Collaborative Practices in AI Healthcare Research: An Interview Study
A recent study released on arXiv (2311.18424) examines collaborative methods in the intersection of AI and healthcare research. The researchers performed an inductive thematic analysis based on 13 semi-structured interviews with members of early-stage AI-in-healthcare research consortia in the UK. The research characterizes AI as 'sociotechnical,' highlighting the intertwined nature of social and technical elements in its development. Results indicate that participants modify tools and information for various audiences, particularly when interacting with clinicians or patients. Major themes identified include the novelty of engaging in AI research, the importance of knowledge sharing, and fostering inclusion.
Key facts
- Study published on arXiv with ID 2311.18424
- 13 semi-structured interviews conducted
- Participants from early-stage AI-in-healthcare research consortia in the UK
- Inductive thematic analysis used
- AI framed as 'sociotechnical'
- Participants adapt tools and information for different audiences
- Focus on clinical and patient perspectives
- Themes: novelty of AI research, knowledge sharing, inclusion
Entities
Institutions
- arXiv
Locations
- United Kingdom