Although research in biomedical informatics has addressed issues in clinical medicine and public health for 50 years, with a resulting health information technology industry that today is burgeoning, many of the systems, methodologies, and processes are facing new challenges in the era of genomic medicine. These new issues must be addressed through the evolution of entrenched systems (e.g., electronic health records), decision-support capabilities (e.g., guidance in the use and interpretation of genetic testing), interoperability and unification of systems (e.g., data integration not only among populations of patients but between clinical and genomic datasets), data policies (e.g., mandates regarding patient data confidentiality), and data analytic methods (e.g., methods for managing much greater volumes and complexity of data relevant to clinical care and public health). This talk will review some of these issues in the context of the evolution of the field of biomedical informatics and its relationship to translational bioinformatics, “big data”, and the future of patient care and public health.

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