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

Briefings in Bioinformatics
Khader ShameerJoel T Dudley

Abstract

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 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 d...Continue Reading

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Methods Mentioned

BETA
biosensors
exome sequencing
biosensor

Software Mentioned

Clinical Implementation of Personalized Medicine through Elect...
EHDViz
NoSQL
3DSwap
Analytics
PostgreSQL
dbGAP
UIMA
Elasticsearch
Elastic

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