What are patient perspectives on privacy and trust in digital genomic tools? A qualitative study
Vedika Jha, Saumeh Saeedi, Marc Clausen, Daniel Assamad, Sonya Grewal, Daena Hirjikaka, Whiwon Lee, Stephanie Luca, Angela Shaw, Robin Hayeems, Yvonne Bombard, Melyssa Aronson, Melyssa Aronson, Francois Bernier, Michael Brudno, June C. Carroll, Lauren Chad, Ronald Cohn

TL;DR
This study explores how patients feel about privacy and trust when using digital tools for genomic services.
Contribution
The study provides new insights into patient perspectives on privacy and trust in digital genomic tools.
Findings
Participants were willing to use digital platforms for storing genomic personal health information.
Patients valued transparency about security measures and who would access their data.
The perceived benefits of digital genomic services were seen as outweighing the risks.
Abstract
Digital tools have emerged as a promising solution to increase the efficiency and capacity of genomic services. However, accessing information through internet‐based applications raises concerns about privacy and security risks. As patient‐facing digital tools are developed for genomic medicine, it is vital to understand and incorporate patients' perspectives on digital privacy and security. A qualitative study was conducted using semi‐structured interviews and interpretive description. Thirty participants who previously received genetic testing for themselves (n = 17) or their child (n = 13) were interviewed (n = 20 females, n = 15 above 50 years old). Participants were willing to store and access genomics personal health information (PHI) in a patient‐facing digital platform. The main benefit identified by participants was the ability to access and control their own PHI. Participants…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsEthics in Clinical Research · Reproductive Health and Technologies · Law, AI, and Intellectual Property
