Analysis-ready real-world data
Analysis-ready real-world data
Tailored to your research questions
Analysis-ready real-world data. Tailored to your research questions.
Century Health provides life sciences teams access to deep registry data from our data network built with community providers.
Century Health provides life sciences teams access to deep registry data from our data network built with community providers.
Case Studies
Case Studies
Characterizing COPD subtypes for targeted therapy development
Challenge
Existing datasets could not reliably distinguish the COPD subtypes relevant to the therapy.
Approach
Century Health abstracted EHR and imaging data from pulmonology practices to capture inflammation, airway disease, and emphysema.
Impact
Identification of non-Type 2 COPD populations informed patient stratification and future trial design.
Characterizing COPD subtypes for targeted therapy development
Challenge
Existing datasets could not reliably distinguish the COPD subtypes relevant to the therapy.
Approach
Century Health abstracted EHR and imaging data from pulmonology practices to capture inflammation, airway disease, and emphysema.
Impact
Identification of non-Type 2 COPD populations informed patient stratification and future trial design.
Characterizing COPD subtypes for targeted therapy development
Challenge
Existing datasets could not reliably distinguish the COPD subtypes relevant to the therapy.
Approach
Century Health abstracted EHR and imaging data from pulmonology practices to capture inflammation, airway disease, and emphysema.
Impact
Identification of non-Type 2 COPD populations informed patient stratification and future trial design.
How It Works
01
Scope
Tell us your disease area, patient population, and priorities. We'll scope the dataset with you.
02
Define
We define the cohort and extract disease-specific variables aligned to your requirements.
03
Analyze
Receive your dataset in OMOP CDM, delivered to your preferred environment. We conduct analysis or support your analysis team.