To achieve the goal of personalized medicine, advances in healthcare information technology (HIT) must be accompanied by similar advances in data analysis and translation into clinical care. For healthcare providers and their patients, advances in genomics and other related fields must be captured by sophisticated decision support systems that integrate information from multiple sources of data and facilitate their use in the clinic. In addition to addressing privacy concerns, regulators will also need to work toward establishing evidentiary standards for the use of data from electronic clinical sources in areas such as comparative effectiveness and safety, while addressing the complexity behind the genetic basis of the exceptions to their general findings. Overall, the increased use of HIT will allow for a more integrated, efficient system for collecting and analyzing clinical data, providing a fruitful environment for hypothesis testing and generation, as well as leading to more personalized and effective healthcare.
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