Modeling physician variability to prioritize relevant medical record information.
Patient information can be retrieved more efficiently in electronic medical record (EMR) systems by using machine learning models that predict which information a physician will seek in a clinical context. However, information-seeking behavior varies across EMR users. To explicitly account for this variability, we derived hierarchical models and compared their performance to nonhierarchical models in identifying relevant patient information in intensive care unit (ICU) cases.
Author(s): Tajgardoon, Mohammadamin, Cooper, Gregory F, King, Andrew J, Clermont, Gilles, Hochheiser, Harry, Hauskrecht, Milos, Sittig, Dean F, Visweswaran, Shyam
DOI: 10.1093/jamiaopen/ooaa058