Figure 1.

Flowchart of individualome—a health care and wellcare data model for incorporating biomedical, health care and wellness monitoring information with EMRs. Various health data streams can be integrated into a consolidated data model we call individualome. Standards for health care data from Table 2 are indicated at points of implementation. The individualome data can be used for various applications including diagnostics, prognostics and personalized clinical trials. The findings from these applications can be used to generate actionable recommendations, sharing with consumers how to best improve aspects of their health and mitigate personalized disease risks. Current diagnostics and prognostics are based on standard clinical data; by adding multi-omic data and continuous data from environment and personal health repositories, we will be able to build precision models of human health and disease and identify indolent/subclinical stages of disease.