Leading institutions throughout the country have established Precision Medicine programs to support personalized treatment of patients. A cornerstone for these programs is the establishment of enterprise-wide Clinical Data Warehouses. Working shoulder-to-shoulder, a team of physicians, systems biologists, engineers, and scientists at Rutgers Cancer Institute of New Jersey have designed, developed, and implemented the Warehouse with information originating from data sources, including Electronic Medical Records, Clinical Trial Management Systems, Tumor Registries, Biospecimen Repositories, Radiology and Pathology archives, and Next Generation Sequencing services. Innovative solutions were implemented to detect and extract unstructured clinical information that was embedded in paper/text documents, including synoptic pathology reports. Supporting important precision medicine use cases, the growing Warehouse enables physicians to systematically mine and review the molecular, genomic, image-based, and correlated clinical information of patient tumors individually or as part of large cohorts to identify changes and patterns that may influence treatment decisions and potential outcomes.
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The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by Hugs for Brady, The Val Skinner Foundation, and the National Institutes of Health through contracts P30CA072720, 5R01CA156386-10, and 7R01CA161375-06 from the National Cancer Institute; and contract 4R01LM009239-08 from the National Library of Medicine. Additional support was provided by a generous gift to the Genetics Diagnostics to Cancer Treatment Program of the Rutgers Cancer Institute of New Jersey and Rutgers University Cell and DNA Repository Infinite Biologics.
Foran, David J.; Chen, Wenjin; Chu, Huiqi; Sadimin, Evita; Loh, Doreen; Riedlinger, Gregory; Goodell, Lauri A.; Ganesan, Shridar; Hirshfield, Kim; Rodriguez, Lorna; and DiPaola, Robert S., "Roadmap to a Comprehensive Clinical Data Warehouse for Precision Medicine Applications in Oncology" (2017). Internal Medicine Faculty Publications. 111.