Health Care Professionals' Experience of Using AI: Systematic Review With Narrative Synthesis
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View abstract on PubMed
Summary
This summary is machine-generated.Healthcare professionals express varied trust and understanding of artificial intelligence (AI) tools for clinical decision support. Optimizing AI integration requires addressing concerns about AI
Area Of Science
- Healthcare Informatics
- Artificial Intelligence in Medicine
- Clinical Decision Support Systems
Background
- Artificial intelligence (AI) tools are increasingly used for clinical decision support, shifting from knowledge-based to machine learning-based systems.
- Understanding healthcare professionals' trust and perceived benefits is crucial for adopting AI technologies.
- Experiences with non-knowledge-based AI clinical decision support tools remain poorly understood.
Purpose Of The Study
- To qualitatively synthesize evidence on healthcare professionals' experiences with non-knowledge-based AI tools in routine clinical decision-making.
- To explore the factors influencing the adoption and effective use of AI in healthcare settings.
Main Methods
- A comprehensive search of four electronic databases (MEDLINE, Embase, CINAHL, Web of Science) was conducted in June 2023.
- Included studies of any design reporting healthcare professionals' experiences with non-knowledge-based AI for clinical decision support.
- Thematic synthesis was employed following double independent quality assessment using the Mixed Methods Appraisal Tool.
Main Results
- Twenty-five studies from nine countries were included, with a majority being qualitative.
- Seven key themes emerged: understanding AI, trust and confidence, perceived value, data limitations, time constraints, governance concerns, and collaboration.
- Healthcare professionals reported concerns about understanding AI outputs and rationale, variable confidence in AI accuracy, and differing views on AI's added value.
Conclusions
- Significant issues exist regarding healthcare professionals' understanding of and trust in AI tools for clinical decision support.
- Opinions on the added value of AI tools varied widely among professionals.
- Concerted efforts are needed to optimize the integration of AI tools into real-world healthcare settings.
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