Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events
Conference Paper, Proceedings of American Medical Informatics Association Annual Symposium (AMIA '17), November, 2017
Abstract
Prediction of the cardiorespiratory instability (CRI) risk in monitored stepdown unit (SDU) patients may prepare clinical teams to anticipate CRI more accurately and respond sooner to improve outcome. Assuming anti-HTN is a surrogate for pre-existing hypertension, this analysis demonstrates the potential utility of leveraging the history of concomitant cardiovascular modulating therapies as an identifier in predicting future HTN-CRI events. Thus, dynamic information encoded in providers’ prescription order may be used to update the baseline prediction.
BibTeX
@conference{Wang-2017-121823,author = {Xuan Wang and Lujie Chen and Marilyn Hravnak and Gilles Clermont and Michael R. Pinsky and Artur Dubrawski},
title = {Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events},
booktitle = {Proceedings of American Medical Informatics Association Annual Symposium (AMIA '17)},
year = {2017},
month = {November},
}
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