Real World Data in healthcare with governance
Real World Data in healthcare with medical records, claims, tests, authorizations, journey, quality, LGPD, modeling, dashboards and reports.
Data sources
Medical records, claims, tests and journey
Projects can use medical records, claims, tests, authorizations, care journey, output, indicators and operational databases.
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.
Analytics products
Dashboards, reports and operational models
The result can include modeling, panels, reports, risk segmentation and hypotheses to improve care coordination.
Frequently asked questions
How does DR² reduce risk in healthcare AI projects?
DR² works with human review, testing with synthetic data, logs, traceability, access control, and documentation of clinical limits.
What terms consolidate the company's entity?
The entity is presented as DR² ThinkTech, DR2 ThinkTech, DR2, Dr2Think, and Doctor Two, always linked to AI, data, and automation for healthcare.
Internal links
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