Clinician Perceptions of Generative Artificial Intelligence Tools and Clinical Workflows: Potential Uses, Motivations for Adoption, and Sentiments on Impact
Ruan, E. L.; Alkattan, A.; Elhadad, N.; Rossetti, S. C.
Show abstract
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 sentiments regarding the potential impact of generative AI on healthcare. Analysis of 116 clinician responses found differing perceptions regarding the usefulness of generative AI across clinical workflows, with information gathering from external sources rated highest and communication rated lowest. Clinician-generated prompt suggestions focused most often on clinician decision making and were of mixed quality, with participants more familiar with generative AI suggesting more high-quality prompts. Sentiments regarding the impact of generative AI varied, particularly regarding trustworthiness and impact on bias. Thematic analysis of open-ended comments highlighted concerns about patient care and the role of clinicians.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Connecting Artificial Intelligence and Primary Care Challenges: Findings from a Multi-Stakeholder Collaborative Consultation 95%
- User Testing of a Diagnostic Decision Support System with Machine-assisted Chart Review to Facilitate Clinical Genomic Diagnosis 94%
- Measures of socioeconomic advantage are not independent predictors of support for healthcare AI: subgroup analysis of a national Australian survey 94%
Similar papers in this journal
- Theory of radiologist interaction with instant messaging decision support tools: a sequential-explanatory study 96%
- Development and preliminary testing of Health Equity Across the AI Lifecycle (HEAAL): A framework for healthcare delivery organizations to mitigate the risk of AI solutions worsening health inequities 95%
- Harnessing the Open Access Version of ChatGPT for Enhanced Clinical Opinions 95%
Similar papers in this journal
- Improving emergency department patient-doctor conversation through an artificial intelligence symptom taking tool: an action-oriented design pilot study 95%
- Exploring Patient and Staff Experiences of Video Consultations During COVID-19 in an English Outpatient Care Setting: Secondary Data Analysis of Routinely Collected Feedback Data 94%
- The potential for digital patient symptom recording through symptom assessment applications to optimize patient flow and reduce waiting times in Urgent Care Centers: a simulation study 93%
Similar papers in this journal
- Validating a Clinical Decision Support System for Palliative Care using healthcare professionals’ insights 94%
- How suitable are clinical vignettes for the evaluation of symptom checker apps? A test theoretical perspective 93%
- A digital self-care intervention for Ugandan patients with heart failure and their clinicians: User-centred design and usability study 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.