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ABSTRACT: Importance
Limited sharing of data sets that accurately represent disease and patient diversity limits the generalizability of artificial intelligence (AI) algorithms in health care.Objective
To explore the factors associated with organizational motivation to share health data for AI development.Design, setting, and participants
This qualitative study investigated organizational readiness for sharing health data across the academic, governmental, nonprofit, and private sectors. Using a multiple case studies approach, 27 semistructured interviews were conducted with leaders in data-sharing roles from August 29, 2022, to January 9, 2023. The interviews were conducted in the English language using a video conferencing platform. Using a purposive and nonprobabilistic sa
SUBMITTER: Youssef A
PROVIDER: S-EPMC10731479 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature