your own measurements, plus the alerts that catch a backlog before it reaches sign-out.
04
The 2026 imaging architecture
Edge conversion, DICOMweb, AI results written back to the archive and the trust layer across every step, as a full-page drawing for your team.
How it works
Request, review, delivery.
- You request itWith your work email and how you found us.
- We review itA person on our team reads every request.
- It arrives by emailApproved requests get the PDF from CarolinaEMR.