TY  - JOUR
T1  - Exploring Challenges and Enablers in Applying Automated Decision Support Systems for Genomic Data Access: A Qualitative Interview Study
A1  - Stephanie Best
A1  - Jerrin S. Long
A1  - Faris Leadbeatter
A1  - Amit Braithwaite
JF  - Asian Journal of Ethics in Health and Medicine
JO  - Asian J Ethics Health Med
SN  - 3108-5059
Y1  - 2023
VL  - 3
IS  - 1
DO  - 10.51847/QM2eCJ69fc
SP  - 115
EP  - 125
N2  - Data access committees (DAC) serve as gatekeepers for secured genomic and associated health datasets but face increasing difficulty in managing the growing scale and complexity of data production. Automated decision support (ADS) tools have demonstrated potential in enhancing consistency, compliance, and coordination during data access review processes. Despite this, little is known about how DAC members themselves view the added value of ADS in improving the quality and efficiency of their decision-making. This qualitative research draws on 13 semi-structured interviews with DAC members across multiple regions to explore barriers and facilitators to the adoption of ADS in genomic data access management. Participants expressed general support for pilot testing of ADS functions, such as classifying data types, validating user identities, and labeling datasets with usage terms. Nonetheless, reservations emerged around risks of excessive automation, insufficient human oversight, limited institutional prioritization, and potential conflicts with organizational missions, which tempered enthusiasm. Institutional pressures for change, alongside perceived relative advantages of ADS compared to current practices, strongly influenced DAC members’ considerations of implementation. Further investigation is required to strengthen the evidence base regarding the comparative effectiveness and decision outcomes between institutions that integrate ADS into their workflows and those that do not.
UR  - https://smerpub.com/article/exploring-challenges-and-enablers-in-applying-automated-decision-support-systems-for-genomic-data-ac-ksqige88dlsrkeb
ER  -