000007652 001__ 7652
000007652 005__ 20250424233245.0
000007652 0247_ $$2DOI$$a10.6083/m4p55n2d
000007652 037__ $$aETD
000007652 245__ $$aBuilding a large public database of de-identified electrocardiogram data from a single emergency department
000007652 260__ $$bOregon Health and Science University
000007652 269__ $$a2017
000007652 336__ $$aCapstone
000007652 502__ $$bM.B.I.
000007652 502__ $$gBiomedical Informatics
000007652 520__ $$aThis summary describes the creation of a publically-available database of over 80,000 electrocardiogram (ECG) tracings obtained from patients treated in a single emergency department in a three year period. It describes the process of obtaining the files from the clinical ECG database, processing the text of the electrocardiogram reads, and classifying the findings within the ECGs against a preexisting terminology standard. Future work includes using the qualitative method of thematic analysis to identify categories of concepts not expressed fully in the terminology standard. The issues and methodology of de-identification to prepare the database for public release are discussed.
000007652 542__ $$fIn copyright - single owner
000007652 650__ $$aAdult$$014319
000007652 650__ $$aEmergency Medicine$$018351
000007652 650__ $$aElectrocardiography$$018280
000007652 650__ $$aDatabases, Factual$$028965
000007652 691__ $$aSchool of Medicine$$041369
000007652 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000007652 7001_ $$aGelman, David$$uOregon Health and Science University$$041354
000007652 7201_ $$aHersh, William$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000007652 8564_ $$95556ef58-8e6b-48d6-8e27-be76b2d7d78f$$s728767$$uhttps://digitalcollections.ohsu.edu/record/7652/files/Gelman.David.2017.pdf$$ePublic$$2beea53b3593a632c2f7b6573153ce97b$$31
000007652 905__ $$a/rest/prod/25/14/nm/10/2514nm109
000007652 909CO $$ooai:digitalcollections.ohsu.edu:7652$$pstudent-work
000007652 980__ $$aTheses and Dissertations