title: Evaluating Terminologies to Enable Imaging-Related Decision Rule Sharing.
abstract: Purpose: Clinical decision support tools provide recommendations based on decision rules. A fundamental challenge regarding decision rule-sharing involves inadequate expression using standard terminology. We aimed to evaluate the coverage of three standard terminologies for mapping imaging-related decision rules.Methods: 50 decision rules, randomly selected from an existing library, were mapped to Systemized Nomenclature of Medicine (SNOMED CT), Radiology Lexicon (RadLex) and International Classification of Disease (ICD-10-CM). Decision rule attributes and values were mapped to unique concepts, obtaining the best possible coverage with the fewest concepts. Manual and automated mapping using Clinical Text Analysis and Knowledge Extraction System (cTAKES) were performed.Results: Using manual mapping, SNOMED CT provided the greatest concept coverage (83%), compared to RadLex (36%) and ICD-10-CM (8%) (p<0.0001). Combined mapping had 86% concept coverage. Automated mapping achieved 85% mapping coverage vs. 94% with manual mapping (p<0.001).Conclusion: Although some gaps remain, standard terminologies provide ample coverage for mapping imaging- related evidence.
authors.affiliation: Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA.
authors.forename: Zihao
authors.initials: Z
authors.lastname: Yan
authors.affiliation: Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA.
authors.forename: Ronilda
authors.initials: R
authors.lastname: Lacson
authors.affiliation: Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, MA; Department of Medicine, Brigham and Women's Hospital, MA; Harvard Medical School, Boston, MA.
authors.forename: Ivan
authors.initials: I
authors.lastname: Ip
authors.affiliation: Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA.
authors.forename: Vladimir
authors.initials: V
authors.lastname: Valtchinov
authors.affiliation: Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, MA; Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA.
authors.forename: Ali
authors.initials: A
authors.lastname: Raja
authors.affiliation: Countway Medical Library, Boston, MA; Harvard Medical School, Boston, MA.
authors.forename: David
authors.initials: D
authors.lastname: Osterbur
authors.affiliation: Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, MA; Department of Radiology, Brigham and Women's Hospital, MA; Harvard Medical School, Boston, MA.
authors.forename: Ramin
authors.initials: R
authors.lastname: Khorasani
mesh_terms: D020000:Decision Support Systems, Clinical; D003661:Decision Support Techniques; D006801:Humans; D016247:Information Storage and Retrieval; D038801:International Classification of Diseases; D009323:Natural Language Processing; D011859:Radiography / Q000145:classification; D011871:Radiology; D011873:Radiology Information Systems; D039061:Systematized Nomenclature of Medicine; D018875:Vocabulary, Controlled