Benefits and challenges of Big Data in healthcare: an overview of the European initiatives

Author:

Pastorino Roberta12,De Vito Corrado3,Migliara Giuseppe3,Glocker Katrin4,Binenbaum Ilona42,Ricciardi Walter15,Boccia Stefania15

Affiliation:

1. Sezione di Igiene, Istituto di Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy

2. Department of Biology, University of Patras, Patras, Greece

3. Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy

4. Division of Medical Informatics for Translational Oncology, German Cancer Research Center, Heidelberg, Germany

5. Department of Woman and Child Health and Public Health—Public Health Area, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy

Abstract

Abstract Healthcare systems around the world are facing incredible challenges due to the ageing population and the related disability, and the increasing use of technologies and citizen’s expectations. Improving health outcomes while containing costs acts as a stumbling block. In this context, Big Data can help healthcare providers meet these goals in unprecedented ways. The potential of Big Data in healthcare relies on the ability to detect patterns and to turn high volumes of data into actionable knowledge for precision medicine and decision makers. In several contexts, the use of Big Data in healthcare is already offering solutions for the improvement of patient care and the generation of value in healthcare organizations. This approach requires, however, that all the relevant stakeholders collaborate and adapt the design and performance of their systems. They must build the technological infrastructure to house and converge the massive volume of healthcare data, and to invest in the human capital to guide citizens into this new frontier of human health and well-being. The present work reports an overview of best practice initiatives in Europe related to Big Data analytics in public health and oncology sectors, aimed to generate new knowledge, improve clinical care and streamline public health surveillance.

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health

Reference20 articles.

1. Policy implications of big data in the health sector;Vayena;Bull World Health Organ,2018

2. Big data: the management revolution;McAfee;Harv Bus Rev,2012

3. Big Data and management;George;AMJ,2014

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