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2020 | OriginalPaper | Chapter

Main Barriers and Needs to Support Clinical Cancer Research via Health Informatics

Authors : Laura Lopez-Perez, Silvana Canevari, Leandro Pecchia, Maria Teresa Arredondo, Lisa Licitra, Giuseppe Fico

Published in: Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices

Publisher: Springer International Publishing

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Abstract

Cancer is the second leading cause of death worldwide. In order to reduce this burden, new strategies need to be implemented. With the evolution of computational techniques, the amount of clinical data available has increased considerably. However, these data are not always easily accessible, with some barriers of different nature preventing their retrieval and analysis. With the aim of better understanding these barriers and eventually support decision making through digital tools, a literature search has been conducted and, according to the analysis of the resulting bibliography, a survey to validate the literature findings has been distributed to clinical and computer science experts who work on cancer research in different countries. The answers received allow us to identify the main issues that need to be addressed, which are analyzed and presented in this paper. This work is carried out in the context of BD2Decide European Research project.

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Literature
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go back to reference You, W., et al.: Greater family size is associated with less cancer risk: an ecological analysis of 178 countries. BMC Cancer 18(1), 924 (2018)CrossRef You, W., et al.: Greater family size is associated with less cancer risk: an ecological analysis of 178 countries. BMC Cancer 18(1), 924 (2018)CrossRef
2.
go back to reference Kayyali, B., et al.: The Big-Data Revolution in US Health Care: Accelerating Value and Innovation, pp. 1–13. McKinsey & Company, New York (2013) Kayyali, B., et al.: The Big-Data Revolution in US Health Care: Accelerating Value and Innovation, pp. 1–13. McKinsey & Company, New York (2013)
Metadata
Title
Main Barriers and Needs to Support Clinical Cancer Research via Health Informatics
Authors
Laura Lopez-Perez
Silvana Canevari
Leandro Pecchia
Maria Teresa Arredondo
Lisa Licitra
Giuseppe Fico
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-30636-6_25