A novel multimodal machine learning model significantly enhanced delirium risk stratification in hospitalized older adults. Validation outcomes revealed an impressive area under the curve of 0.94, with monthly delirium detection rates soaring from 4.42% to 17.17% following model deployment. Moreover, the post-deployment cohort experienced reduced daily doses of benzodiazepines and olanzapine, indicating potential improvements in patient care and resource optimization during hospital stays.
Journal Article by Friedman JI, Parchure P (…) Kia A et 10 al. in JAMA Netw Open