Keep samples connected to patient orders and testing so laboratory teams can see what is being processed and what comes next.
Preserve the relationship between sample, patient, order and result throughout the workflow. The goal is to give the next person the context, status, and configured information needed to continue the work.
Sample management preserves the link between a specimen and the work it represents. The essential question is whether staff can see what was received, which order it belongs to, what processing state it is in, and what result work remains.
At intake, associate the sample with the patient, order, requested tests, collection details, and any identifier the laboratory uses. A sample record without order context is difficult to act on safely.
Received, processing, pending, rejected, completed, and ready-for-review states should answer what happens next and who owns it. Status labels are useful when they drive a real handoff rather than simply decorate a record.
Insufficient, mislabeled, delayed, or rejected samples require an explicit path. Record the exception, connect it to the affected order, and make the impact on result and report completion visible.
When results are entered and verified, the operator should not need to reconstruct which sample or order they belong to. Traceability is preserved when the same context follows the sample through the final report.
Designed for: Laboratories that need clearer operational handoffs around specimen processing.
Sample management matters because a specimen only has operational meaning when it remains connected to the right patient, order and testing process. The stages below show where this capability creates a clear handoff in that process.
Connect the sample to its order.
Move it through testing.
Attach results to the correct context.
Continue to verification and reporting.
Associate samples with the correct order at intake. Use the remaining capabilities below to assess the records, decisions, and handoffs that matter to this workflow.
For laboratories that need clearer operational handoffs around specimen processing., these scenarios show how the workflow can support the daily records and handoffs that need to remain dependable.
Keep samples associated with the correct patient and order.
Give teams a clearer view of processing status.
Carry sample context forward into result entry and reporting.
Sample management connects specimens to patient orders and the laboratory work performed on them.
Keeping the relationship intact helps teams associate results with the correct patient and testing context.
For laboratories that need clearer operational handoffs around specimen processing., the product evidence below shows how PathMLT connects this capability to configurable laboratory records and workflows. Exact fields, permissions, and report configuration can vary by laboratory setup.
For sample management, tests can include categories, departments, specimen information, methods, turnaround time and reusable parameters. Parameters support numeric, text, select, multiline, boolean, date and qualitative inputs.
Explore test managementIn a sample management workflow, the report process loads a laboratory test configuration and its parameters so results can be entered against defined fields instead of rebuilding report content manually.
Explore result entryFor teams evaluating sample management, PathMLT separates result entry from review and finalization, giving them a deliberate checkpoint for required values, flags and completed result sets before release.
Explore result verificationOnce sample management is complete, PathMLT can turn the structured result data into a patient-facing laboratory report, including PDF output for delivery or printing.
Explore PDF reportsSample management matters because a specimen only has operational meaning when it remains connected to the right patient, order and testing process.
Associate samples with the correct order at intake.
Make processing state visible to the people responsible for the next step.
Carry sample context forward rather than forcing result-entry staff to reconstruct it.
Use sample management as an entry point, then follow the linked operational steps to evaluate the complete workflow rather than an isolated screen.
Start with the sample management process your team performs most often. Then discuss the configuration, report format, access responsibilities, and implementation support that matter to you.