Publication-only abstracts (abstract number preceded by an "e"), published in conjunction with the 2018 ASCO Annual Meeting but not presented at the Meeting, can be found online only.
Design and implementation of a multipurpose BRIDG-harmonized information system at an academic cancer center.
Health Services Research, Clinical Informatics, and Quality of Care
2018 ASCO Annual Meeting
J Clin Oncol 36, 2018 (suppl; abstr e18602)
Author(s): Thomas R. Klumpp, Joseph Neff, Dania Beadle, Dolores Grosso, Nicholas DeGregorio, Nicholas VanKuren, Christine Bonaccorso, Pierluigi Porcu, Mouneer Odeh; Thomas Jefferson University, Philadelphia, PA; Sidney Kimmel Cancer Center, Philadelphia, PA
Background: Informatics infrastructures at most academic cancer centers consist of a largely random amalgamation of poorly documented, inadequately quality-assured, minimally intercommunicating, and often duplicative data repositories, including electronic medical record systems, protocol management systems, laboratory information systems, ad hoc spreadsheets for research projects, etc. The lack of a well-organized infrastructure increases cost and decreases productivity associated with multiple cancer-related activities, and constitutes a significant barrier to collaborative research both within and between institutions, in large part because the various data repositories are nearly always based on different underlying data models. To address these issues, the National Cancer Institute and its collaborators developed a broad-based data model called the Biomedical Research Integrated Domain Group (BRIDG) model. A primary purpose of the BRIDG model is to provide an international standard data model to facilitate collaborative cancer research both within and between institutions. Methods: Over the past four years the Cancer Bioinformatics team at the Thomas Jefferson University Sidney Kimmel Cancer Center has designed and implemented the first iteration of a highly quality-assured, multipurpose, BRIDG-harmonized cancer research information system. Results: Cost reduction and productivity enhancement are beginning to be achieved by consolidating multiple data capturing, data cleaning, and data retrieval efforts for multiple patient care, teaching, research, administrative, and regulatory activities. Conclusions: The NCI-sponsored BRIDG model can be instantiated into a multipurpose academic cancer information system that can reduce costs and increase productivity by combining data capturing, data cleaning, and data retrieval for multiple patient care, teaching, research, and administrative activities simultaneously. To our knowledge, this is the first BRIDG-harmonized multipurpose cancer research information system instantiated at a U.S. academic Cancer Center.