A laboratory information management system can have a long list of features, but laboratory teams usually need a simpler answer: What does a LIMS actually do during everyday laboratory work?
The main functions of a Laboratory Information Management System (LIMS) are to register and track samples, organize testing requirements, manage results, connect laboratory instruments and data, support quality processes, route work through reviews and approvals, maintain traceable records, and prepare laboratory reports.
These functions work together to help laboratories manage information from sample receipt through final reporting. In practical terms, a LIMS gives laboratory teams one structured environment for answering questions such as:
What samples are in the lab? What testing is required? What work is still pending? Which method applies? Where are the results? Who reviewed them? What needs approval? And which report is ready to be issued?
If you are starting with the fundamentals, our guide to what a Laboratory Information Management System is explains the concept and purpose of LIMS in more detail.
What Is the Main Function of a LIMS?
There is no single function that defines every LIMS. Laboratories differ too much in their samples, methods, industries, quality systems and reporting requirements for that. The broader function of a LIMS is to connect laboratory information with laboratory work.
A sample is not just an ID. It may be connected to a customer or project, several tests, approved methods, instruments, analysts, results, quality records, reviews, approvals and reports.
If those relationships are managed through spreadsheets, paper records, shared folders, and separate software, staff often spend significant time locating information and determining which record is current. A LIMS provides a structured way to maintain those relationships.
NIST describes LIMS as providing a framework for managing laboratory data across the research lifecycle. Its LIMS roadmap groups functions into areas such as sample tracking, scheduling, data acquisition, instrument control, data transfer, storage, processing, access, metrics, and reporting. NIST: A Roadmap for LIMS at the Material Measurement Laboratory
The exact implementation varies, but the principle is consistent: laboratory information becomes more useful when it remains connected to the work that created it.
1. Registering and Identifying Laboratory Samples
One of the first LIMS functions begins when a sample enters the laboratory. The laboratory needs to establish exactly what was received and create a record that can follow the material throughout its lifecycle.
During registration or accessioning, a LIMS may record information such as the sample description, source, sample type, customer or project, received date, batch or lot, priority and requested testing.
A unique sample ID can then be assigned. Laboratories may also use barcode or QR-code labels so the physical sample can be matched with the correct electronic record. From that point, the system can maintain a consistent identity while the sample moves through preparation, testing, storage, review and eventual retention or disposal.
LabZila's sample management software is designed around this type of sample lifecycle, including registration, identification, status tracking, storage, chain of custody and disposition.
Why does this matter?
A laboratory can perform technically correct testing and still have a serious operational problem if it cannot reliably connect a result to the correct sample. Sample identification is therefore not simply an administrative function. It provides the foundation on which many later LIMS functions depend.
2. Tracking Sample Status and Location
Registering a sample tells the laboratory that it exists. Tracking tells the team what is happening to it now.
A LIMS can maintain status information as a sample progresses through the laboratory. Depending on the workflow, a record may show that the sample is received, awaiting preparation, in testing, awaiting review, approved, stored or complete.
Location information can also be important. Samples may move between receiving areas, preparation rooms, instruments, refrigerators, freezers, stability chambers or long-term storage locations.
When staff depend on memory or separate logs to locate samples, delays become more likely as volume increases. A LIMS provides authorized users with a central place to check the current record instead of asking multiple people or searching through separate tracking sheets.
This function becomes even more important when aliquots or sub-samples are created, because the system may need to preserve the relationship between the original sample and the materials derived from it.
3. Managing Tests, Methods and Specifications
After a sample has been registered, the laboratory needs to define what work must be performed. This is where test and method management becomes important.
A LIMS can associate samples with required tests and connect those tests with information such as approved methods, units, calculations, specifications, acceptance limits or other applicable testing instructions.
This prevents the laboratory from treating every test as an isolated activity. For example, a result has little meaning if a reviewer cannot determine which method produced it or which specification applied at the time.
Maintaining these relationships helps laboratory teams work from a more consistent structure. Method management can also become important when procedures change. Historical records should retain the relevant context so users can understand what applied when earlier work was performed.
4. Assigning and Scheduling Laboratory Work
Laboratory work needs owners. Once testing requirements are known, teams need to determine who will perform the work, when it is due and where it sits within the laboratory's current workload.
A LIMS can support task assignment and scheduling by making pending work visible to analysts, supervisors and managers. Depending on configuration, work may be associated with particular users, roles, departments, instruments, priorities or due dates.
An analyst may see the tests assigned to them for the day. A supervisor may see which work remains unassigned. A laboratory manager may see where a growing backlog is developing.
The software does not determine whether a person is technically competent to perform a laboratory activity. Qualification, authorization and training remain laboratory responsibilities. The LIMS provides the mechanism for applying those responsibilities through a defined workflow.
5. Capturing Laboratory Results
A central LIMS function is maintaining the data generated during testing. Results may reach the system in different ways. An analyst may enter a result manually. The system may calculate a value from entered observations.
In other workflows, compatible laboratory instruments may transfer information electronically. Regardless of how a result enters the system, it should remain connected to its laboratory context.
That context may include the sample, test, method, analyst, instrument, unit, specification, date, calculations and review status. This is much more useful than maintaining a final result in an isolated spreadsheet cell. Consider a number such as 23.7. Without the surrounding record, you may not know:
What was measured?Which sample was tested?Which method was followed?What unit applies?Which instrument generated it?Has anybody reviewed it?Does it meet the applicable specification?
Laboratory information management is largely about preserving that context.
6. Connecting Laboratory Instruments and Other Systems
Modern laboratories generate significant amounts of information through instruments and external applications. A LIMS can therefore function as part of a broader laboratory data environment rather than operating as an isolated application.
Where compatible interfaces exist, instruments may send results or other supported information into the LIMS. This can reduce repetitive manual transcription and keep instrument-generated data connected with the correct sample and test record.
Laboratories may also need the LIMS to exchange data with other systems such as ERP platforms, ELNs, clinical systems or business applications.
LabZila's LIMS integrations are designed around connections with compatible instruments and external systems using supported interfaces, APIs, middleware and structured data formats. Integration feasibility depends on the equipment, available communication method, data structure and required workflow.
The EPA likewise describes LIMS as being used to manage and track samples, instruments and standards, as well as functions such as data transfer and reporting. Its guidance describes connected laboratory environments where instrument data can return to a centralized repository and personnel can review calculations, documentation and results. U.S. EPA: Laboratory Information Management Systems Guidance
Instrument integration is not just about eliminating typing
The objective is not simply to move a number automatically. The transferred information still needs to reach the correct sample, test and workflow. A technically successful connection that cannot reliably maintain those relationships does not solve the laboratory's broader information-management problem.
7. Supporting Laboratory Quality Control
Laboratories also use LIMS to organize information needed during routine quality-control activities. Depending on the laboratory, this may include control samples, blanks, duplicates, spikes, reference materials, specifications, limits or result trends.
Keeping QC information connected with analytical results can make technical review more efficient because users do not have to reconstruct the context from separate worksheets. A LIMS may also provide charts or other views that help qualified personnel identify patterns or results requiring further attention.
The distinction here is important: the software can organize data and make exceptions visible, but laboratory personnel remain responsible for interpreting the scientific significance of those results.
8. Managing Broader Laboratory Quality Processes
Quality control is only one part of a laboratory's broader quality system. Laboratories may also need to manage deviations, corrective and preventive actions, document control, training, audits and other quality events.
These processes become much more useful when they remain connected to operational laboratory records. For example, if a deviation relates to a particular sample, result or instrument, users should ideally be able to understand those relationships without searching several unrelated systems.
LabZila's laboratory QMS software focuses on connecting deviations, CAPAs, documents, training, audit activities and supporting records through structured quality workflows. The current LabZila content architecture deliberately distinguishes QMS functions from laboratory QC rather than treating them as the same activity.
This separation is useful because a control result requiring attention and a formal CAPA process serve different purposes even though they may eventually become related.
9. Routing Work Through Reviews and Approvals
Entering a result does not necessarily mean laboratory work is complete. Many workflows require technical review, quality review, authorization or another defined approval before information can be released.
A LIMS can route records through these stages. For example, when an analyst completes a test, the record can move into a review queue. If the reviewer identifies missing information, the work can be returned.
If acceptable, it can proceed toward final approval or reporting. This reduces reliance on informal reminders and email chains.
LabZila's laboratory workflow automation software supports configured assignments, notifications, status updates, review routing and escalations while maintaining a traceable execution history.
The purpose of automation here is not to remove technical oversight. It is to make sure the right record reaches the right person at the right stage of the process.
10. Maintaining Traceable Record Histories
Another important LIMS function is preserving the history surrounding laboratory activity. As several people interact with a record, laboratories may need to know who performed particular actions and when they occurred.
Depending on system configuration and requirements, traceable histories can include entries, status changes, reviews, approvals, comments and corrections.
This provides valuable context when teams need to understand what happened during previous work. Traceability also helps laboratories investigate operational problems.
If a report contains an unexpected result, users may need to work backward through the record to understand the underlying sample, test, method, instrument and review history. A connected LIMS makes that reconstruction considerably easier than searching through unrelated files.
11. Generating Laboratory Reports and Certificates of Analysis
Laboratory information eventually needs to leave the operational workflow in a usable form. Depending on the laboratory, the final deliverable may be a test report, Certificate of Analysis, client report or internal quality document.
Reporting is therefore another major LIMS function. Rather than manually copying approved results into separate documents, a LIMS can use laboratory records to populate controlled reporting templates.
For a Certificate of Analysis, that information may include sample or product details, methods, specifications and approved results. LabZila's Certificate of Analysis software connects approved laboratory information with configurable certificate templates, review workflows and controlled issuance.
The reporting function is particularly useful because it demonstrates how dependent each LIMS function is on earlier work. A reliable report depends on reliable sample identification. It depends on the correct test and method information.
It depends on results being captured accurately. And it depends on the required review and approval having taken place. Reporting therefore sits near the end of a much larger connected workflow.
12. Managing Inventory, Reagents and Consumables
Testing also depends on the materials required to perform it. Some LIMS platforms include functionality for tracking reagents, standards, consumables and other laboratory inventory.
Teams may need information such as item identity, supplier, lot number, received date, quantity, storage location and expiration date.
Visibility into inventory can help laboratories identify shortages or upcoming expirations before they interrupt scheduled work. It can also provide additional context when materials are connected with laboratory processes.
The level of inventory functionality required will depend heavily on the laboratory. A small operation may have relatively simple requirements, while a high-volume or regulated laboratory may need more structured lot and material tracking.
13. Managing Laboratory Instruments and Calibration Records
Laboratory equipment itself also requires management. A LIMS can maintain a central equipment registry containing information such as instrument identity, manufacturer, model, serial number, location and operational status.
Depending on the system, teams may also manage calibration schedules, maintenance activities and supporting records.
This allows laboratory personnel to understand whether equipment is available and what activities are approaching.
Connecting equipment records with laboratory testing can also provide additional traceability by showing which instruments were associated with specific work. This becomes particularly important in laboratories where testing depends on maintaining documented equipment controls.
14. Providing Operational Visibility to Laboratory Managers
LIMS is not used only by analysts performing tests. Supervisors and laboratory managers need a broader view of operations. A LIMS can help them answer questions such as:
Which samples are still pending?
Which tests are overdue?
Where is work accumulating?
Which results are awaiting review?
Are there unresolved quality events?
Which instruments have upcoming activities?
How is turnaround time changing?
This type of visibility can help managers identify bottlenecks earlier. Rather than asking each department for a spreadsheet and combining the results manually, managers can work from data already connected to laboratory workflows.
That does not mean every metric automatically explains why something happened. Operational data still requires interpretation. But a centralized view gives laboratory leaders a better starting point for asking the right questions.
15. Controlling User Access and Responsibilities
Different people need access to different information and functions. An analyst may need permission to work with assigned tests and enter results. A reviewer may need authority to review records. A quality manager may need access to quality processes.
An administrator may need broader system-configuration permissions. User, role and permission management allows a LIMS to reflect these differences.
This supports appropriate separation of responsibilities and helps protect laboratory data from unauthorized actions. Software controls alone are not enough, however. Laboratories still need appropriate procedures, user administration, training and periodic access review.
16. Keeping Laboratory Information Searchable and Available
Another practical LIMS function is simply making information easier to retrieve. As laboratories generate more records, finding historical information can become surprisingly difficult.
A team may need to locate all information associated with a particular sample, project, batch, test or client. A centralized system can make those relationships searchable instead of requiring someone to remember which folder, workbook or email contains the relevant record.
That availability is especially useful when laboratories need to investigate previous activity, respond to customer questions, prepare for internal reviews or understand recurring operational issues.
What Does a LIMS Do for Different Laboratory Roles?
Different users experience the same LIMS differently.
- Laboratory Technicians and Analysts
For analysts, the system is primarily a working environment. They may use it to see assigned work, access sample information, confirm methods, enter results, view required specifications and send completed work forward for review. The value is practical: less time spent searching for instructions or updating separate tracking files.
- Laboratory Supervisors
Supervisors need visibility across multiple analysts and workflows. They may use LIMS to review workload, assign tasks, check sample status, identify delays and manage records awaiting review.
- Quality Managers
Quality teams are interested in traceability, quality events, controlled reviews, QC information and the evidence surrounding laboratory decisions. Connected quality and operational records can reduce the effort required to reconstruct an event.
- Laboratory Managers and Directors
Laboratory leaders usually need the highest-level operational view. They may focus on throughput, turnaround time, open work, bottlenecks, reporting status and whether the current processes can support growing laboratory demand.
- IT and Laboratory Informatics Teams
Technical teams focus more on configuration, integrations, permissions, data exchange, deployment, system support and long-term administration.
This is why the same LIMS cannot be evaluated solely from the analyst's perspective or solely from an IT checklist. It must support the relationships between all of these users.
How Do LIMS Functions Work Together During a Normal Day?
Consider a laboratory receiving a sample in the morning. The sample-management function creates the laboratory record. The test-management function determines which work is required. The workflow function makes the required activity visible to the appropriate analyst.
The analyst performs testing, and the data-management function captures the results. Where supported, the integration function transfers information from compatible instruments. The QC function provides applicable quality information for review.
If an issue requires formal action, the quality-management function connects the relevant quality record. The review and approval workflow sends completed work to the appropriate authorized personnel.
Finally, the reporting function uses approved information to prepare the laboratory deliverable. These are different functions, but there should still be one connected history. Our previous guide explaining how a Laboratory Information Management System works follows this sample-to-report process in greater detail.
What Should a LIMS Not Be Expected to Do Automatically?
Understanding LIMS functions also means understanding their limits. A LIMS cannot automatically make every laboratory process correct. It cannot decide whether an unsuitable procedure should remain part of the workflow.
It does not replace qualified scientific judgment. It cannot make an organization compliant simply because certain controls exist in the software. And it cannot compensate for poor data, unclear responsibilities or weak implementation practices.
The system provides infrastructure for controlling and connecting laboratory work. Laboratories remain responsible for designing appropriate processes, defining roles, validating applicable systems, training personnel and making scientific and quality decisions. This distinction is particularly important when evaluating regulated laboratory software.
How Can You Tell Which LIMS Functions Your Laboratory Needs?
Do not begin by asking vendors for the longest possible feature list. Start with the laboratory. Follow a sample from the moment it arrives until the work is complete.
Ask where information is entered, who needs it, where duplicate entry occurs, which decisions require review, how equipment information is managed, where quality activities begin, and how the final report is produced.
Then identify the problems. Perhaps samples are difficult to locate. Maybe analysts repeatedly enter the same data. Approvals may remain buried in email. Reports might require manual copying. Instrument files may be disconnected from sample records.
Managers may have no easy way to understand pending work. Those problems reveal the LIMS functions that matter most. The goal is not to purchase every available capability. It is to build a system that reflects how the laboratory actually operates.
Functions Matter More When They Are Connected
A laboratory information management system can perform many tasks, but the most important capability is often the connection between those tasks. Sample tracking without testing information is incomplete. Testing without result context is incomplete.
Results without review are incomplete. Quality records without connections to the underlying laboratory event are harder to investigate. Reports without traceability back to approved data create additional risk and administrative work.
The purpose of LIMS is therefore not to create another collection of digital tools. It is to connect laboratory information through the workflow. That is the difference between simply digitizing individual activities and actually managing laboratory information.
Final Thoughts
The functions of a laboratory information management system cover much more than storing test results. A modern LIMS can help laboratories register and track samples, assign tests, maintain methods and specifications, capture results, connect instruments, manage quality activities, route work through review and approval, control access, monitor operations and prepare final reports.
But laboratories should not evaluate those functions independently. The practical value comes from how well each function connects with the others. When a sample record can remain connected with its tests, methods, results, equipment, quality activities, approvals and final reports, teams gain a much clearer view of the laboratory workflow.
That is what laboratory information management is ultimately intended to accomplish. For laboratories evaluating where these functions fit into their own processes, the next step is to compare the system against the real work your laboratory performs each day rather than simply comparing feature counts.
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