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Ambient artificial intelligence (AI) scribes in emergency departments increased time in electronic health records and physician note contributions. AI scribes showed similar or lower note quality compared to human scribes, particularly for pediatric patients.

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Area of Science:

  • Health Informatics
  • Artificial Intelligence in Medicine
  • Emergency Medicine

Background:

  • The integration of artificial intelligence (AI) into healthcare aims to improve efficiency and documentation.
  • Human scribes are traditionally used to assist physicians with electronic health record (EHR) documentation.

Purpose of the Study:

  • To compare the note quality and EHR time utilization of ambient AI scribes versus human scribes in an emergency department setting.

Main Methods:

  • A pilot quality improvement study was conducted with physicians using either human or AI scribes.
  • Note quality was assessed using the Physician Documentation Quality Instrument (PDQI-9) by blinded physicians.
  • Time metrics and physician contributions within the EHR were recorded and compared between scribe groups.

Main Results:

  • AI scribes were associated with increased time spent in the EHR notes section for both adult and pediatric patients.
  • Physician contributions to notes were significantly higher when using AI scribes.
  • Note quality was similar for adults but lower for pediatric patients when using AI scribes compared to human scribes.

Conclusions:

  • Ambient AI scribes require more EHR time and increase physician documentation input compared to human scribes.
  • The quality of AI-generated notes may be lower, especially in pediatric emergency care.
  • Further research is needed to optimize AI scribe performance and assess long-term impacts.