Laboratory Information Management Systems (LIMS)

A laboratory information management system should give a laboratory control over samples, tests, results and reports. In practice, projects often go wrong in predictable ways. Requirements are copied from a vendor brochure, workflows are automated as they are rather than as they should be, instruments are not integrated, master data is inconsistent, validation is treated as paperwork and users find workarounds. The result is a costly system that auditors question and staff do not trust.

This programme treats a LIMS as part of the laboratory management system, not as an IT product. It moves from mapping the laboratory's processes and data flows, through writing requirements and selecting a solution, to configuration, validation, go-live and continuous improvement, with data integrity and quality requirements running through every stage.

Built on recognised practice. The programme references ISO/IEC 17025:2017, in particular its requirements for the control of data and information management, the ASTM E1578 guide to laboratory informatics, the OECD Principles of Good Laboratory Practice and related OECD guidance on computerised systems, the ALCOA+ data integrity principles and the risk-based validation approach of ISPE GAMP 5. Where relevant, regulated laboratories are shown how FDA 21 CFR Part 11 and EU GMP Annex 11 affect electronic records and signatures.

Decisions this programme improves. Whether the laboratory is ready for a LIMS; which requirements are essential and which are preferences; how to compare vendors, including cloud and on-premises options; how much validation is proportionate; how to plan data migration and instrument integration; and how to judge whether the system is delivering value after go-live.

How it is delivered. Twenty hours across five sessions, built around one running case: a testing laboratory moving from paper and spreadsheets to a LIMS. Participants map its sample workflow, write user requirements, score two vendor proposals, draft a validation plan and prepare a go-live readiness check.

In-house option. For organisations, the programme can be built around your own laboratory workflows, existing systems and current or planned LIMS, and delivered to laboratory, quality and IT staff together.

Who Should Attend

Laboratory managers and supervisors in testing, calibration, research and quality control laboratories

Quality managers and quality assurance staff responsible for ISO/IEC 17025 or GLP compliance

Laboratory analysts and specialists who will define requirements or act as super-users

IT and digital staff supporting laboratory systems

Project managers leading LIMS selection or implementation

Laboratories in oil and gas, utilities, water, food, environment, health and industry

Objectives

Explain how a LIMS supports sample management, testing, review, reporting and traceability in a laboratory

Map laboratory workflows and data flows and identify where errors and transcription risks occur

Relate LIMS functions to the information management and data control requirements of ISO/IEC 17025

Write clear, testable user requirements, separating essential needs from preferences

Evaluate LIMS options and vendor proposals, including cloud and on-premises models, using weighted criteria

Plan configuration, master data, instrument integration and data migration

Prepare a risk-based validation approach, including test scripts and acceptance criteria

Apply ALCOA+ data integrity principles to user access, audit trails, review and approval

Plan training, go-live and change management to reduce workarounds

Define key performance indicators to monitor turnaround, quality and system use after implementation

Course Outline

The LIMS in the Laboratory Management System

What a LIMS does and does not do: LIMS, ELN, LES, SDMS and chromatography data systems
Sample life cycle: registration, chain of custody, testing, review and reporting
Traceability of results to methods, equipment, reagents and staff
ISO/IEC 17025 requirements for data control and information management
Good Laboratory Practice and computerised systems
Common reasons LIMS projects disappoint

Defining What the Laboratory Needs

Mapping current workflows and identifying bottlenecks
Data flows, master data and specifications
Writing user requirements that can be tested
Instrument integration and interfaces with ERP and other systems
Reporting, certificates of analysis and customer portals
Building the business case and estimating total cost of ownership

Selecting a Solution and Planning Implementation

Market options: configurable products, sector-specific solutions and cloud services
Vendor evaluation criteria and weighted scoring
Demonstrations and scripted scenarios
Contract, support, hosting and data ownership considerations
Project governance, roles and implementation phases
Configuration versus customisation

Validation, Data Integrity and Security

Risk-based validation and the GAMP 5 approach
Validation plan, test scripts, acceptance criteria and report
ALCOA+ principles in practice
Audit trails, electronic records and electronic signatures
User access, segregation of duties and cyber security
Backup, archiving, business continuity and data migration checks

Go-Live, Adoption and Continuous Improvement

Training and super-user networks
Go-live readiness and cut-over planning
Handling change requests and configuration control
Performance indicators: turnaround time, backlog, rework and use
Using LIMS data for trend analysis and quality control
Automation, analytics and AI features: realistic benefits and risks
Action plan for your laboratory

Competencies

LIMS scope and function mapping

Laboratory workflow and data flow analysis

User requirement specification

Vendor evaluation and selection

Instrument integration and data migration planning

Risk-based computerised system validation

Data integrity and ALCOA+ controls

Change management and user adoption

Laboratory performance indicators

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