Fina
Fina™ is a fully automated tissue block traceability and archiving solution designed for anatomic pathology laboratories. The system automates the storage, tracking, retrieval, and management of paraffin tissue blocks, providing complete chain-of-custody documentation and precise location tracking. By eliminating manual filing processes and improving retrieval accuracy, Fina helps laboratories enhance patient safety, optimize workflow efficiency, and reduce the risk of misplaced or lost samples.
Description
Features
- Fully automated tissue block archiving and retrieval system
- Barcode-based tracking with complete chain-of-custody documentation
- Records the exact location of every block within trays, cabinets, and storage zones
- Batch scanning of hundreds of tissue blocks in minutes
- Automated database for block storage, retrieval, and audit trails
- PDA-guided retrieval process to ensure accurate block selection
- Flexible storage architecture with configurable archive locations
- Real-time block status monitoring and reporting
- Integration capabilities with laboratory information systems (LIS)
- Multi-level security controls and data backup protection
- Supports long-term block storage with precise traceability and inventory management
Benefits
- Eliminates the risk of misplaced or lost tissue blocks
- Improves patient safety through complete sample traceability
- Reduces time and labor associated with manual filing and retrieval
- Accelerates retrieval of blocks for additional testing, research, and clinical trials
- Improves workflow efficiency by reducing manual touchpoints and administrative tasks
- Enables faster case turnaround times through rapid block location and access
- Frees laboratory staff to focus on higher-value activities
- Increases archive organization and storage capacity
- Provides full visibility into who accessed a block, when, and why
- Reduces operational costs through automation and resource optimization
- Demonstrated time savings of up to 79–91% and significant reductions in manual workload in customer implementations