title: An ontology-based method for secondary use of electronic dental record data.
abstract: A key question for healthcare is how to operationalize the vision of the Learning Healthcare System, in which electronic health record data become a continuous information source for quality assurance and research. This project presents an initial, ontology-based, method for secondary use of electronic dental record (EDR) data. We defined a set of dental clinical research questions; constructed the Oral Health and Disease Ontology (OHD); analyzed data from a commercial EDR database; and created a knowledge base, with the OHD used to represent clinical data about 4,500 patients from a single dental practice. Currently, the OHD includes 213 classes and reuses 1,658 classes from other ontologies. We have developed an initial set of SPARQL queries to allow extraction of data about patients, teeth, surfaces, restorations and findings. Further work will establish a complete, open and reproducible workflow for extracting and aggregating data from a variety of EDRs for research and quality assurance.
authors.affiliation: Center for Dental Informatics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA.
authors.forename: Titus Kl
authors.initials: TK
authors.lastname: Schleyer
authors.forename: Alan
authors.initials: A
authors.lastname: Ruttenberg
authors.forename: William
authors.initials: W
authors.lastname: Duncan
authors.forename: Melissa
authors.initials: M
authors.lastname: Haendel
authors.forename: Carlo
authors.initials: C
authors.lastname: Torniai
authors.forename: Amit
authors.initials: A
authors.lastname: Acharya
authors.forename: Mei
authors.initials: M
authors.lastname: Song
authors.forename: Thankam P
authors.initials: TP
authors.lastname: Thyvalikakath
authors.forename: Kaihong
authors.initials: K
authors.lastname: Liu
authors.forename: Pedro
authors.initials: P
authors.lastname: Hernandez