Laboratory information processing refers to management of data generated during various stages of laboratory operations like sample receiving, testing, analysis and reporting. With exponential growth in data due to advanced diagnostic platforms and assays, traditional manual methods are unable to efficiently handle large volumes of complex data. Laboratory information processing solutions help in standardizing processes, integrating disparate systems and deriving meaningful insights from data.

Laboratory Information Management System (LIMS)

A Laboratory Informatics Management System or LIMS is a software that facilitates management of data during various phases of testing like sample receipt, storage, tracking samples and associated tests, managing instruments, recording analytical results and generating reports. A LIMS maintains audit trails, ensures regulatory compliance and supports data-driven decision making. Key capabilities of a LIMS include sample check-in/tracking, test ordering, result tracking, quality control and assay design.

Electronic Laboratory Notebooks (ELN)

An Electronic Laboratory Notebook (ELN) is a cloud-based system that enables capturing, recording, organizing and sharing experiment data electronically. Unlike paper notebooks, an ELN streamlines documentation, facilitates collaboration and supports regulatory compliance. Researchers can log protocols, record observations, track results and share data securely in real-time. ELNs integrate with other systems for sample and inventory management as well as reporting.

Laboratory Execution Systems (LES)

A Laboratory Execution System automates workflow and streamlines operations within a laboratory. An LES coordinates analytical instruments, robots, automated storage and retrieval systems. It schedules tests, tracks samples, ensures quality control and maintains compliance. An LES digitizes processes, boosts throughput, eliminates manual errors and produces consistent high-quality results through automation.

Chromatography Data Systems (CDS)

Chromatography Data Systems are specialized software solutions for managing instrument data generated during chromatographic analysis techniques like HPLC, GC etc. A CDS allows acquisition, processing, reviewing, analyzing and storing huge volumes of chromatographic data. It facilitates quantitative analysis and reporting. A CDS maintains compliance with FDA 21 CFR Part 11 requirements and supports digital workflows for improved productivity.

Laboratory Data Management Systems (LDMS)

A Laboratory Data Management System consolidates data silos across LIMS, CDS, ELNs and other systems to provide a single unified view of laboratory data. An LDMS addresses challenges of disparate data formats and provides analytics tools for extracting insights. It incorporates scientific data management best practices to securely store, index, search and retrieve large volumes of complex experimental and analytical data.

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