Reference labs, hospital labs, and specialty labs work with ML Health AI to clear requisition backlogs, remove re-keying, and get specimens onto the right bench before the accessioning team even arrives for shift.
A typical reference lab receives 1,200–3,000 faxed and scanned requisitions per day. More than half are handwritten. A quarter are missing at least one billable field. And a routine shift spends its first three hours re-keying — not running tests.
We build systems that read every requisition the moment it lands, reconcile it against the patient record, route it to the correct bench, and hand off a claim-ready billing packet. Before the tech picks up the specimen, it's already accessioned.
Target outcomes we design every lab automation engagement around. Actual numbers depend on your starting point, payer mix, and document volume.
Lab automation means different things at different benches. We build for the difference.
CBC, CMP, lipid panels, HbA1c. Routed by shift capacity and courier window; auto-batched for analyzer throughput.
Sequencing panels, oncology assays, infectious disease PCR. Pre-auth-heavy — packets bundled and submitted before accessioning.
Slide requisitions reconciled against specimen containers. Case priority (STAT, routine, research) routed by bench queue depth.
Culture requisitions with source-site mapping, organism-specific ordering, and antibiotic susceptibility pre-selection.
Chain-of-custody documentation captured at intake; confirmation orders routed to mass-spec bench with full audit provenance.
Send-out testing routed by reference-lab contract, turnaround time, and in-network payer status.
We stopped hiring accessioners. For the first time in nine years, our daily volume grew and our intake headcount didn't.
Send 500 sample requisitions. We'll extract, verify, and route them through a sandbox against your EMR and LIS — so you see the numbers before you sign anything.