DR2 ThinkTech

Real data

Real World Data in healthcare with governance

Real health data can guide decisions, but it requires quality, purpose, privacy, modeling and critical reading.

Real World Data in healthcare with medical records, claims, tests, authorizations, journey, quality, LGPD, modeling, dashboards and reports.

Request a Real World Data project
01

Data sources

Medical records, claims, tests and journey

Projects can use medical records, claims, tests, authorizations, care journey, output, indicators and operational databases.

02

Limitations

Real data is not automatically strong evidence

Quality, bias, completeness, origin, purpose, granularity and limitations need to be assessed before generating a report or model.

03

Analytics products

Dashboards, reports and operational models

The result can include modeling, panels, reports, risk segmentation and hypotheses to improve care coordination.

Continue with these topics

Innovation & Intelligence

Strategic intelligence for healthcare. From complexity to clarity.

For workflows with sensitive data, we apply minimization and de-identification before any processing by language models, under double data anonymization. We use AI providers via the OpenAI and Google Gemini APIs under enterprise terms, with ZDR (Zero Data Retention) and BAA (Business Associate Agreement) enabled for eligible endpoints.

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AI with clinical responsibility · B2B-only model