For multi-site pathology collection networks
Every specimen,
evidenced.
The compliance system of record for pathology collection. Five of the seven steps between a GP referral and the lab bench currently leave no record. That is the gap assessors ask about.
Exhibit A
Can you prove what happened at every site?
The black box
Every step evidenced
No system of record
Operations run on paper and habit. When an assessor asks for evidence, there is none.
Audit prep by hand
Evidence that should exist automatically is assembled manually before every cycle, costing days per site.
No live visibility
Each site operates in isolation. Gaps surface only when they become findings.
PathLab Assist opens the black box.
The stakes
One assessment covers everything. Accreditation is what keeps a provider eligible for reimbursement, and pre-examination traceability is on the checklist.
Exhibit B
The requirement, and the mechanism that answers it
Three of the clauses an assessor opens, and what answers each. The full set is on the compliance page.
Collection must follow written protocols with accurate patient identification.
A guided bench that will not proceed until identity is verified, then a 9-point NPAAC checklist.
In the product todaySpecimens must be traceable at all times.
Custody tracked per tube, not per shipment, from draw to lab receipt.
In the product todayRecords sufficient to reconstruct what happened, available to an assessor.
Every create, update and delete captured automatically, exportable as an assessor-ready report.
In the product todayExhibit C
What the record actually looks like
Screens from the product as it runs today. No mockups, no stock imagery. Collected, received, and delivered into the lab's LIS.
Walk the audit trail with us.
Tell us how your collection network runs today. We reply personally to organise a walkthrough and, if it fits, discuss the pilot programme.
Book a discovery call- You send the formEnough about your network that a first call can be useful.
- A person repliesNot an automated sequence. We say whether we think there is a fit.
- We walk the productA screen share on our own data, judged against how your sites run.