Quality Assurance & Lab Information Management
The TAL has applied to the United Kingdom Accreditation Service (UKAS) to be accredited to ISO/IEC 17025:2017 in 2024.
QUALITY ASSURANCE AND MANAGEMENT
The TAL is committed to always providing a high-quality service that ensures the accuracy and reliability of all test results. The laboratory has a dedicated Quality Management System that covers all aspects of the laboratory operations. We are focused on fulfilling expectations and meeting regulatory requirements to standards set by the Human Tissue Authority (HTA), UKAS ISO 17025:2017, Good Clinical Laboratory Practice (GCLP), and GDPR.
To continuously improve, assess, and monitor our process performance, the laboratory uses Internal Quality Assurance indicators and regularly participates in External Quality Assurance schemes such as UK NEQAS.
Schemes selected are chosen based on their suitability to the laboratory’s needs. The laboratory participates in the following External Quality Assurance (EQA) schemes:
1. UKNEQAS LEUCOCYTE IMMUNOPHENOTYPING PROGRAMME
Flow Cytometry Programmes:
- Measurable Residual Disease for AML by Flow Cytometry
Molecular Haemato-oncology Programmes:
- FLT3 Mutation Status
- NPM1 Mutation Status
- Myeloid Gene Panels
- Measurable Residual Disease for AML by Molecular Methods
- BCR::ABL1 and AML Translocation Identification
2. GENQA EQA
- Measurement of DNA concentration
3. IBBL BIOSPECIMEN PROFICIENCY TESTING PROGRAMME
- Viable PBMC count
- DNA extraction from whole-blood
LABORATORY INFORMATION MANAGEMENT SYSTEM (LIMS)
The Laboratory Information Management System (LIMS) used at the TAL effectively manages the flow of samples, different assays, laboratory workflows, instruments and associated data to improve laboratory productivity. All of the laboratory’s processes are integrated within the LIMS to allow for sample and barcode tracking throughout the various workflows by linking sample data, results and storage, providing a full audit trail for each sample.
The LIMS software helps the laboratory staff by automating repetitive laboratory administration tasks and increases reliability by reducing the risk of errors occurring due to manual data input. It also ensures that all work meets regulatory requirements, sample traceability, and current best practices.