title: PathBot: A Radiology-Pathology Correlation Dashboard.
abstract: Pathology is considered the "gold standard" of diagnostic medicine. The importance of radiology-pathology correlation is seen in interdepartmental patient conferences such as "tumor boards" and by the tradition of radiology resident immersion in a radiologic-pathology course at the American Institute of Radiologic Pathology. In practice, consistent pathology follow-up can be difficult due to time constraints and cumbersome electronic medical records. We present a radiology-pathology correlation dashboard that presents radiologists with pathology reports matched to their dictations, for both diagnostic imaging and image-guided procedures. In creating our dashboard, we utilized the RadLex ontology and National Center for Biomedical Ontology (NCBO) Annotator to identify anatomic concepts in pathology reports that could subsequently be mapped to relevant radiology reports, providing an automated method to match related radiology and pathology reports. Radiology-pathology matches are presented to the radiologist on a web-based dashboard. We found that our algorithm was highly specific in detecting matches. Our sensitivity was slightly lower than expected and could be attributed to missing anatomy concepts in the RadLex ontology, as well as limitations in our parent term hierarchical mapping and synonym recognition algorithms. By automating radiology-pathology correlation and presenting matches in a user-friendly dashboard format, we hope to encourage pathology follow-up in clinical radiology practice for purposes of self-education and to augment peer review. We also hope to provide a tool to facilitate the production of quality teaching files, lectures, and publications. Diagnostic images have a richer educational value when they are backed up by the gold standard of pathology.
authors.affiliation: Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Road NW, Washington, DC, 20007, USA. Lkelahan2@gmail.com.
authors.forename: Linda C
authors.initials: LC
authors.lastname: Kelahan
authors.affiliation: Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Road NW, Washington, DC, 20007, USA.
authors.forename: Amit D
authors.initials: AD
authors.lastname: Kalaria
authors.affiliation: Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Road NW, Washington, DC, 20007, USA.|MedStar Medical Group Radiology, Washington, D.C, USA.
authors.forename: Ross W
authors.initials: RW
authors.lastname: Filice
mesh_terms: D000465:Algorithms; D017598:Efficiency, Organizational; D055991:Health Records, Personal; D006801:Humans; D061705:Image-Guided Biopsy; D016247:Information Storage and Retrieval / Q000379:methods*; D010336:Pathology; D011873:Radiology Information Systems; D014584:User-Computer Interface; D057188:Workflow
keywords: Dashboard; Medical records systems; RadLex; Radiology teaching files; Radiology workflow; Radiology-pathology correlation