Public Involvement and Engagement in Big Data Research: Scoping Review.

Background: The success of big data initiatives depends on public support. Public involvement and engagement could be a way of establishing public support for big data research.

Objective: This review aims to synthesize the evidence on public involvement and engagement in big data research.

Artificial intelligence and health inequities in primary care: a systematic scoping review and framework.

Objective: Artificial intelligence (AI) will have a significant impact on healthcare over the coming decade. At the same time, health inequity remains one of the biggest challenges. Primary care is both a driver and a mitigator of health inequities and with AI gaining traction in primary care, there is a need for a holistic understanding of how AI affect health inequities, through the act of providing care and through potential system effects.

Remote working in public involvement: findings from a mixed methods study.

Background: This paper considers remote working in patient public involvement and engagement (PPIE) in health and social care research. With the advent of the Covid-19 pandemic and associated lock-down measures in the UK (from March 2020), PPIE activities switched to using remote methods (e.g.

Public involvement and engagement in big data research: protocol for a scoping review and a systematic review of delivery and effectiveness of strategies for involvement and engagement.

Introduction: Big data research has grown considerably over the last two decades. This presents new ethical challenges around consent, data storage and anonymisation. Big data research projects require public support to succeed and it has been argued that one way to achieve this is through public involvement and engagement.