Authors: C. Donald Combs
The Digital Patient is a technological platform that has the potential to transform personal and public health care, as well as pharmaceutical and device development and testing, research, and patient and professional education. It is the ultimate Big Data project in healthcare; however, its power will derive not from the volume of data, but from the integration of disparate sources of data into valid and reliable information?about biological processes, social context and treatment efficacy. That integration, in turn, is largely dependent on the evolving theoretical approach known as systems biology and the successful meshing of multi-scale models. This paper provides an overview of the digital patient, the domains of systems biology and multi-scale modeling and the implications for personalized medicine.