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ABSTRACT: Background
General practitioners (GPs) care for a large number of patients with various diseases in very short timeframes under high uncertainty. Thus, systems enabled by artificial intelligence (AI) are promising and time-saving solutions that may increase the quality of care.Objective
This study aims to understand GPs' attitudes toward AI-enabled systems in medical diagnosis.Methods
We interviewed 18 GPs from Germany between March 2020 and May 2020 to identify determinants of GPs' attitudes toward AI-based systems in diagnosis. By analyzing the interview transcripts, we identified 307 open codes, which we then further structured to derive relevant attitude determinants.Results
We merged the open codes into 21 concepts and finally into five categories: conc
SUBMITTER: Buck C
PROVIDER: S-EPMC8832268 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature