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Medical Malpractice Trends: Errors in Automated Speech Recognition

  • Systems-Level Quality Improvement
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Funding

This study was funded by CRICO foundation.

Author information

Authors and Affiliations

  1. Cheryl Spencer Department of Nursing, University of Haifa, Haifa, Israel

    Maxim Topaz

  2. Brigham and Women’s Hospital, Boston, MA, USA

    Maxim Topaz, Adam Schaffer, Zfania Tom Korach & Li Zhou

  3. Harvard Medical School & Brigham and Women’s Hospital, 25 Shattuck St, Boston, MA, 02115, USA

    Maxim Topaz

  4. Harvard Medical School, Boston, MA, USA

    Adam Schaffer, Zfania Tom Korach & Li Zhou

  5. Partners HealthCare System, Boston, MA, USA

    Kenneth H. Lai & Li Zhou

  6. Department of Computer Science, Brandeis University, Waltham, MA, USA

    Kenneth H. Lai

  7. Controlled Risk Insurance Company (CRICO), Boston, MA, USA

    Jonathan Einbinder

Authors
  1. Maxim Topaz
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  2. Adam Schaffer
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  3. Kenneth H. Lai
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  4. Zfania Tom Korach
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  5. Jonathan Einbinder
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  6. Li Zhou
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Corresponding author

Correspondence to Maxim Topaz.

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Conflict of interest

None reported.

Ethical approval

This article does not contain any studies with human participants performed by any of the authors. This study was approved by the Institutional Review Board (IRB) of partners Healthcare, Boston, USA.

Additional information

This article is part of the Topical Collection on Systems-Level Quality Improvement

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Topaz, M., Schaffer, A., Lai, K.H. et al. Medical Malpractice Trends: Errors in Automated Speech Recognition. J Med Syst 42, 153 (2018). https://doi.org/10.1007/s10916-018-1011-9

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  • DOI: https://doi.org/10.1007/s10916-018-1011-9

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