The search engine for healthcare databases
B.R.I.D.G.E. TO DATA® is Your Connection to Healthcare Databases Worldwide - a unique non-profit online reference describing population healthcare databases for use in epidemiology and health outcomes research. (NOTE: This site does not contain any proprietary data or actual datasets from any healthcare database.)
Drawing on decades of experience with databases, we developed this tool to allow users to identify key features and compare database profiles. This resource also serves as an educational tool for public health research and as a template for health systems planners to design or refine their healthcare data.
Access a specialized glossary
Contact our staff
Scan recent publications & administrative contacts for each database
Archive searches & create your own database collections
Search & Compare standardized profiles side-by-side
Access most up-to-date profiles verified by database managers
Identify population healthcare databases worldwide
Key Database Features
Types of databases include:
- Longitudinal EMR and claims
- Drug or disease specific cohorts
- National surveys
- National surveillance systems
- Spontaneous reporting systems
301 standardized database profiles
75 defined data fields
Profiles from 38 countries
What our customers say
It is impressive that your list is getting longer. The search engine (B.R.I.D.G.E. TO DATA) is useful when a researcher gets overview of various databases at a glance.
This "database" of databases is very useful in my day-to-day activities as it allows me to find quickly which databases will fit the best regarding the research questions I have. It is very complete and contains information on countries for which it is sometimes difficult to find information elsewhere.
This easy-to-use service gives the best snapshot information about health-related databases. It’s easy to compare databases based on numerous criteria.
We have just uploaded our 24th profile from Canada, the Discharge Abstract Database (DAD).
We would like to invite our subscribers to visit our 299th, 300th healthcare database profiles.
299 - Optum-Humedica De-identified Electronic Health Record (EHR) dataset (USA);
The AACR Project Genomics, Evidence, Neoplasia, Information, Exchange (GENIE) is a multiphase, multi-year, international data-sharing project launched in November 2015.
We are here at Booth #32 in Prague at the International Conference on Pharmacoepidemiology. Stop by for a demo and conduct your own search!