The accuracy of an electronic Pulmonary Embolism Severity Index auto-populated from the electronic health record
نویسنده
چکیده
D.R. Vinson1,2,3; J.E. Morley4; J. Huang3; V. Liu1,3,5; M.L. Anderson1,2; C. E. Drenten6; R.P. Radecki7; D.K. Nishijima4; M.E. Reed3; on behalf of the Kaisers Permanente CREST Network 1The Permanente Medical Group, Oakland, California; 2Department of Emergency Medicine, Kaiser Permanente Roseville Medical Center, Roseville, California; 3Kaiser Permanente Division of Research, Oakland, California; 4Department of Emergency Medicine, University of California Davis School of Medicine, Sacramento, California; 5Department of Pulmonary and Critical Care Medicine, Kaiser Permanente Santa Clara Medical Center, Santa Clara, California; 6Department of Emergency Medicine, Sutter General Medical Center, Sacramento, California; 7Department of Emergency Medicine, The University of Texas Medical School, Houston, Texas
منابع مشابه
The Accuracy of an Electronic Pulmonary Embolism Severity Index Auto-Populated from the Electronic Health Record: Setting the stage for computerized clinical decision support.
BACKGROUND The Pulmonary Embolism (PE) Severity Index identifies emergency department (ED) patients with acute PE that can be safely managed without hospitalization. However, the Index comprises 11 weighted variables, complexity that can impede its integration into contextual workflow. OBJECTIVE We designed a computerized version of the PE Severity Index (e-Index) to automatically extract the...
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