Genomics is at the forefront of clinical decision support because the
data are inherently computable and therefore could be provided as supporting
information at the point of care, […].
Clinical decision support provides a better opportunity for physicians and
patients to use genomic data than either could have when the information
is solely contained in paper format. Validating the algorithms that are
being used to guide practice will be important, Ginsburg said. Aronson
said that today’s in silico prediction algorithms are “extremely noisy,” so
that “you wouldn’t want to base a significant clinical decision on one of
those algorithms alone.” Validating these algorithms will require measuring
outcomes, said Scott Moss, who leads the research informatics
research-and-development team at Epic. (p57)
Institute of Medicine. Genomics-Enabled Learning Health Care Systems: Gathering and Using Genomic Information to Improve Patient Care and Research: Workshop Summary. Washington, DC: The National Academies Press, 2015
This report is rich with a number of other interesting points for reflection.