We provide longitudinal patient-level data that gives teams greater confidence in treatment dynamics, unmet need and decision priorities.
Programmes can include priority HCP groups, treatment settings or institutions and apply a consistent approach across countries.
Tudor’s HCP-led approach can be applied across disease areas, specialties, care settings and markets, subject to feasibility.
Capture detailed patient histories and ongoing management in rare and very uncommon conditions.
Use targeted sampling and HCP engagement to bring priority patient groups into clearer view.
Understand complex diagnostic and treatment pathways, including disease stage, sequencing, switching and progression.
Apply the same patient-level approach across common and specialist conditions.
We apply structured checks across recruitment, patient capture, sample change and output interpretation so clients have confidence in how they can use the data.
No direct patient identifiers are captured. Identifiers used for follow-up are held only by the participating HCP.
Experienced researchers maintain oversight of study design, clinical relevance, data quality and interpretation.
AI supports programme setup and quality checks under human oversight. Patient and client data are not used to train external AI models.