Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study.
Dan W JoyceAndrey KormilitzinJulia Hamer-HuntKevin R McKeeNenad TomasevPublished in: BMJ open (2024)
PARQAIR-MH aims to deliver a toolkit that will help to ensure that the specific needs of LGBTQI+ communities are accounted for in mental health applications of data-driven technologies. The study is expected to run from June 2024 through January 2025, with the final outputs delivered in mid-2025. Participants in the Delphi process will be recruited by snowball and opportunistic sampling via professional networks and social media (but not by direct approach to healthcare service users, patients, specific clinical services, or via clinicians' caseloads). Participants will not be required to share personal narratives and experiences of healthcare or treatment for any condition. Before agreeing to participate, people will be given information about the issues considered to be in-scope for the Delphi (eg, developing best practices and methods for collecting and harmonising sensitive characteristics data; developing guidelines for data use/reuse) alongside specific risks of unintended harm from participating that can be reasonably anticipated. Outputs will be made available in open-access peer-reviewed publications, blogs, social media, and on a dedicated project website for future reuse.
Keyphrases
- social media
- mental health
- healthcare
- health information
- artificial intelligence
- big data
- electronic health record
- wastewater treatment
- primary care
- machine learning
- end stage renal disease
- randomized controlled trial
- newly diagnosed
- minimally invasive
- mental illness
- deep learning
- chronic kidney disease
- climate change
- combination therapy
- current status