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Related Experiment Video

Updated: Nov 10, 2025

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Exploring healthcare professionals' perceptions of artificial intelligence: Validating a questionnaire using the

Lucy Shinners1, Christina Aggar1, Sandra Grace2

  • 1Faculty of Health, Southern Cross University, Gold Coast Airport, Bilinga, Australia.

Digital Health
|April 5, 2021
PubMed
Summary
This summary is machine-generated.

Experts developed a questionnaire to measure healthcare professionals' perceptions of Artificial Intelligence (AI) using an e-Delphi method. This study successfully created a consensus-based tool for assessing AI views in healthcare.

Keywords:
Artificial intelligenceDigital healthTechnology

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Area of Science:

  • Health Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Understanding healthcare professionals' views on Artificial Intelligence (AI) is crucial for its effective integration.
  • Existing tools may not adequately capture nuanced perceptions of AI in clinical settings.

Purpose of the Study:

  • To develop and validate a questionnaire measuring healthcare professionals' perceptions of Artificial Intelligence (AI).
  • To leverage expert consensus for creating a reliable assessment tool.

Main Methods:

  • An e-Delphi methodology was employed with an interdisciplinary panel of health and information technology experts.
  • Data collection involved three rounds: online surveys, a group meeting, and email communication.
  • Consensus was defined as achieving a 75% median threshold on questionnaire items.

Main Results:

  • A panel of five healthcare professionals and three IT experts participated between January and March 2019.
  • Consensus was reached on nine initial items, demographic questions, and two additional items through iterative feedback.
  • 100% consensus was achieved on the final questionnaire after a final e-Delphi round.

Conclusions:

  • A modified e-Delphi approach successfully validated and developed a questionnaire on healthcare professionals' perceptions of AI.
  • The interdisciplinary expert panel demonstrated the efficacy of the e-Delphi method for consensus building.
  • Further research is recommended to establish the reliability of the developed questionnaire.