Standards-Based Informatics Infrastructure to Identify and Manage Patients Eligible for Genetic Evaluation of Familial Cancer Risk
Dr. Kim Kaphingst and Dr. Guilherme Del Fiol will describe a clinical decision support platform for identifying and managing patients who meet guidelines for genetic evaluation of hereditary cancer based on family health history in the electronic health record (EHR). They will share the results of a study that piloted this application at the Huntsman Cancer Institute at the University of Utah and discuss barriers and facilitators to EHR integration, as well as the potential sharing of informatics infrastructure with other sites and studies.
Dr. Kaphingst is a principal investigator and Dr. Del Fiol is a co-investigator for a U01 funded under the NCI's RFA, Approaches to Identify and Care for Individuals with Inherited Cancer Syndromes (RFA-CA-17-041), associated with the Cancer Moonshot℠ initiative.
This webinar is hosted by the Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences.
Dr. Kaphingst is a professor of communications at the University of Utah.
Dr. Guilherme Del Fiol is an associate professor and Vice Chair of Research at the University of Utah’s Department of Biomedical Informatics.
Upcoming Events
- Cancer Research Data Commons and Other NCI Infrastructures in Support of Data ScienceSeptember 19, 2021AttentiveChrome: Deep Learning for Predicting Gene Expression from Histone ModificationsSeptember 22, 2021“Le Grand et Le Petit”: Splicing Factors SF3B1 and SUGP1 and Their Cancer Mutations Leading to Aberrant Acceptor UsageSeptember 22, 2021The Future of Clinical Trial Data Sharing.... The Art of The PossibleSeptember 23, 2021Genomic Data Commons Single Cell RNA-Seq SupportSeptember 27, 2021Virtual Workshop on Next-Generation Sequencing and Radiomics: Resource Requirements for Acceleration of Clinical Applications Including AISeptember 29, 2021 - September 30, 2021