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.
Benefits
Global
Comprehensive
Timely
Structured
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
- Registries
- National surveys
- National surveillance systems
- Spontaneous reporting systems
301 standardized database profiles
75 defined data fields
Profiles from 38 countries
Continuously updated
What our customers say
B.R.I.D.G.E. TO DATA provides more than 100 health care database profiles from different countries. It allows user to compare various database profiles side-by-side.
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.
B.R.I.D.G.E. TO DATA has been very helpful for initial screening data sources for a potential epi study. It provides broad, thorough, and detailed information on each database listed in the system. It has been a wonderful tool to have, especially for feasibility evaluation.
What's new
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!