Introducing DataToCare Intelligence

From connected data to intelligent decisions.

Analytics PlusOperational intelligence

DataToCare Intelligence uses statistical AI to detect unusual trends, forecast laboratory activity, and turn complex diagnostic data into explainable insights for public-health programmes.

An automatic monthly AI brief for programme managers, run locally on in-country infrastructure so programme data stays in the country. Validated on years of real laboratory data for operational analysis.

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Explore the approach

Operational intelligence for selected TB/HIV laboratory indicators. Explore anomaly detection, activity forecasts and evidence briefs with the illustrative examples alongside.

Illustrative demonstration · synthetic data

Activity monitorHistorical comparison

When the pattern changes,
know where to look.

Completed tests · fictional laboratory network

Completed testsScale: 0–150
Illustrative anomaly in laboratory activitySynthetic monthly test counts: April 104, May 108, June 102, July 112, August 65, September 110. August falls below the illustrative historical band of 90 to 125 tests. This is not a real finding.
Historical rangeObserved activity

August falls outside the historical range.Check reporting coverage and operational context before interpreting the change.

A statistical signal is a starting point for review, not an explanation of its cause.

The result’s journey, extended

  1. Instrument
  2. Laboratory
  3. DataToCare Platform
  4. Aggregated data
  5. Intelligence
  6. Informed decisions

Result delivery continues independently. Intelligence provides a separate layer of analysis on authorized, aggregated data.

Privacy in scopeAuthorized aggregates, not individual patient records.

Evidence with limitsFindings need context, validation and uncertainty.

People decideOperational decision support, not autonomous clinical diagnosis.