Ontology highlight
ABSTRACT: Objective
To develop a collection of concept-relationship-concept tuples to formally represent patients' care context data to inform electronic health record (EHR) development.Materials and methods
We reviewed semantic relationships reported in the literature and developed a manual annotation schema. We used the initial schema to annotate sentences extracted from narrative note sections of cardiology, urology, and ear, nose, and throat (ENT) notes. We audio recorded ENT visits and annotated their parsed transcripts. We combined the results of each annotation into a consolidated set of concept-relationship-concept tuples. We then compared the tuples used within and across the multiple data sources.Results
We annotated a total of 626 sentences. Starting with 8 relatio
SUBMITTER: Colicchio TK
PROVIDER: S-EPMC7671623 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature