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SmartDaas

Updated July 24, 2026

Overview / Description

SmartDaaS is an AI health-analytics tool that predicts HIV treatment-interruption risk from routine DHIS2 and EMR exports, without requiring new data collection or workflow changes. It is built for PEPFAR implementing partners across sub-Saharan Africa, letting clinical and program teams score which patients are most likely to interrupt treatment using data they already report. The model was trained on 27,288 real-world HIV patient records and reports a temporal AUC of 0.772 on held-out future patients, meaning it was tested on later cases rather than a random split. Every risk score comes with SHAP explainability, so users can see which factors drove a given prediction rather than getting an opaque number. On privacy, the tool stores no data and processes everything session-only, and the project reports validation across 192,732 records in six countries. SmartDaaS is open source and MIT licensed, which lets partner organizations inspect, adapt, and self-host it. It runs as a lightweight web app, so it is best suited to analysts and program staff who already work with DHIS2 or EMR exports rather than to individual clinicians at the point of care.

Used For

PEPFAR HIV program analysts use it to flag patients at risk of treatment interruption from routine DHIS2 and EMR data.

Pricing

Plan

Free

Open source (MIT licensed) — free to use and self-host

View pricing

Pros & Cons

Pros

  • Predicts HIV treatment-interruption risk from existing DHIS2 and EMR exports, no new data collection
  • SHAP explainability shows the factors behind every risk score
  • Session-only processing with no data stored
  • Trained on 27,288 records with a temporal AUC of 0.772 on held-out future patients
  • Open source under an MIT license, so partners can inspect and self-host it

Cons

  • Narrowly built for PEPFAR HIV programs in sub-Saharan Africa
  • Requires DHIS2 or EMR exports and analyst comfort, not a point-of-care clinician tool
  • Runs as a hosted demo app, so scale and support depend on the partner's own deployment

Questions & Answers

Alternatives

DHIS2, OpenMRS, Palladium analytics tooling

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