SENAITE is an advanced, open-source laboratory information system tailored to meet the complex needs of labs across various industries. It helps labs enhance productivity by automating repetitive tasks, integrating with lab equipment, and improving data accuracy and compliance. Built on the robust Plone CMS, SENAITE is designed for reliability, scalability, and security, ensuring labs operate efficiently today and adapt to future needs.
Key Features of SENAITE
- Performance: Automates repetitive tasks to increase lab efficiency.
- Process Automation: Customizable workflows guide users through analytical processes, with easy data registration, automatic result import, and data validation.
- Equipment Integration: Integrates seamlessly with lab instruments, importing data directly to eliminate manual errors.
- Turnaround Time: Enables faster report delivery with priority setting, scheduling, and tracking of delayed tests.
- Compliance: Designed for ISO/IEC 17025 compliance, with support for setup and validation.
- Audit and Traceability: Tracks all changes with snapshots, logging user, IP, and timestamps for each modification.
- Data Insights: Provides dashboards for monitoring lab performance across multiple timeframes and can connect to business intelligence tools.
- Industrial Strength Security: Built on Plone, ensuring top-level security for sensitive lab data.
- Reliable Architecture: Runs on Linux servers, supporting high availability, load balancing, and virtualized environments.
- Centralized System: Operates through web browsers, reducing hardware needs and improving information flow.
- Open Source Benefits: Lowers total cost of ownership, shifting costs from licensing to customization and support.
Additional Features of SENAITE
Security Policies: Defines roles and permissions, including lab clerks, analysts, managers, and inspectors.
Samples Management: Centralized management of samples, supporting custom IDs, priorities, and various sample types.
Worksheets: Organize and plan lab work, add quality control tests, and map analyses to instrument runs.
Batches: Group samples by project or client for easier tracking and batch result reporting.
Partitions and Aliquots: Create and manage partitions and aliquots with different types and containers, while maintaining their relationships.
Profiles and Templates: Use profiles for fast sample registration and templates for auto-partitioning on reception.
Instrument Management: Track instrument calibration, maintenance, and monitor quality control tests.
Audit Log: Logs all changes for easy inspection and traceability.
Analysis and Calculations: Custom calculations using parameters or results from other tests, with support for Python scripting.
