Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence-Enabled Clinical Decision Support Systems: Literature Review.
Michael KnopSebastian WeberMarius MuellerBjoern NiehavesPublished in: JMIR human factors (2022)
Our study provides a comprehensive overview of the relevant characteristics and factors that influence the interaction and collaboration between medical professionals and AI-enabled CDSSs. Rather limited theoretical foundations currently hinder the possibility of creating adequate concepts and models to explain and predict the interrelations between these characteristics and factors. For an appropriate evaluation of the human-AI collaboration, patient outcomes and the role of patients in the decision-making process should be considered.
Keyphrases
- artificial intelligence
- endothelial cells
- clinical decision support
- machine learning
- big data
- deep learning
- end stage renal disease
- decision making
- healthcare
- induced pluripotent stem cells
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- electronic health record
- case report