Observational data fill in knowledge gaps when randomized controlled trials (RCTs) are not ethical or feasible. Electronic health records (EHRs) provide a source of observational data from diverse patient samples that reflect real-world settings. However, observational data are susceptible to biases and EHR data contain new forms of bias(es) because they were collected for clinical and not research purposes.
Details
Title
Unique biases in electronic health records data for research: a systematic review
Creator
Hsu, Frances : Oregon Health and Science University Weiskopf, Nicole : Oregon Health and Science University
Meeting Name
Research Week, Oregon Health and Science University, 2023