In this work, we propose to mine and represent the associations among medical findings in an informative knowledge graph and incorporate this prior knowledge with radiology report generation to help improve the quality of generated reports.
In their recent article, “Risk prediction of delirium in hospitalized patients using machine learning…
The neuroacoustic basis of prosodic (emphatic or contrastive) stress production was assessed in normals and patients with left and right brain damage (LBD, RBD).
National trends and estimates of the proportion of patients receiving craniotomy or DC for ASDH in the United States are unknown. Given the paucity of data, the goal of this retrospective cohort study is to characterize the surgical management of ASDH in the United States. In addition, we sought to determine the independent association of DC for ASDH, compared to craniotomy, on hospital mortality.
We identified a significant number of encounters where provider EHR documentation was available at the time of image order entry applicable to order requisitions as well as CDS rules and exclusion criteria. Significantly more concepts relevant to headache were extracted from notes compared to order requisitions.
An Ideal Care System should incorporate fundamental elements of control engineering, such as effective and data-driven sensing, computation, actuation, and feedback.
We describe each of these emerging health technologies and their future opportunities for enhancing population health.
Compare documentation of relevant clinical information in electronic health record (EHR) provider note to computed tomography (CT) order requisition, prior to ordering of head CT for emergency department (ED) patients presenting with headache.
The Cognitive Disorders Integrated Practice Unit at the Mulva Clinic for the Neurosciences is among the first to combine value-based and collaborative care models to deliver dementia care.