Repeat management
Steer repeat testing precisely at every level — from an entire batch down to specific assays and targets, or a single sample. Mobiolink distinguishes purely analytical repeats from the same eluate from full pre-analytical re-runs, and offers a one-click comparison with raw data, dilution factors and KPI history.
Granular control and scope definition
In modern laboratories, a 'repeat' can mean many things. Mobiolink lets you trigger and manage re-testing at exactly the granularity your workflow requires.
- Batch-level: re-run an entire batch based on overall run KPI criteria.
- Assay and target-level: repeat all samples of a specific assay, or restrict the re-test to a single target within an assay.
- Sample-level: isolate individual samples for tailored re-processing.
Analytical vs. pre-analytical processing
Efficiency depends on knowing exactly where a failure occurred. Mobiolink differentiates the depth of the repeat workflow.
- Pure analytics (eluate repeat): save time and resources by repeating only the measurement step using the existing eluate.
- Full process (pre-analytics and analytics): trigger a complete re-run from the initial sample preparation and extraction phase when necessary.
Dilution and multi-measurement protocols
When repeating individual samples, Mobiolink adapts to complex clinical requirements.
- Auto-configure single repetitions or set up structured dilution sequences.
- Manage multi-measurement protocols (replicates) to ensure statistical confidence.
Reason-driven auditing
Every decision matters. When triggering a repeat test, operators can classify the root cause directly within Mobiolink.
- Technical reasons: instrument flags, failed internal controls or processing errors.
- Confirmation reasons: suspected contamination, borderline or grey-zone results, or clinical verification.
One-click comparative analytics
Stop digging through historical archives. Mobiolink automatically flags all related runs and provides a unified, side-by-side comparison matrix. With a single click, users can analyse:
- Raw data curves and final results across all iterations.
- Dilution factors and their impact on the calculation.
- Cross-batch KPI trends, to quickly tell systemic patterns from isolated sample issues.