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AI in UK healthcare research requires adapting tools and communication for collaboration

A study examining interdisciplinary collaboration in AI and healthcare research in the UK found that participants frequently had to adapt their communication and tools to suit different audiences, particularly clinicians and patients. The research, based on interviews with individuals involved in AI-in-healthcare consortia, highlights the novel challenges introduced when integrating AI into existing healthcare workflows. Key areas identified include the sharing of AI knowledge and the incorporation of stakeholder perspectives, underscoring the sociotechnical nature of AI development in this domain. AI

IMPACT Highlights the need for tailored communication strategies when integrating AI into healthcare settings.

RANK_REASON Academic paper on AI in healthcare research practices. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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AI in UK healthcare research requires adapting tools and communication for collaboration

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Rafael Henkin, Elizabeth Remfry, Duncan J. Reynolds, Megan Clinch, Michael R. Barnes ·

    "We'll have to see how it works": An interview study to understand collaborative practices in interdisciplinary artificial intelligence and healthcare research

    arXiv:2311.18424v3 Announce Type: replace-cross Abstract: Developing artificial intelligence (AI) algorithms for healthcare is a collaborative effort, bringing data scientists, clinicians, patients and other stakeholders together. By understanding AI as 'sociotechnical' where the…