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Related Concept Videos

Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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Related Experiment Video

Updated: Sep 23, 2025

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
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Initial Experience with a COVID-19 Screening Chatbot Before Radiology Appointments.

Winston T Wang1, Nelly Tan2, James A Hanson3

  • 1Mayo Clinic Alix School of Medicine - Arizona Campus, Mayo Clinic College of Medicine and Science, Scottsdale, AZ, USA.

Journal of Digital Imaging
|May 13, 2022
PubMed
Summary
This summary is machine-generated.

An automated chatbot for COVID-19 screening via SMS before radiology appointments proved feasible. Patients preferred English and responded well, indicating a successful tool for pre-appointment health assessments.

Keywords:
COVID-19ChatbotDigital healthInformatics

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Area of Science:

  • Radiology
  • Public Health
  • Health Informatics

Background:

  • COVID-19 guidelines mandated safety measures, including patient screening and reduced contact.
  • Institutions sought innovative methods to screen patients while minimizing human interaction.

Purpose of the Study:

  • To assess the feasibility of an automated chatbot system for COVID-19 screening before radiology appointments.
  • To evaluate patient experiences and satisfaction with the chatbot communication system.

Main Methods:

  • A pilot study developed and tested an SMS-based chatbot for COVID-19 screening (symptoms, exposure, testing).
  • User experience was evaluated using a 5-point Likert scale questionnaire.
  • Multivariable logistic regression analyzed factors predicting chatbot response rates.

Main Results:

  • The chatbot system was sent to 4687 patients, with a 58.1% response rate (2722 patients).
  • A small percentage of respondents reported COVID-19 symptoms (1.7%) or had tests pending (1.2%).
  • English language preference independently predicted higher response rates (OR 2.71), while age and sex did not.

Conclusions:

  • SMS-based chatbot screening for COVID-19 before radiology appointments is a feasible approach.
  • The chatbot system offers an effective method for pre-appointment patient health assessment.
  • English language preference is a key factor influencing patient engagement with automated health screening tools.