Open AccessNext-Generation Sequencing and the Clinical Oncology Workflow: Data Challenges, Proposed Solutions, and a Call to Action
Author(s) -
Jake R. Conway,
Jeremy L. Warner,
Wendy S. Rubinstein,
Robert S. Miller
Publication year - 2019
Publication title -
jco precision oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.405
H-Index - 22
ISSN - 2473-4284
DOI - 10.1200/po.19.00232
Subject(s) - workflow , data sharing , interoperability , computer science , data science , genomics , medicine , world wide web , genome , biology , alternative medicine , pathology , database , biochemistry , gene
Next-generation sequencing (NGS) of tumor and germline DNA is foundational for precision oncology, with rapidly expanding diagnostic, prognostic, and therapeutic implications. Although few question the importance of NGS in modern oncology care, the process of gathering primary molecular data, integrating it into electronic health records, and optimally using it as part of a clinical workflow remains far from seamless. Numerous challenges persist around data standards and interoperability, and clinicians frequently face difficulties in managing the growing amount of genomic knowledge required to care for patients and keep up to date.