@article{IR,
      author = {Bahr, Nathan and Kain, Alexander and Bedrick, Steven and  Guise, Jeanne-Marie},
      url = {http://digitalcollections.ohsu.edu/record/8340},
      title = {Enhancing epidemiological safety in prehospital care by  detecting adverse events in patient care records},
      publisher = {Oregon Health and Science University},
      abstract = {The term Adverse Safety Events (ASEs) refers to harm from  medical errors and, if considered a disease, would rank  third among the leading causes of death in the U.S. Patient  safety research has traditionally performed manual review  of patient care records (PCR) to characterize ASEs and  develop prevention strategies. Manual review is  labor-intensive, which prohibits continuous monitoring and  improvement. Automating detection of ASEs would overcome  these barriers and allow the healthcare community to  address safety issues at a population scale. Our objective  is to demonstrate the feasibility of automatically  detecting safety events in PCRs.},
      number = {IR},
      doi = {https://doi.org/10.6083/wp988k473},
      recid = {8340},
      address = {2020},
}