Background The increasing integration of digital health tools into care may result in a greater
flow of personal health information (PHI) between patients and providers. Although privacy …

Background Conventional consent practices face ethical challenges in continuously
evolving digital health environments due to their static, one-time nature. Dynamic consent …

Sensing technologies deployed in the workplace can unobtrusively collect detailed data
about individual activities and group interactions that are otherwise difficult to capture. A …

Abstract The Cooperative Health Research in South Tyrol (CHRIS) is a longitudinal study in
Northern Italy, using dynamic consent since its inception in 2011. The CHRIS study collects …

Background With new technologies, health data can be collected in a variety of different
clinical, research, and public health contexts, and then can be used for a range of new …

This paper explores some key discrepancies between two sets of normative requirements
applicable to the research use of personal data and human biological materials:(a) the data …

Human-centric computer vision (HCCV) data curation practices often neglect privacy and
bias concerns, leading to dataset retractions and unfair models. HCCV datasets constructed …

Myriad policy, ethical and legal considerations underpin the sharing of biological resources,
implying the need for standardised and yet flexible ways to digitally represent diverse 'use …

There has been keen interest in whether dynamic consent should be used in health
research but few real-world studies have evaluated its use. Australian Genomics piloted and …

The COVID-19 pandemic demonstrated the benefits of international data sharing. Data
sharing enabled the health care policy makers to make decisions based on real-time data, it …