Open AccessStandards-Based Clinical Decision Support Platform to Manage Patients Who Meet Guideline-Based Criteria for Genetic Evaluation of Familial Cancer
Author(s) -
Guilherme Del Fiol,
Wendy Kohlmann,
Richard L. Bradshaw,
Charlene Weir,
Michael Flynn,
Rachel Hess,
Joshua D. Schiffman,
Claude Nanjo,
Kensaku Kawamoto
Publication year - 2020
Publication title -
jco clinical cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 12
ISSN - 2473-4276
DOI - 10.1200/cci.19.00120
Subject(s) - clinical decision support system , guideline , medicine , interoperability , genetic counseling , epic , population , family medicine , cancer , health care , decision support system , genetic testing , computer science , world wide web , artificial intelligence , environmental health , pathology , art , literature , biology , economics , genetics , economic growth
The ubiquitous adoption of electronic health records (EHRs) with family health history (FHH) data provides opportunities for tailoring cancer screening strategies to individuals. We aimed to enable a standards-based clinical decision support (CDS) platform for identifying and managing patients who meet guidelines for genetic evaluation of hereditary cancer.