Corpus ID: 220381188

An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning

@article{Han2020AnEM,
  title={An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning},
  author={Wang Han and Wesley Yeung and Angeline Tung and Joey Tay Ai Meng and Davin Ryanputera and Mengling Feng and Shalini Arulanadam},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.03596}
}
Clinical performance audits are routinely performed in Emergency Medical Services (EMS) to ensure adherence to treatment protocols, to identify individual areas of weakness for remediation, and to discover systemic deficiencies to guide the development of the training syllabus. At present, these audits are performed by manual chart review which is time-consuming and laborious. In this paper, we present an automatic audit system based on both the structured and unstructured ambulance case… Expand

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