Feature Comparison
Tracka vs DHIS2: Side by Side
See how Tracka stacks up on the features that matter most for sickle cell disease programs.
| Feature | Tracka | DHIS2 |
|---|---|---|
| SCD-Specific Data Model | ||
| Patient-Level Tracking | Aggregate only | |
| Offline-First Mobile App | Limited offline | |
| 8 Clinical Data Domains | Custom forms | |
| Automatic Patient Deduplication | ||
| 9 Hemoglobin Genotype Tracking | ||
| Crisis Event Surveillance | ||
| Hydroxyurea Monitoring | ||
| 150+ Pre-Built SCD Reports | Generic reports | |
| Clinical-Grade Anonymization | Basic access control | |
| Enterprise Data API | $199/mo+ | Web API available |
| 6-Level Geo Hierarchy | Org unit hierarchy | |
| Setup Time | Days | Months |
| Cost | Subscription | Free (high implementation cost) |
Key Advantages
Why Teams Choose Tracka
Here's what you get with Tracka that DHIS2 simply can't deliver.
- Purpose-built data model for sickle cell disease — no custom form configuration or data dictionary setup required
- True patient-level tracking with deduplication, while DHIS2 focuses on aggregate facility-level reporting
- Offline-first architecture using Dexie local database — works for weeks without connectivity, unlike DHIS2 Android Capture
- Pre-built clinical workflows for all 8 SCD data domains — crisis events, hydroxyurea, transfusions, growth, and more
- Automatic patient deduplication across facilities using fingerprint hashing — prevents the double-counting that plagues DHIS2
- Crisis surveillance with automated anomaly detection — DHIS2 has no equivalent real-time alerting for disease events
- Production-ready in days, not the months of custom configuration that DHIS2 SCD implementations require
- Enterprise API for data monetization with tiered access — turning your SCD data into sustainable program funding
Migration Path
Switching from DHIS2 Is Easy
Our dedicated migration team handles the heavy lifting so you can focus on patient care.
1
Export your existing DHIS2 program data using the Web API or SQL views
2
Our migration team maps your custom data elements to Tracka clinical domains
3
Patient records are imported with automatic deduplication to merge duplicate entries
4
Geo hierarchy is mapped from DHIS2 org units to Tracka 6-level structure
5
Field agents are onboarded with mobile app training (typically 1-2 days)
6
Parallel operation period ensures data continuity before full cutover