Definition of LIMS

A LIMS System (Laboratory Information Management System) is a software developed and designed to manage, track and organise data and processes within the laboratory.

LIMS systems allow automation and management of tasks, such as: sample input registration, sample tracking, work organisation and test assignment, results registration, interfacing with analysers or instruments, inventory management, measuring devices maintenance or results reporting.

The main purpose of a LIMS is to improve laboratory efficiency, ensure data accuracy and traceability, and ensure compliance with industry-specific regulations and standards. A LIMS is suitable for different types of laboratories, such as: clinical analysis laboratories, veterinary laboratories, research laboratories, public health laboratories, water and food laboratories, as well as other scientific and technical testing environments. A LIMS has a sample-based or process-based workflow.

The main features or core components of a LIMS may include:

Samples management: Allowing you to track, trace and manage the samples flow from reception, analysis and report issuance through storage or disposal.

Data management: Structured recording of searchable and usable data, whether analytical or statistical. Enables decisions to be made at an analytical and management level for the correct running of the business.

Processes automation: Automating routine laboratory tasks to increase efficiency and reduce errors, such as interfacing with analysers or other measurement devices, generating automatic search rules, handling rules or alerts.

Quality control: Enable recording of controls, reference samples or equipment calibrations for the creation of trend graphs where the measurements and deviations of the measurements can be displayed, as well as the verification of the method by means of duplicated samples.

Inventory management: Monitoring and managing the inventory of reagents, equipment and other laboratory resources with real-time inventory automation.

Regulatory compliance: Helping laboratories comply with industry-specific regulations and quality standards, such as ISO 17025, ISO 9001, GLP, GMP or other similar standards specific to each country, including tools to review processes traceability, incidents management (non-conformities, corrective actions, Warning values…) or document management.

Reports and analysis: Generating detailed reports and enabling data analysis to improve decision making. It is recommended that these reports can be automatically sent to the destination without a manual sending process.

Integration with the laboratory ecosystem: Providing tools for the customer through web portals to access laboratory samples, connect to other information or management systems such as: other laboratory information systems (LIS or LIMS), hospital information systems (HIS), production control systems, enterprise resource planning systems (ERP), document managers, customer relationship management systems (CRM), business management systems or even public government systems.

Definition of LIS

A LIS System (Laboratory Information System) is a software designed and developed for the healthcare sector that helps to automate and optimise clinical laboratories.

From sample registration to results reporting, LIS systems allow tasks to be automated and managed.

The main purpose of an LIS is to improve efficiency, ensure accuracy and traceability of clinical laboratory data. An LIS is suitable for different types of laboratories, such as hospitals, clinical analysis laboratories, genetic laboratories, pathology laboratories, toxicology laboratories and veterinary laboratories. A LIS has a patient-based workflow.

The main features or core components of a LIS may include:

Samples management: Track, trace and manage the patient’s samples flow from reception, analysis and reporting through traceability to storage or disposal.

Data management: Structured recording of searchable and usable data, whether analytical or statistical. Enables decisions to be made at analytical and management level for the correct running of the business.

Processes automation: Automating routine laboratory tasks to increase efficiency and reduce errors, such as interfacing with analysers, generating automatic search rules, handling rules and alerts.

Quality control: Enable recording of quality controls in order to display trend graphs.

Inventory management: Monitoring and managing the inventory of reagents, equipment and other laboratory resources.

Regulatory compliance: Helping laboratories comply with clinical sector-specific regulations and standards, such as ISO 15189, ISO 9001, HIPAA, RGPD or similar country-specific standards.

Reports and analysis: Generating detailed reports and enabling