Trigger Tool–Based Automated Adverse Event Detection in Electronic Health Records: Systematic Review

@inproceedings{Musy2018TriggerTA,
  title={Trigger Tool–Based Automated Adverse Event Detection in Electronic Health Records: Systematic Review},
  author={Sarah N Musy and Dietmar Ausserhofer and Ren{\'e} Schwendimann and Hans Ulrich Rothen and Marie-Madlen Jeitziner and Anne Ws Rutjes and Michael Simon},
  booktitle={Journal of medical Internet research},
  year={2018}
}
BACKGROUND Adverse events in health care entail substantial burdens to health care systems, institutions, and patients. Retrospective trigger tools are often manually applied to detect AEs, although automated approaches using electronic health records may offer real-time adverse event detection, allowing timely corrective interventions. OBJECTIVE The aim of this systematic review was to describe current study methods and challenges regarding the use of automatic trigger tool-based adverse… CONTINUE READING