Clinical data describing the phenotypes and treatment of patients represents an underused
data source that has much greater research potential than is currently realized. Mining of …

The combination of improved genomic analysis methods, decreasing genotyping costs, and
increasing computing resources has led to an explosion of clinical genomic knowledge in …

The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

The convergence of two rapidly developing technologies-high-throughput genotyping and
electronic health records (EHRs)-gives scientists an unprecedented opportunity to utilize …

Abstract Objective Electronic health records (EHRs) are a rich source of information on
human diseases, but the information is variably structured, fragmented, curated using …

The widespread adoption of electronic health record (EHRs) in healthcare systems has
created a vast and continuously growing resource of clinical data and provides new …

Patient interactions with health care providers result in entries to electronic health records
(EHRs). EHRs were built for clinical and billing purposes but contain many data points about …

Electronic health records contain patient‐level data collected during and for clinical care.
Data within the electronic health record include diagnostic billing codes, procedure codes …

The national adoption of electronic health records (EHR) promises to make an
unprecedented amount of data available for clinical research, but the data are complex …

Objectives: The goal of this survey is to discuss the impact of the growing availability of
electronic health record (EHR) data on the evolving field of Clinical Research Informatics …