medRxivJClub
Quality of physicians responses using a conversational artificial intelligence system: a randomized vignette experiment in Latin America
medRxiv · · Preprint · Open access
Castano-Villegas, Monsalve + 4 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Physicians using conversational AI in Latin America achieved significantly higher validity scores (median 2.83 vs. 2.46) than usual search methods in clinical case responses.
- Why it matters: Improving point-of-care information retrieval is crucial for enhancing clinical decision-making, especially in low- and middle-income settings where evidence-based resources are limited.
- What they did: A randomized vignette experiment involved 71 physicians answering four simulated cases with or without AI support, scored across six dimensions by blinded specialists, totaling 1,136 responses.
- The result: AI-supported physicians were more likely to meet validity thresholds, with higher median scores and an odds ratio of 3.61, indicating the system's potential to improve response quality in clinical practice.
The findingWhy it mattersWhat they didThe result
- Open access