Presentation Type: Poster Session
Method: In a highly iterative and collaborative process, our team of dentists, informaticians, ontologists and clinical dental researchers developed a pilot process for extracting clinical data from Eaglesoft, a commercial EDR. We defined a set of research questions focused on restorative dentistry; constructed the Oral Health and Disease Ontology (OHD) to represent the study variables; developed mappings for the data; and created a knowledge base that used the OHD to represent clinical data.
Result: We represented data from about 4,500 patients from a single dental practice in our knowledge base. We extracted 232,270 clinical records, of which about 54,000 documented restorative, endodontic and surgical procedures. Currently, the OHD includes 213 classes and reuses 1,658 classes from other ontologies. Most of the classes created de novo were related to procedures, visits, exams and CDT codes that were not available in existing biomedical ontologies. We have developed an initial set of queries to extract data about patients, teeth, surfaces, restorations, and findings, and are currently in the process of conducting initial statistical analyses of the data.
Conclusion: Our study is a novel application of an ontology-based approach to develop a generalizable method for extracting and reusing data from EDRs. Further work will establish a complete, open and reproducible workflow for reusing data from a variety of EDRs for research and quality assurance.
Keywords: Clinical trials, Computers, Health services research, Outcome (Health) and dental informatics
See more of: Behavioral, Epidemiologic, and Health Services Research