The goal of this study is to explore the different attitudes and preconditions of potential end-users (doctors \& physicians in training) required to achieve successful clinical implementation of models based on artificial intelligence (i.e. both machine learning and knowledge-driven techniques) as clinical decision support software.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Baseline attitudes towards artificial intelligence and big data in medicine
Timeframe: baseline
Identify subdomains of the antimicrobial stewardship cycle with potential for AI/Big data application
Timeframe: through study completion, an average of 1 year
Identify perceived potential benefits and harms when applying AI in the antimicrobial stewardship cycle.
Timeframe: through study completion, an average of 1 year
Identify prerequisites that need to be fulfilled when AI/Big data based clinical decision support systems are used bedside from the viewpoint of the participants.
Timeframe: through study completion, an average of 1 year