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Related Experiment Video

Updated: Jan 19, 2026

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Capturing Real-Time Emergency Department Sentiment: A Feasibility Study Using Touch-Button Terminals.

Anish K Agarwal1, Lauren Hahn2, Arthur Pelullo2

  • 1Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA; Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA; Penn Medicine Center for Healthcare Innovation, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.

Annals of Emergency Medicine
|September 9, 2019
PubMed
Summary
This summary is machine-generated.

Measuring real-time provider and patient sentiment in busy emergency departments (EDs) is feasible using touch-button terminals. Negative sentiment correlated with increased patient wait times and boarding.

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Area of Science:

  • Healthcare Management
  • Clinical Operations
  • Patient Experience

Background:

  • Emergency departments (EDs) face high provider stress and limited understanding of real-time sentiment.
  • Measuring patient and provider sentiment during shifts is challenging in busy clinical settings.

Purpose of the Study:

  • To test the feasibility of measuring real-time sentiment using touch-button terminals in an urban academic ED.
  • To correlate sentiment data with traditional ED volume metrics.

Main Methods:

  • Touch-button terminals with four sentiment options were deployed at provider and patient locations.
  • Pearson correlation coefficients analyzed the relationship between sentiment and volume metrics (arrivals, length of stay, waiting, boarding).

Main Results:

  • Over 13,000 sentiments were recorded, with the majority from providers (58.7% negative).
  • Negative provider sentiment correlated with increased patient waiting (r=0.45) and boarding (r=0.68).
  • Negative patient sentiment correlated with increased waiting (r=0.55) and boarding (r=0.67).

Conclusions:

  • Real-time sentiment measurement in EDs is feasible using a novel touch-button approach.
  • This method offers a valuable comparison to traditional volume metrics for understanding ED dynamics.