Aims Cohorts of millions of people's health records, whole genome sequencing, imaging,
sensor, societal and publicly available data present a rapidly expanding digital trace of …

In pharmacoepidemiology, routinely collected data from electronic health records (including
primary care databases, registries, and administrative healthcare claims) are a resource for …

Precision Medicine involves the delivery of a targeted, personalized treatment for a given
patient. By harnessing the power of electronic health records (EHRs), we are increasingly …

Objective Systematic analysis of observational medical databases for active safety
surveillance is hindered by the variation in data models and coding systems. Data analysts …

Objectives To evaluate the utility of applying the Observational Medical Outcomes
Partnership (OMOP) Common Data Model (CDM) across multiple observational databases …

Objective Social media is an important pharmacovigilance data source for adverse drug
reaction (ADR) identification. Human review of social media data is infeasible due to data …

Objective In response to COVID-19, the informatics community united to aggregate as much
clinical data as possible to characterize this new disease and reduce its impact through …

The use of primary care electronic health records for research is abundant. The benefits
gained from utilising such records lies in their size, longitudinal data collection and data …

Background Establishing collaborations between cohort studies has been fundamental for
progress in health research. However, such collaborations are hampered by heterogeneous …

Abstract Background Electronic health records (EHRs) are increasingly used for clinical and
translational research through the creation of phenotype algorithms. Currently, phenotype …