Special Issue: Big Data for Health

Special Issue: Big Data for Health 780 435 Journal of Biomedical and Health Informatics (JBHI)

R. Atun, Y. Lussier, C. Poon, S. T. C. Wong, and G.-Z. Yang

Development in the fields of biomedical and health informatics are driving major expansion in big-data, not only because of the sheer volume of information generated, but also due to the complexity, diversity, and the rich context of the data that encompasses discoveries from basic sciences to clinical translation, to health systems and large-scale population studies on determinants of health. This general trend also brings socio-legal implications. New data analytic tools to facilitate scalable, accessible and sustainable data infrastructure for effective management of large, multiscale, multimodal, distributed and heterogeneous data sets and convert data into knowledge for support cost-effective decision aids, disease management, and care delivery need to be developed. In promoting big-data as a source of innovation in healthcare and accelerating the translational pathways from the laboratory bench to the patient’s bedside, this special issue includes a collection of papers addressing some of medical and health informatics challenges related to big data. Papers submitted cover a range of topics, from bioinformatics, imaging informatics, sensor informatics, medical informatics to public health informatics. They also include initiatives that enable use of big-data analytics in health systems for improved clinical decision making, enhanced efficiency of care provision, policy development and policy implementation.

Articles in this Special Issue

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