Why This Matters
Sickle cell programs collect enormous amounts of clinical data, but most of it sits in unanalyzed registers and databases. Clinicians lack the tools to identify which patients are deteriorating, which treatments are working, or how their facility compares to regional benchmarks. Without analytics, programs cannot measure whether hydroxyurea is reducing crisis frequency, which genotypes have the worst outcomes, or whether pediatric growth trajectories are improving. Decision-making remains intuition-based rather than data-driven, and opportunities to intervene early are consistently missed.
How Tracka Solves This
A systematic approach to transform challenges into measurable outcomes.
Aggregate Clinical Data
Tracka automatically aggregates data across all 8 clinical domains from every facility in your network, creating a unified analytical dataset updated in real time.
Apply Pre-Built Reports
Choose from 150+ report templates covering crisis frequency, medication adherence, transfusion utilization, growth metrics, and more — no custom queries needed.
Stratify by Key Variables
Slice any report by genotype, age group, gender, facility, region, or time period. Instantly compare SS vs SC outcomes or one facility against another.
Identify Outliers & Trends
Automated trend detection highlights patients with increasing crisis frequency, declining growth velocity, or medication non-adherence before they become emergencies.
Benchmark Performance
Compare your facility or program against regional and national averages. Identify best practices from top-performing sites and replicate them.
Export & Share
Download reports in PDF, CSV, or JSON. Share anonymized analytics with stakeholders, donors, or research collaborators through the API.
Built-In Tools for This Use Case
Every capability is purpose-built for sickle cell disease workflows.
150+ Report Templates
Pre-built analytics covering every clinical domain from crisis patterns to growth trajectories — ready to use from day one.
Crisis Trend Analysis
Track vaso-occlusive crisis frequency, severity, and triggers over time. Identify seasonal patterns and environmental correlations.
HU Response Tracking
Monitor hydroxyurea effectiveness by correlating dosing data with crisis frequency, hemoglobin levels, and hospitalization rates.
Genotype Comparisons
Compare clinical outcomes across all 9 hemoglobin genotypes with statistical significance testing and confidence intervals.
Growth Velocity Analytics
Track pediatric growth against SCD-specific and international standard percentile charts. Flag children falling behind expected trajectories.
Complication Dashboards
Monitor rates of stroke, acute chest syndrome, splenic sequestration, and organ damage across your patient population.
Report Templates
Clinical Domains
Data Points Analyzed
Genotypes Compared