Predicting ICU transfers using text messages between nurses and doctors
Faiza Khan Khattak | Chloé Pou-Prom | Robert Wu | Frank Rudzicz
Proceedings of the 2nd Clinical Natural Language Processing Workshop
We explore the use of real-time clinical information, i.e., text messages sent between nurses and doctors regarding patient conditions in order to predict transfer to the intensive care unit(ICU). Preliminary results, in data from five hospitals, indicate that, despite being short and full of noise, text messages can augment other visit information to improve the performance of ICU transfer prediction.