An Automated Assistant for Medical Scribes

Gregory Finley, Erik Edwards, Amanda Robinson, Najmeh Sadoughi, James Fone, Mark Miller, David Suendermann-Oeft, Michael Brenndoerfer, Nico Axtmann


Healthcare professionals spend a significant amount of their time on administrative tasks rather than direct patient care. One effective way to alleviate some of this burden is to employ a medical scribe, who charts patient-physician encounters in real time. We present a complete implementation of an automated medical scribe assistant, which listens to the encounter and produces a draft of report text and the information used to create it, which can dramatically streamline the scribe’s task. This system is, to our knowledge, the first automated scribe ever presented and relies on multiple speech and language technologies, including speaker diarization, medical speech recognition, knowledge extraction and natural language generation.


Cite as: Finley, G., Edwards, E., Robinson, A., Sadoughi, N., Fone, J., Miller, M., Suendermann-Oeft, D., Brenndoerfer, M., Axtmann, N. (2018) An Automated Assistant for Medical Scribes. Proc. Interspeech 2018, 3212-3213.


@inproceedings{Finley2018,
  author={Gregory Finley and Erik Edwards and Amanda Robinson and Najmeh Sadoughi and James Fone and Mark Miller and David Suendermann-Oeft and Michael Brenndoerfer and Nico Axtmann},
  title={An Automated Assistant for Medical Scribes},
  year=2018,
  booktitle={Proc. Interspeech 2018},
  pages={3212--3213}
}