Take a moment to read B.R.I.D.G.E. TO DATA’s UK Biobank profile. It contains a wide variety of phenotype data (via questionnaires, direct measurements, linkage to other databases) and biological samples (blood, urine, saliva). We just updated the profile with detailed descriptions of the biobank’s genetic data.
View our latest newsletter for information on how you can:
⌘ Access Genetic database/Biobank profiles (NEW!)
⌘ Receive customized assistance on DB-related projects (NEW!)
⌘ Integrate our resource (Extract) into your company network
⌘ Enjoy a special 10% anniversary discount (Limited Time)
⌘ Experience our upgraded and enhanced website (as requested by our users)
The National Hospital Care Survey (NHCS) replaced the National Hospital Discharge Survey (NHDS) in 2011. It provides information to assess the health of the population through the creation of a dataset that contains information on health care utilization as well as demographic characteristics, medical conditions, and treatment of patients who use hospitals for inpatient and ambulatory medical care in the United States.
These three longitudinal population databases from Europe contain hospital dispensing records from their respective countries.
We will be at ICPE in Philadelphia, Pennsylvania: August 26 - 28, 2019. Stop by our booth (#1116) to try a database profile search and enter for a chance to win a FREE one-month subscription!
This will be an excellent time to interact with those who work directly with the resource.
*35th International Conference on Pharmacoepidemiology & Therapeutic Risk Management
We have just uploaded our 24th profile from Canada, the Discharge Abstract Database (DAD). Originally developed in 1963, DAD captures administrative, clinical and demographic information on hospital discharges (including deaths, sign-outs and transfers).
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);
301 - BIG3 (Sweden).
It has taken us many years to reach this mark and we couldn’t do it without the help from all the database managers and their staff. Thank you!
The AACR Project Genomics, Evidence, Neoplasia, Information, Exchange (GENIE) is a multiphase, multi-year, international data-sharing project launched in November 2015. It aims to catalyze precision cancer medicine. The goal of the GENIE platform is to integrate and link clinical-grade cancer genomic data with clinical outcome data for tens of thousands of cancer patients.