What this page helps you decide
Whether Clearline's managed approach, current workflow coverage, and implementation boundary match the change your lab is prepared to own.
Direct answer
A managed LIMS path for testing labs that need one connected working record.
Clearline LIMS connects sample intake, laboratory work, review, and reporting through a workflow configured with your team.
Managed by CTM. Capabilities, responsibilities, and validation work are confirmed in scope—not assumed from this page.
Safe first conversation
Share your lab type, current system, one bottleneck, desired output, and timing. Do not submit sample, client, patient, credential, report, or other regulated or sensitive data through the fit form.
Sample to report
Follow one working record as responsibility changes hands.
The exact fields, lifecycle states, methods, permissions, and release rules are configured around the lab's approved process.
- 01
Register
Record the sample, requested work, client context, and identifiers.
- 02
Assign and run
Route laboratory work through configured queues and worksheets.
- 03
Enter and review
Record results and complete the lab's defined review steps.
- 04
Report
Prepare approved deliverables from reviewed records.
Practical fit
A fit starts with a bounded workflow and committed lab owners.
Clearline is a managed LIMS product for testing labs; it is not positioned as an environmental-lab specialization.
Signals of fit
Your records are split across spreadsheets, inboxes, templates, or a difficult legacy system; handoffs are unclear; and your team can participate in mapping and acceptance.
Probably not a fit
You need an instant self-serve download, an unscoped feature purchase, a guaranteed integration before discovery, or a rollout without lab participation.
Lab responsibilities
Name process owners, provide sanitized examples through an agreed channel, make configuration decisions, complete acceptance and training, and own quality-system and regulatory decisions.
CTM responsibilities
Document the agreed scope, configure the bounded workflow, coordinate acceptance and training, and state the operating, support, backup, update, and export responsibilities that apply.
Managed implementation
Make responsibilities explicit before rollout.
A fit check is discovery, not a promise that every requested feature, file, integration, timeline, or validation approach is supported.
- 01
Check fit
Name the lab, current system, one bottleneck, desired output, and decision timing.
- 02
Map and scope
Define workflow, roles, outputs, data movement, exceptions, and acceptance responsibilities.
- 03
Configure and accept
Configure the bounded path, train users, and run agreed checks with the lab.
- 04
Operate and support
Follow the written scope for hosting, backups, updates, support, and exports.
LIMS selection criteria
Turn the lab's real work into a requirements checklist.
For each requirement, record the owner, representative scenario, expected evidence, and whether it is standard, configured, or must be scoped in implementation.
Standard
Product foundationFollow the core record
Evaluate sample records and status, worksheets and review steps, and role-based workflow against your intake-to-report path.
Name decisions and exceptions
List who registers, assigns, enters, reviews, corrects, and releases work—and what happens when the normal path fails.
Configured
Lab-specific operationDefine fields and outputs
Confirm required fields, lifecycle states, roles, reports, deliverables, and any client-facing access for the lab's approved process.
Require acceptance evidence
Use sanitized representative cases to inspect expected outputs, permissions, corrections, exception paths, and approvals.
Scoped in implementation
Dependencies and deliveryInventory external boundaries
Identify instruments, file formats, APIs, historical records, downstream systems, and migration needs before assuming an interface or transfer.
Assign delivery ownership
Name who maps the workflow, prepares data, configures, tests, accepts, trains, supports, and maintains validation evidence.
Workflow evidence to inspect
Evaluate a LIMS with representative work, not a feature list alone.
Use the documentation to prepare scenarios, then ask for evidence against the proposed configuration and written scope. Documentation describes current patterns; it does not promise every option for every lab.
Intake and identity
Inspect the fields, setup dependencies, and downstream checks in sample registration.
Assignment and bench work
Compare your batching, assignment, and review handoffs with the worksheets and batches workflow.
Instrument result movement
Review the format-sensitive boundaries for instrument imports and exports. CTM also offers separately scoped integration services.
Review and correction
Test normal work and exception paths against review, verification, and publication.
Reports and deliverables
Inspect readiness, template, permission, and output checks in report and COA generation.
Portable outputs
Identify the records, filters, permissions, and configured formats covered by data and report exports.
Data portability and migration
Ask how data enters, leaves, and remains understandable.
A screen export, a recurring integration, a full historical extraction, and a system migration are different jobs. Confirm each one separately.
What must move?
Inventory records, identifiers, relationships, attachments, reports, configuration, and history. Decide what must migrate, what can remain archived, and what evidence must be retained.
In which usable form?
Ask which standard or configured formats apply, which fields and relationships they preserve, who can request them, and how a future bulk export would be planned.
How will migration be proven?
Define mapping decisions, trial loads, record counts, field-level checks, rejected rows, report comparisons, cutover ownership, and reconciliation before accepting migrated data.
Where does separate service work begin?
Historical migration and legacy-system decisions require discovery and written scope. See CTM's legacy LIMS stabilization service when the decision may be stabilize, upgrade, or migrate.
Support and administration ownership
Name the operating owner before choosing the system.
Support is not one undivided responsibility. The operating agreement should state who owns access, configuration, incidents, training, backups, updates, exports, validation maintenance, and vendor coordination.
The lab owns its process
The lab names process and quality owners, approves workflow and configuration decisions, accepts changes, trains for its procedures, and retains regulatory judgment.
CTM owns the agreed managed scope
CTM documents the implementation and operating boundary, then performs the configuration, support, hosting, backup, update, and export responsibilities included in that written scope.
Plan change ownership
Decide who can request and approve user access, fields, workflows, reports, interfaces, and other changes—and how each change is tested and handed back.
Choose help that matches the gap
Use CTM's managed LIMS service for ongoing administration and lab informatics service when the immediate need is workflow mapping or independent requirements work.
Current limitations
Confirm the boundary instead of inferring capability.
Documentation and a fit check support evaluation; neither substitutes for a written implementation scope.
Integrations and imports
Feasibility depends on actual formats, identifiers, mappings, quality checks, exception handling, and validation needs.
Configuration varies
Product examples do not promise a tenant-specific field, state, report, role, instrument, or client-access configuration.
No outcome guarantee
Clearline does not by itself make a laboratory compliant or replace procedures, training, validation, quality oversight, or regulatory judgment.
Scope controls delivery
Pricing, timeline, service levels, data migration, hosting, integrations, and support terms are not asserted on this page and must be agreed separately.
Frequently asked questions
Buyer questions, answered within the current product boundary.
It needs to connect the lab's approved path from sample registration and assigned work through result entry, review, and reporting. Exact fields, states, methods, roles, and outputs remain lab-specific.
Start with the lab's sample types, intake fields, work assignment, methods, result entry, review and correction paths, QC decisions, reports, exports, roles, and exceptions. Then classify each requirement as standard, configured, or scoped in implementation and name the evidence that will prove it.
Clearline is a practical fit for a testing lab that wants one connected working record, can name a bounded workflow to improve, and wants CTM to manage implementation and ongoing responsibilities.
It is probably not a fit for a lab seeking an instant self-serve download, an unscoped feature purchase, or a rollout without lab participation in workflow mapping, acceptance checks, training, and validation decisions.
CTM and the lab agree a bounded scope for workflow mapping, configuration, acceptance checks, training, rollout, hosting, support, backups, updates, and exports. The written scope controls what is included.
Ask which records and attachments must move, what may remain archived, which export formats are available or need configuration, how identifiers and relationships will be mapped, and how trial results will be reconciled. Historical migration and bulk export are planned and scoped; they are not implied by a standard screen export.
The written operating scope should name owners for user access, configuration changes, support triage, training, backups, updates, exports, validation maintenance, and vendor coordination. Clearline is managed by CTM, while the lab retains its process, quality-system, and regulatory decisions.
Potentially. CTM first assesses file formats, identifiers, methods, mappings, quality checks, exception handling, and validation needs before confirming feasibility or scope.
No. Clearline can support traceable records, configured review steps, and validation activities. The laboratory remains responsible for procedures, training, its quality system, validation decisions, and regulatory obligations.
A bounded next step
Check whether Clearline fits one workflow.
Last reviewed: September 3, 2026
Share the lab type, current system, one bottleneck, desired output, and timing. Do not include regulated, client-sensitive, patient, credential, report, or production data. The fit check can end with a fit, a non-fit, or a recommendation to define requirements first.
Start a safe fit check