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Identifying Emergency Department Symptom-Based Diagnoses With The Unified Medical Language System., Benjamin H. Slovis, Danielle M. Mccarthy, Garrison Nord, Amanda Doty, Katherine Piserchia, Kristin L. Rising
Identifying Emergency Department Symptom-Based Diagnoses With The Unified Medical Language System., Benjamin H. Slovis, Danielle M. Mccarthy, Garrison Nord, Amanda Doty, Katherine Piserchia, Kristin L. Rising
Department of Emergency Medicine Faculty Papers
INTRODUCTION: Many patients who are discharged from the emergency department (ED) with a symptom-based discharge diagnosis (SBD) have post-discharge challenges related to lack of a definitive discharge diagnosis and follow-up plan. There is no well-defined method for identifying patients with a SBD without individual chart review. We describe a method for automated identification of SBDs from ICD-10 codes using the Unified Medical Language System (UMLS) Metathesaurus.
METHODS: We mapped discharge diagnosis, with use of ICD-10 codes from a one-month period of ED discharges at an urban, academic ED to UMLS concepts and semantic types. Two physician reviewers independently manually identified …
Identification Of Emergency Care-Sensitive Conditions And Characteristics Of Emergency Department Utilization., Anita A. Vashi, Tracy Urech, Brendan Carr, Liberty Greene, Theodore Warsavage, Renee Hsia, Steven M. Asch
Identification Of Emergency Care-Sensitive Conditions And Characteristics Of Emergency Department Utilization., Anita A. Vashi, Tracy Urech, Brendan Carr, Liberty Greene, Theodore Warsavage, Renee Hsia, Steven M. Asch
Department of Emergency Medicine Faculty Papers
Importance: Monitoring emergency care quality requires understanding which conditions benefit most from timely, quality emergency care.
Objectives: To identify a set of emergency care-sensitive conditions (ECSCs) that are treated in most emergency departments (EDs), are associated with a spectrum of adult age groups, and represent common reasons for seeking emergency care and to provide benchmark national estimates of ECSC acute care utilization.
Design, Setting, and Participants: A modified Delphi method was used to identify ECSCs. In a cross-sectional analysis, ECSC-associated visits by adults (aged ≥18 years) were identified based on International Statistical Classification of Diseases, Tenth Revision, Clinical Modification diagnosis …