Laboratory Software: Samples, Tests and Accreditation

Laboratory software earns its place when it records every sample step as who, what and when, from intake to the final report. That record is exactly what accreditation and audits ask for. Below we compare spreadsheets with a purpose-built system and show how to decide.

Where laboratory records usually break

Most laboratories do not fail at analysis. They fail at paperwork around it. A sample arrives, someone writes it in a notebook, a result lands in a spreadsheet, and the report is typed into a document by a third person.

Each handoff is a place where a value gets retyped, a version gets overwritten or a signature goes missing. Nobody notices until an auditor asks which instrument produced a specific result.

The pattern is familiar: the data exists, but it is scattered. Reconstructing the story of one sample takes an hour instead of a minute.

What accreditation actually expects from you

Accreditation bodies use ISO/IEC 17025 as the yardstick when they assess and accredit laboratories. In Türkiye, accreditation is voluntary, and TÜRKAK carries out the accreditation of testing laboratories on the basis of TS EN ISO/IEC 17025.

You do not need software to be accredited. You do need to prove, on demand, how each result came to exist: the method, the person, the equipment and the approval.

That is a records problem first and a technology problem second. Software helps because it makes the proof a by-product of daily work instead of a separate task before an audit.

One sample, one continuous trail

Think of a single sample. It is received, registered, assigned a test plan, analysed, approved and reported. In a well-built system these are not separate files but one flow.

Sample traceability means every step from intake to disposal is logged with who did what and when. If a customer questions a result six months later, you open the sample and read its history instead of asking colleagues what they remember.

A common mistake is to trace only the result and ignore the sample's handling before analysis. Auditors often ask about both.

• Intake: who received the sample and when
• Test plan: which analyses were requested
• Analysis: which person, instrument and method
• Approval: who signed off the result
• Report: which version was issued and to whom

Tests, methods and instruments: define them once

The analysis plan, the method and the instrument pairing should follow the standard you work to. When these are defined in the system, an analyst cannot quietly run a test with an unlisted method.

In Nexfabra you model the laboratory process around your own methods rather than bending your practice to a fixed template. This matters for laboratories whose procedures differ from the textbook version.

The practical benefit is consistency. Two analysts handling the same test follow the same definition, and any deviation leaves a visible mark.

Result approval and reports without manual relays

Results rarely go straight to the customer. A technician enters them, a senior reviews them, and a manager releases the report. With business rules, this multi-step approval runs automatically and routes each result to the right person.

Report generation follows the same logic. When approved data feeds the report directly, you remove the retyping step where most transcription errors are born.

The audit trail then completes the picture: a full, unalterable history of operations. Nobody can edit the past quietly, which is precisely why an auditor trusts it.

Spreadsheets or laboratory software: an honest comparison

Spreadsheets are not the enemy. For a small laboratory with few samples and one analyst, a disciplined spreadsheet can work. The trouble starts when volume, staff or audit pressure grows.

The table below sets the two approaches side by side so you can judge where your laboratory stands.

Seeing deadlines and workload before they bite

Turnaround time is a promise to your customer. When samples queue up at one instrument or with one analyst, the delay shows only after the deadline passes.

Dynamic lists keep time and load tracking live. You see which samples are close to their due date and where the bottleneck sits today, not at the end of the month.

This is also where personal data deserves a thought. If your samples or customer records contain personal data, the law requires you, as the data controller, to take the technical and administrative measures suited to its nature. Role-based approvals and a traceable history support that duty.

Decide by your audit pain, then test with one flow

Choose spreadsheets if your volume is low, one person handles everything and audits are rare. Choose dedicated software if you struggle to reconstruct a sample's history, chase approvals by email or cannot see your queue.

Do not migrate everything at once. Pick one test family, model it with its method and approval steps, and run it for a few weeks. Then compare how long it takes to answer an auditor's question.

To see how this works in practice, read about the Nexfabra laboratory software module. If your laboratory sits inside a factory, the guide on production management software shows how work orders connect to the shop floor. For field sampling and equipment visits, service management software covers the fault-to-closure flow.