Question answering systems for health professionals at the point of care-a systematic review.
Gregory KellAngus RobertsSerge UmanskyLinglong QianDavide FerrariFrank SoboczenskiByron C WallaceNikhil PatelIain James MarshallPublished in: Journal of the American Medical Informatics Association : JAMIA (2024)
While machine learning methods have led to increased accuracy, most studies imperfectly reflected real-world healthcare information needs. Key research priorities include developing more realistic healthcare QA datasets and considering the reliability of answer sources, rather than merely focusing on accuracy.