Toward an Integrated Knowledge Environment to Support Modern Oncology

Authors

    Authors

    P. M. Blake; D. A. Decker; T. M. Glennon; Y. M. Liang; S. Losko; N. Navin;K. S. Suh

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Cancer J.

    Keywords

    Informatics; oncology; integration; knowledge environment; biomarkers; next-generation sequencing; patient; treatment; outcomes; ELECTRONIC HEALTH RECORDS; BREAST-CANCER; GENE-EXPRESSION; HUMAN GENOME; MEDICAL-RECORD; OVARIAN-CANCER; SEQUENCE; BIOMARKERS; CARE; BIOINFORMATICS; Oncology

    Abstract

    Around the world, teams of researchers continue to develop a wide range of systems to capture, store, and analyze data including treatment, patient outcomes, tumor registries, next-generation sequencing, single-nucleotide polymorphism, copy number, gene expression, drug chemistry, drug safety, and toxicity. Scientists mine, curate, and manually annotate growing mountains of data to produce high-quality databases, while clinical information is aggregated in distant systems. Databases are currently scattered, and relationships between variables coded in disparate datasets are frequently invisible. The challenge is to evolve oncology informatics from a "systems'' orientation of standalone platforms and silos into an "integrated knowledge environments'' that will connect "knowable'' research data with patient clinical information. The aim of this article is to review progress toward an integrated knowledge environment to support modern oncology with a focus on supporting scientific discovery and improving cancer care.

    Journal Title

    Cancer Journal

    Volume

    17

    Issue/Number

    4

    Publication Date

    1-1-2011

    Document Type

    Review

    Language

    English

    First Page

    257

    Last Page

    263

    WOS Identifier

    WOS:000293265100011

    ISSN

    1528-9117

    Share

    COinS