Context: Large sets of Electronic Health Record (EHR) data are a practical tool to gain
insights into cross sectional or longitudinal trends of conditions or diseases that affect …

Abstract Context: Large sets of Electronic Health Record (EHR) data are a practical tool to
gain insights into cross sectional or longitudinal trends of conditions or diseases that affect …

Background Gaps in electronic health record (EHR) data collection and the paucity of
standardized clinical data elements (CDEs) captured from electronic and digital data …

Electronic health records (EHRs) offer the potential to study large numbers of patients but
are designed for clinical practice, not research. Despite the increasing availability of EHR …

Background Although electronic health records (EHR) have significant potential for the study
of opioid use disorders (OUD), detecting OUD in clinical data is challenging. Models using …

Electronic health record (EHR) systems are increasingly common in most of the developed
world (1). Clinic encounters, in the age of EHRs, generate hundreds of data elements used …

Extraction and use of Electronic Health Record (EHR) data is common in retrospective
observational studies. However, electronic extraction and use of EHR data is rare during …

Using EHR to Conduct Outcome and Health Services Research | SpringerLink Skip to main
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Background We used structured and unstructured electronic health record (EHR) data to
develop and validate an approach to identify moderate/severe opioid use disorder (OUD) …

Context: The widespread adoption of electronic health records (EHRs) offers significant
opportunities to conduct research with clinical data from patients outside traditional …