Healthcare · LIOUS project
LIOUS LIMS — ECHS UP
Laboratory Information Management System
A laboratory information management platform connecting patient registration, barcode-based sample tracking, compatible analyser integration, result validation and diagnostic reporting through a centralised workflow.

Project scope
- Healthcare Software
- Laboratory Automation
- Equipment Integration
The challenge
Laboratories need a connected process for patient and sample information, equipment results, validation and final reporting. Manual handoffs make records harder to track and introduce repeated data entry.
- Track samples from registration through investigation.
- Connect compatible analysers with central result management.
- Coordinate result review and report delivery across laboratory teams.
What we built
LIOUS LIMS brings laboratory operations into a structured platform with role-based access, configurable reporting and support for multi-location management.
- Patient registration, unique sample identification and barcode-based tracking.
- Compatible analyser integration using HL7, ASTM or serial interfaces.
- Multi-level result verification, correction history and activity records.
- Configurable reports with supported print, email and WhatsApp delivery.
- Operational dashboards for pending investigations, test activity and workload.
- Inventory, equipment records and centralised multi-location administration.
- On-premise deployment options for organisational control over infrastructure.
How it works
- 01
Register
Create the patient and test request records.
- 02
Collect and track
Identify samples and monitor their progress.
- 03
Process
Acquire test results from compatible connected analysers.
- 04
Validate
Review and approve results through authorised workflows.
- 05
Report
Generate and deliver the diagnostic report.
Analyser integration depends on the model, supported interface, configuration and vendor specifications.
Operational value
Designed to reduce repeated manual entry, organise laboratory records and provide clearer visibility from sample collection to report delivery.
