Ensures the protection of privacy through the use of privacy enhancing features – embedding them into the design specifications of systems, organizational practices and procedures, and physical environments – making privacy the default.
Published in Chapter:
Ethics and Privacy Considerations for Systems Biology Applications in Predictive and Personalized Medicine
Jake Y. Chen (Indiana Center for Systems Biology and Personalized Medicine, USA; Indiana University, USA & Purdue University, USA), Heng Xu (The Pennsylvania State University, USA), Pan Shi (The Pennsylvania State University, USA), Adam Culbertson (Indiana University, USA), and Eric M. Meslin (Indiana University Center for Bioethics, USA & Indiana University, USA)
Copyright: © 2011
|Pages: 27
DOI: 10.4018/978-1-60960-491-2.ch001
Abstract
Integrative analysis and modeling of the omics data using systems biology have led to growing interests in the development of predictive and personalized medicine. Personalized medicine enables future physicians to prescribe the right drug to the right patient at the right dosage, by helping them link each patient’s genotype to their specific disease conditions. This chapter shares technological, ethical, and social perspectives on emerging personalized medicine applications. First, it examines the history and research trends of pharmacogenomics, systems biology, and personalized medicine. Next, it presents bioethical concerns that arise from dealing with the increasing accumulation of biological samples in many biobanking projects today. Lastly, the chapter describes growing concerns over patient privacy when large amount of individuals’ genetic data and clinical data are managed electronically and accessible online.