Temporal clinical reasoning
Longitudinal laboratory intelligence
A clinical data pipeline and interpretable reasoning layer for detecting meaningful changes across a patient's laboratory trajectory.
Laboratory results arrive from heterogeneous systems as isolated values. Clinicians need reliable trajectories connected to medication exposure and patient context.
Architected the ingestion model, normalization logic, incremental synchronization, validation, monitoring, and temporal reasoning layer.
Patient- and admission-level time series with idempotent upserts, batch processing, data-quality checks, and interpretable risk signals.
2M+ laboratory records spanning more than 50 biomarkers.
Source-level validation, explicit temporal alignment, reproducible transformations, and clinician-interpretable signal logic.
A foundation for earlier recognition of AKI, DILI, infection, and evolving clinical deterioration without hiding the underlying trajectory.
Next case study
Hospital-system integration