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Real-World Outcomes of an Automated Physician Support System for Genome-Driven Oncology
Author(s) -
Jessica J. Tao,
Michael Eubank,
Alison M. Schram,
Nicholas A. Cangemi,
Erika G. Pamer,
Ezra Rosen,
Nikolaus Schultz,
Debyani Chakravarty,
John Philip,
Jaclyn F. Hechtman,
James J. Harding,
Lillian M. Smyth,
Komal Jhaveri,
Alexander Drilon,
Marc Ladanyi,
David B. Solit,
Ahmet Zehir,
Michael F. Berger,
Peter D. Stetson,
Stuart M. Gardos,
David M. Hyman
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.19.00066
Subject(s) - interquartile range , medicine , clinical trial , precision medicine , identification (biology) , informatics , oncology , clinical endpoint , pathology , biology , botany , electrical engineering , engineering
Matching patients to investigational therapies requires new tools to support physician decision making. We designed and implemented Precision Insight Support Engine (PRECISE), an automated, just-in-time, clinical-grade informatics platform to identify and dynamically track patients on the basis of molecular and clinical criteria. Real-world use of this tool was analyzed to determine whether PRECISE facilitated enrollment to early-phase, genome-driven trials.

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