Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams

Khader Shameer, Marcus A. Badgeley, Riccardo Miotto, Benjamin S. Glicksberg, Joseph W. Morgan, Joel T. Dudley
2016 Briefings in Bioinformatics  
Monitoring and modeling biomedical, health care and wellness data from individuals and converging data on a population scale have tremendous potential to improve understanding of the transition to the healthy state of human physiology to disease setting. Wellness monitoring devices and companion software applications capable of generating alerts and sharing data with health care providers or social networks are now available. The accessibility and clinical utility of such Khader Shameer is a
more » ... ior biomedical and health care informatics scientist in Dr Joel Dudley's laboratory and the Harris Center for Precision Wellness of the Mount Sinai Health System. Dr Khader is working at the interface of biomedical informatics, drug repositioning and genomic medicine and pioneering efforts to translate advances in translational bioinformatics to population health management and precision medicine. He obtained his MS in on the development and use of translational informatics approaches to address critical challenges in systems medicine. Dudley laboratory is involved in various projects for identification and development of novel therapeutic and diagnostic approaches for human disease through integration and analysis of health care, biomedical and wellness data, and also perform research to develop and evaluate methods to incorporate multiscale data including genomic sequencing data and wellness science into clinical practice. data for disease or wellness research are currently limited. Designing methods for streaming data capture, real-time data aggregation, machine learning, predictive analytics and visualization solutions to integrate wellness or health monitoring data elements with the electronic medical records (EMRs) maintained by health care providers permits better utilization. Integration of population-scale biomedical, health care and wellness data would help to stratify patients for active health management and to understand clinically asymptomatic patients and underlying illness trajectories. In this article, we discuss various health-monitoring devices, their ability to capture the unique state of health represented in a patient and their application in individualized diagnostics, prognosis, clinical or wellness intervention. We also discuss examples of translational bioinformatics approaches to integrating patient-generated data with existing EMRs, personal health records, patient portals and clinical data repositories. Briefly, translational bioinformatics methods, tools and resources are at the center of these advances in implementing real-time biomedical and health care analytics in the clinical setting. Furthermore, these advances are poised to play a significant role in clinical decision-making and implementation of datadriven medicine and wellness care.
doi:10.1093/bib/bbv118 pmid:26876889 pmcid:PMC5221424 fatcat:aqurlfusq5hslpabllsfmygk6m