Patient-level intelligence for Life Sciences

HCP-led patient-level data showing how patients are diagnosed, monitored, treated and followed over time.

Tudor Health combines detailed patient histories, a representative view of the population in scope and purpose-built dashboards to help life science teams make more confident decisions.

Many datasets provide scale but limited clinical context. Traditional chart audits can provide depth but are often treated as one-off snapshots.

Tudor Data closes this gap.

Our programmes are designed around the patient. They combine a representative view of a disease population, with a longitudinal understanding of each patient’s journey to date, from diagnosis and monitoring through treatment and current management.

Where deeper visibility is needed, targeted sampling brings rare, niche or priority patient groups into clearer view.

A Unique Approach to Patient Data

Tudor Health captures longitudinal patient-level data directly from HCPs using a unique proprietary method that is designed for use in all disease areas, all specialities, and all countries..

Patient-level data that shows both the market and the journey

Not Drawn from EMR Software

Our data capture is NOT drawn directly from EMR software. This allows us to capture data from institutions with any EMR technology. We establish a strong relationship with individual HCPs to capture data, not a technology link.

Same-patient Longitudinal Records

Our longitudinal data are captured by updating data on the same set of patients. This gives us the opportunity to gradually expand the extent of the data held on each patient, which gives us greater depth of analytical options.

Which patients matter most?

Identify the patient characteristics, treatment situations and care settings associated with treatment, non-treatment, switching or discontinuation.

Why are decisions made?

Understand how clinical need, disease stage, treatment burden, suitability, access, tolerability and perceived benefit shape patient management.

How do patient journeys change?

See how patients move through diagnosis, monitoring, treatment initiation, persistence, switching and discontinuation.

Where are the gaps?

Compare patient pathways, treatment behaviour and unmet needs across markets and priority patient groups.

Complex Sampling Techniques

We use complex sampling techniques to ensure that we have sufficient data on rare cohorts to give analytical reliability. By over-sampling rare cohorts we provide insights at a level that other sources find difficult.

Unique Multinational Model

The Tudor Health data model uses an identical data-capture method in all countries. This makes the data consistent within country and comparable across countries.

Improved coverage of patients from all types of institutions, including specific target institutions if required.

Coverage of patients in all countries and across all specialities.

The ability to have a data use agreement that is much broader – not limited to just research purposes.

Latest News & Insights

We explore a case study where patient-level EMR-equivalent data was collected from institutions that are…

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In this brief paper we outline two areas of PLD where the Tudor Health methods…

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    There has been increased discussion in the USA in the past week regarding…

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