The Genomic Medical Record and Omic Ancillary Systems

“Omic” data become increasingly clinically relevant for a variety of PPM goals such as personalized diagnosis, assessment of disease risk, or targeting appropriate medications and doses. EHRs today are designed to manage conventional clinical data and not omic data (i.e., they are not omic-enabled). The present chapter presents informatics challenges and solutions for omic data storage, analysis and use in clinical PPM workflows. Omic ancillary systems (OASs), in particular may serve these purposes. An OAS allows storage for large files containing results, as well as specialized tools and processing pipelines to aid in their interpretation. The chapter discusses Data and Knowledge Management, Display of Information, Implementation, Standards, as well as Ethical, and Health Economics challenges and considerations.

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