Last year, the Journal of the American Medical Informatics Association ran an article about post-operative nausea, showing that by looking at the right data beforehand, providers can sometimes prevent or ease that misery for their surgical patients. While existing nausea-prediction models only use patient characteristics and medical history, which can't be changed, the authors identified several points where the choice of anesthetic or pre- and post-op medications had a clear effect on the patient's level of nausea. They suggested eventually building their model into decision support for anesthesia systems.
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