The programme of research will adopt a mixed-methods approach and aims to investigate effective strategies to support a platform for stakeholder engagement and involvement in the development and implementation of AI technologies in healthcare settings. We will identify and address challenges faced by the proliferation of these data driven technologies in healthcare and how they may affect patients, the public, healthcare professionals, and involved stakeholders. Alongside the empirical research, the project will recruit a patient and public involvement panel to contribute to the project activities over the three year period.
The research will focus on:
- What are the current and anticipated uses of AI technologies in treatment, diagnostic decision-making and precision medicine;
- Understanding the issues that stakeholders perceive will influence the adoption and implementation of AI in healthcare;
- Identifying the types of engagement mechanisms, safeguards and regulatory controls they would like to see in place; and
- How to development a platform for engagement that can address issues of trust, responsibility, accountability and transparency, and influence normative practices in the implementation of AI technologies in healthcare.
Beverley Yamamoto says:
It is exciting be working with the Oxford team on this very meaningful project. Given that we are only just starting to apply AI to health care settings, identifying appropriate engagement mechanisms to allow key stakeholders, including patients, to work together to ensure the relevance, acceptance and equitability of this new technology is of profound importance.
This project is one of six which have been funded through UK Research and Innovation’s (UKRI) Fund for International Collaboration (FIC) in a joint UK-Japan initiative. The Economic and Social Research Council (ESRC) and the Arts and Humanities Research Council (AHRC), both part of UKRI, contributed £2.4m via FIC, while the Japanese Science and Technology Agency (JST) contributed ¥180m.