@article{IR,
      author = {Hsu, Frances and Weiskopf, Nicole},
      url = {http://digitalcollections.ohsu.edu/record/41528},
      title = {Unique biases in electronic health records data for  research: a systematic review},
      publisher = {Oregon Health and Science University},
      abstract = {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.},
      number = {IR},
      doi = {https://doi.org/10.6083/bpxhc41528},
      recid = {41528},
      address = {2023-08-15},
}