Presenting Artificial Intelligence Predictions Based on Electronic Medical Records to Clinicians in Hospitals: A Systematic Review.
systematic_review · Level I
Where this comes from
- Record sourced from PubMed, PMID 40397633.
- Also identified by DOI 10.1109/JBHI.2025.3572494.
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Abstract
Our objective was to investigate how artificial intelligence (AI) predictions calculated on structured hospital data are presented to clinicians. We performed a systematic review of 5 databases and 9 other reviews, identifying 31 studies on 21 implemented clinical AI systems. We report current approaches to presenting AI predictions to clinicians, whether and how interaction on the user interface (UI) is used, how UIs have been evaluated and the extent to which clinicians have been involved in UI design and testing. The results indicate variation across systems in presentation content and styles, evaluation methods, and interaction approaches. Half of the systems implemented a co-design approach to UI development. Our findings provide valuable insights for future AI-based clinical decision support system designers, clinical AI researchers and healthcare organisations seeking to implement clinical AI solutions.
Medical subject headings
- Electronic Health Records
- Artificial Intelligence
- Decision Support Systems, Clinical