Sharing Patient Praises With Radiology Staff: Workflow Automation and Impact on Staff.

Journal: Journal of the American College of Radiology : JACR
Published Date: Dec 28, 2023

Abstract

OBJECTIVE: This study aims to develop and evaluate a semi-automated workflow using natural language processing (NLP) for sharing positive patient feedback with radiology staff, assessing its efficiency and impact on radiology staff morale.

Authors

  • Zoe Deahl
    Research Intern, Department of Radiology, Mayo Clinic, Phoenix, Arizona.
  • Imon Banerjee
    Mayo Clinic, Department of Radiology, Scottsdale, AZ, USA.
  • Meghana Nadella
    Research Assistant, Department of Radiology, Mayo Clinic, Phoenix, Arizona; and School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona.
  • Anika Patel
    Research Intern, Department of Radiology, Mayo Clinic, Phoenix, Arizona.
  • Christopher Dodoo
    Statistician, Quantitative Health Sciences, Mayo Clinic, Phoenix, Arizona.
  • Iridian Jaramillo
    Patient Navigator, Department of Radiology, Mayo Clinic, Phoenix, Arizona.
  • Jacob Varner
    Department of Radiology, Mayo Clinic, Phoenix, Arizona.
  • Evie Nguyen
    Research Intern, Department of Radiology, Mayo Clinic, Phoenix, Arizona.
  • Nelly Tan
    Associate Professor, Department of Radiology, Mayo Clinic, Phoenix, Arizona. Electronic address: tan.nelly@mayo.edu.

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