title: A use case study on late stent thrombosis for ontology-based temporal reasoning and analysis.
abstract: In this paper, we show how we have applied the Clinical Narrative Temporal Relation Ontology (CNTRO) and its associated temporal reasoning system (the CNTRO Timeline Library) to trend temporal information within medical device adverse event report narratives. 238 narratives documenting occurrences of late stent thrombosis adverse events from the Food and Drug Administration's (FDA) Manufacturing and User Facility Device Experience (MAUDE) database were annotated and evaluated using the CNTRO Timeline Library to identify, order, and calculate the duration of temporal events. The CNTRO Timeline Library had a 95% accuracy in correctly ordering events within the 238 narratives. 41 narratives included an event in which the duration was documented, and the CNTRO Timeline Library had an 80% accuracy in correctly determining these durations. 77 narratives included documentation of a duration between events, and the CNTRO Timeline Library had a 76% accuracy in determining these durations. This paper also includes an example of how this temporal output from the CNTRO ontology can be used to verify recommendations for length of drug administration, and proposes that these same tools could be applied to other medical device adverse event narratives in order to identify currently unknown temporal trends.
authors.affiliation: Boston Scientific Corporation, Maple Grove, MN USA.
authors.forename: Kim
authors.initials: K
authors.lastname: Clark
authors.affiliation: Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN USA.
authors.forename: Deepak
authors.initials: D
authors.lastname: Sharma
authors.affiliation: Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN USA.
authors.forename: Rui
authors.initials: R
authors.lastname: Qin
authors.affiliation: Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN USA.
authors.forename: Christopher G
authors.initials: CG
authors.lastname: Chute
authors.affiliation: Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN USA ; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX USA.
authors.forename: Cui
authors.initials: C
authors.lastname: Tao