![]() Develop capability for storage and analysis of raw genetic data.Transition genetic test reports from human readable text to structured data.Improve the use of genetic tests in clinical care.The PPMH and ISD Genomics team have established the ISD Genomics Governance Committee to address these issues and to collaboratively work toward improvements that will support three main goals: However, the task of structuring data in the EHR (while fundamental) is time-consuming, costly, and requires communication and coordination across clinical stakeholders with different use cases and multiple groups within the HCS ISD ecosystem. This severely limits the ability to use this data for computable decision support or for research. Genetic information is particularly challenging because genetic tests are most often sent to laboratories outside of UNC and results are provided as a human readable PDF file, and there is no existing data structure within which an individual’s variant data can be organized. Many aspects of the current installation of Epic within the UNC HCS can be leveraged for implementation and/or research, but other aspects cannot. ![]() The ability to use the rich data within health records for precision medicine approaches depends heavily on the structure of that data. Electronic health record IT infrastructure About:
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