Development and evaluation of an artificial intelligence-based workflow for the prioritization of patient portal messages.

Jie YangJonathan So Hao ZhangSimon JonesDenise M ConnollyClaudia GoldingEsmelin GriffesAdam C SzerencsyTzer Jason WuYindalon AphinyanaphongsVincent J Major

Published in: JAMIA open (2024)

Many patients utilize patient portal messages, and while most messages are routine, a small fraction describe alarming symptoms. Our AI-based workflow shortens the turnaround time to get a trained clinician to review these messages to provide safer, higher-quality care.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
case report
ejection fraction
healthcare
quality improvement
prognostic factors
palliative care
clinical practice
physical activity
sleep quality
patient reported outcomes
depressive symptoms
body composition
high intensity
health insurance