Back to search

Article

Clinician Perceptions of Generative Artificial Intelligence Tools and Clinical Workflows: Potential Uses, Motivations for Adoption, and Sentiments on Impact

2024-07-31

Abstract excerpt

Successful integration of Generative Artificial Intelligence (AI) into healthcare requires understanding of health professionals’ perspectives, ideally through data-driven approaches. In this study, we use a semi-structured survey and mixed methods analyses to explore clinicians’ perceptions on the utility of generative AI for all types of clinical tasks, familiarity and competency with generative AI tools, and se...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f7f52d0d-c695-5f5b-a26d-8debce008e8f
DOI
10.1101/2024.07.29.24311177
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Clinician Perceptions of Generative Artificial Intelligence Tools and Clinical Workflows: Potential Uses, Motivations for Adoption, and Sentiments on ImpactDOI 10.1101/2024.07.29.24311177
Healthcare Providers' Perspectives on Generative Artificial Intelligence (GenAI) Adoption, Adaptation, Assimilation, and Use in the United StatesSemantic proximity
Reproducible Generative AI Evaluation for Healthcare: A Clinician-in-the-Loop ApproachSemantic proximity
Generative Artificial Intelligence in Laboratory-Based Health Sciences Education: A Scoping Review of an Emerging Evidence BaseSemantic proximity
Generative AI-powered simulated patients in medical and healthcare education: A scoping review and meta analysisSemantic proximity
Generative Artificial Intelligence and Its Role in the Development of Clinical Cases in Medical Education: A Scoping Review ProtocolSemantic proximity
Development of research ethics guidelines for healthcare generative artificial intelligence: deriving expert consensus through a Delphi studySemantic proximity
Perceptions, acceptance and educational use of generative artificial intelligence among health professions students and educators: a rapid systematic reviewSemantic proximity
Generative Artificial Intelligence in Medicine: A Mixed Methods Survey of UK General PractitionersSemantic proximity
Generative Artificial Intelligence Adoption and the Future of the Primary Care Profession: An Online Survey of UK General Practitioners’ Experiences and OpinionsSemantic proximity
Performance of an Ambient Generative AI Documentation Tool in a Linguistically Diverse Clinical SettingSemantic proximity
Beyond AI Transparency: A Reproducibility-Centred Governance Framework for Adaptive Generative AI Across the Medical Research LifecycleSemantic proximity
Curiosity, reassurance and convenience: Understanding public motivations for using Generative AI in symptom assessmentSemantic proximity
Select a neighboring publication to make it the new centre.