Roadmap to a Comprehensive Clinical Data Warehouse for Precision Medicine Applications in Oncology

Author:

Foran David J12,Chen Wenjin12,Chu Huiqi12,Sadimin Evita12,Loh Doreen1,Riedlinger Gregory12,Goodell Lauri A2,Ganesan Shridar1,Hirshfield Kim1,Rodriguez Lorna1,DiPaola Robert S3

Affiliation:

1. Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA

2. Department of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA

3. College of Medicine, University of Kentucky, Lexington, KY, USA

Abstract

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.

Publisher

SAGE Publications

Subject

Cancer Research,Oncology

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