Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies.
Publication: Patterns 3: 100506.
Soumya Banerjee, Phil Alsop, Linda Jones, Rudolf N. Cardinal
10 June 2022
Summary
Artificial intelligence (AI) is increasingly taking on a greater role in healthcare. However, hype and negative news reports about AI abound. Integrating patient and public involvement (PPI) in healthcare AI projects may help in adoption and acceptance of these technologies. Researchers argue that AI algorithms should also be co-designed with patients and healthcare workers. They specifically suggest (1) including patients with lived experience of the disease, and (2) creating a research advisory group (RAG) and using these group meetings to walk patients through the process of AI model building, starting with simple (e.g., linear) models.
