How to Choose a LIMS

LIMS selection failures are usually requirements failures. Define how your laboratory actually works before you watch a single demonstration.

1. Write requirements from your real workflow

  • Map sample receipt through to report release, including exceptions and rework
  • Distinguish must-have from nice-to-have, and be strict about it
  • Capture reporting and certificate requirements early — they drive daily satisfaction
  • List instruments to integrate, with software versions
  • List systems to interface: ERP, QMS, ELN, billing, customer portal
  • Note regulatory and data integrity requirements applying to you

2. Evaluate fit rather than feature lists

  • Ask vendors to demonstrate your workflow with your sample types, not a generic script
  • Determine what is configuration versus custom development
  • Establish who can make changes after go-live, and at what cost
  • Test reporting flexibility against a real certificate you issue
  • Have bench analysts, not just managers, use the system in evaluation

3. Ask the hard vendor questions

  • Which of our instruments have you integrated before, and how?
  • What does implementation actually include, and what is our responsibility?
  • How long do comparable implementations take, and what delays them?
  • What validation documentation do you supply, and what must we produce?
  • How are upgrades handled, and do they break configuration?
  • What is included in support, and what is chargeable?
  • Can we export our full dataset in a usable format if we leave?
  • Can we speak to a laboratory of our size and type using it?

4. Plan the implementation honestly

  • Name an internal owner with genuine authority and time
  • Budget internal effort, which usually exceeds expectations
  • Clean master data before migration
  • Phase go-live rather than switching everything at once
  • Plan training, super-users and a support period after go-live
  • Agree acceptance criteria before the project starts

Common mistakes

  • Buying on demonstration polish rather than workflow fit
  • Underestimating instrument integration effort
  • Customising heavily, then being unable to upgrade
  • No internal ownership, so configuration drifts and adoption stalls
  • Ignoring reporting until late, when it is hardest to change

Quick buyer checklist

  • Requirements written from your real workflow, with must-haves separated from nice-to-haves
  • Instrument and system integration list confirmed with versions
  • Vendors demonstrated your workflow, not a generic script
  • Validation documentation and responsibilities agreed in writing
  • Implementation scope, internal effort and timeline estimated honestly
  • Cost compared on total ownership: licences or subscription, implementation, validation, support and upgrades
  • Data export and exit terms confirmed before signing

A note on pricing

We do not publish instrument or software prices. Real transaction prices depend on configuration, condition, accessories, service coverage, installation, region and negotiation, and published list figures are rarely what a laboratory pays. Where you need a figure to plan with, request quotations against a written specification.

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