Examining human-AI interaction in real-world healthcare beyond the laboratory.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 40108434.
- Also identified by DOI 10.1038/s41746-025-01559-5 and PMC identifier 11923224.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Artificial Intelligence (AI) is revolutionizing healthcare, but its true impact depends on seamless human interaction. While most research focuses on technical metrics, we lack frameworks to measure the compatibility or synergy of real-world human-AI interactions in healthcare settings. We propose a multimodal toolkit combining ecological momentary assessment, quantitative observations, and baseline measurements to optimize AI implementation.