Big Data and Analytics in Healthcare

S. S. -L. Tan; G. Gao; S. Koch

doi:10.3414/ME15-06-1001

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2015; 54(06): 546-547
DOI: 10.3414/ME15-06-1001

Focus Theme – Editorial

Schattauer GmbH

Big Data and Analytics in Healthcare

S. S. -L. Tan

¹Centre for Health Informatics, Department of Information Systems, National University of Singapore, Singapore

,

G. Gao

²Center for Health Information and Decision Systems, University of Maryland, College Park, USA

,

S. Koch

³Health Informatics Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden

› Author Affiliations

Abstract

Summary

This editorial is part of the Focus Theme of Methods of Information in Medicine on “Big Data and Analytics in Healthcare”.

The amount of data being generated in the healthcare industry is growing at a rapid rate. This has generated immense interest in leveraging the availability of healthcare data (and “big data”) to improve health outcomes and reduce costs. However, the nature of healthcare data, and especially big data, presents unique challenges in processing and analyzing big data in healthcare. This Focus Theme aims to disseminate some novel approaches to address these challenges. More specifically, approaches ranging from efficient methods of processing large clinical data to predictive models that could generate better predictions from healthcare data are presented.

Keywords

Healthcare analytics - big data - natural language processing - predictive analytics - healthcare informatics

Full Text

References

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