The availability of large, deidentified health datasets has enabled significant innovation in
using machine learning (ML) to better understand patients and their diseases. However …

Deliberative inclusive approaches, such as citizen juries, have been used to engage citizens
on a range of issues in health care and public health. Researchers engaging with the public …

Importance Understanding the views and values of patients is of substantial importance to
developing the ethical parameters of artificial intelligence (AI) use in medicine. Thus far …

Importance As health information technology grows, secondary uses of personal health
information offer promise in advancing research, public health, and health care. Public …

Background: As artificial intelligence (AI) approaches in research increase and AI becomes
more integrated into medicine, there is a need to understand perspectives from members of …

Purpose: Despite important recent work, US public attitudes toward specific biobank consent
models are not well understood. Public opinion data can help shape efforts to develop …

Background Opt-in consent is usually required for research, but is known to introduce
selection bias. This is a particular problem for large scale epidemiological studies using only …

Background: Engaging consumers in sharing information from personally controlled health
records (PCHRs) for health research may promote goals of improving care and advancing …

Background We aimed to synthesise data on issues related to stakeholder perceptions of
consent for the use of secondary data. To better understand the current literature available …

Background The development and implementation of electronic health records (EHRs)
remains an international challenge. Better understanding of patient and public attitudes and …