SHM Converge Scientific Abstract ePoster Gallery-Healthcare Providers Perception of Artificial Intelligence in Healthcare

Pdf Summary

This survey study explored healthcare providers’ perceptions of artificial intelligence (AI) in medicine, focusing on their knowledge, attitudes, experience, and preparedness for AI integration. The authors note that while AI is increasingly being adopted in healthcare, little is known about clinicians’ readiness to use it effectively.<br /><br />A survey was distributed through an internal email list and included multiple-choice, Likert-scale, and open-ended questions. A total of 195 responses were collected over two months in 2022–2023. Respondents came from diverse specialties, experience levels, and practice settings.<br /><br />Overall, clinicians reported limited formal AI training and low self-reported understanding of AI. ChatGPT was the most commonly used AI tool outside of work, while clinical use of other AI systems was minimal. Despite these gaps, respondents generally recognized AI’s potential to improve efficiency, enhance outcomes, and reduce costs. However, they also expressed concerns about ethical issues, job displacement, and the future of the patient-physician relationship. Preparedness for broader AI adoption was rated low, although most participants remained optimistic about AI’s future role in healthcare.<br /><br />The study concludes that there are significant knowledge and readiness gaps among clinicians regarding AI. The authors emphasize the need for clinician-focused AI education and training, along with greater clinician participation in the development and evaluation of AI systems. They also call for clear policies and ethical guidelines to support safe, effective, and informed AI adoption in healthcare.

Asset Subtitle

Shakir Ullah

Meta Tag

Author List Hamza Asif, Khalid Nawab, Richard Schreiber, Shadi Hijjawi, Shakir Ullah, Srinivasa Boora

Category Research

Concept Healthcare AI

Concept Service-specific Clinical Knowledge

Concept Formal Training

Concept Healthcare Provider Perception

Concept Formal AI Education

Distinguished Non-Finalist

Presenter Organization Charles R Drew University of Medicine

Presenting Author Shakir Ullah

Track Quality Improvement

Keywords

artificial intelligence

healthcare providers

clinician readiness

AI training

survey study

medical adoption

ChatGPT

ethical concerns

healthcare efficiency

patient-physician relationship

Healthcare AI

Service-specific Clinical Knowledge

Formal Training

Healthcare Provider Perception

Formal AI Education