Dr. Kannry and co-editor Marc Williams, MD FACMG, director of the Genomic Medicine Institute, Geisinger Health System, Danville, Pa., steered the effort to organize contributions and together wrote the lead editorial. In it they state that, "Successfully integrating genomics into clinical care requires a vision, a strategy that will achieve the vision, and an actionable implementation plan." The case studies provided in this special issue outline the following challenges and potential solutions:
How can genomics be meaningfully incorporated into routine healthcare? [Hartzler et al. doi: GIM.2013.127] describe how a broad range of parties, including institutional leadership, physicians, information technology staff, and patients must be included in the conversation if genomic medicine is to be successful. The article describes different ways to ensure support systems are in place when launching a genomic medicine project.
How will genomic data be stored, processed, updated and retrieved? [citation: Kho et al. doi: GIM.2013.131] examine data currently captured in EHR systems and compare that to genomic data. They look forward to the need for long-term storage and retrieval and how data can be accessed and compared across time and in changing clinical circumstances.
Likewise, [Chute et al. doi: gim.2013.121] discuss the opportunities for large data sets of genomic information to help detect new genomic risk factors and clinically important information not possible until recently. They identify gaps in standards for coding and transmission of data and propose solutions.
How will genomic data first be used to help patients?
We already know that genomic data can be used to predict response to drugs. Many of the most commonly prescribed drugs, such as the blood thinner warfarin and the statin drug
|Contact: Kathy Ridgely Beal|
American College of Medical Genetics