Section for Medical Expert and Knowledge-Based Systems, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
J Am Med Inform Assoc. 2013 May 1;20(3):409-12. doi: 10.1136/amiajnl-2012-001275. Epub 2013 Jan 23.
A sizable fraction of patients experiences adverse drug events or lack of drug efficacy. A part of this variability in drug response can be explained by genetic differences between patients. However, pharmacogenomic data as well as computational clinical decision support systems for interpreting such data are still unavailable in most healthcare settings. We address this problem by introducing the medicine safety code (MSC), which captures compressed pharmacogenomic data in a two-dimensional barcode that can be carried in a patient's wallet. We successfully encoded data about 385 genetic polymorphisms in MSC and were able to decode and interpret MSC quickly with common mobile devices. The MSC could make individual pharmacogenomic data and decision support available in a wide variety of healthcare settings without the set up of large-scale infrastructures or centralized databases.
相当一部分患者会经历药物不良反应或药物疗效不佳。药物反应的这种可变性部分可以通过患者之间的遗传差异来解释。然而，在大多数医疗保健环境中，仍然缺乏药物基因组学数据以及用于解释此类数据的计算临床决策支持系统。我们通过引入药物安全码（MSC）来解决这个问题，它将压缩的药物基因组学数据编码在二维条码中，可以放在患者的钱包里。我们成功地在 MSC 中编码了大约 385 种遗传多态性的数据，并能够使用常见的移动设备快速解码和解释 MSC。MSC 可以在各种医疗保健环境中提供个体药物基因组学数据和决策支持，而无需建立大规模基础设施或集中式数据库。
