Journal:Big data as a driver for clinical decision support systems: A learning health systems perspective
| Full article title | Big data as a driver for clinical decision support systems: A learning health systems perspective |
|---|---|
| Journal | Frontiers in Digital Humanities |
| Author(s) |
Dagliati, Arianna; Tibolloa, Valentina; Sacchi, Lucia; Malovini, Alberto; Limongelli, Ivan; Gabetta, Matteo; Napolitano, Carlo; Mazzanti, Andrea; De Cata, Pasquale; Chovato, Luca; Priori, Sylvia; Bellazzi, Riccardo |
| Author affiliation(s) | Istituti Clinici Scientifici Maugeri, University of Manchester, Università degli Studi di Pavia, Engenome s.r.l., Biomeris s.r.l. |
| Primary contact | Email: riccardo dot bellazzi at unipv dot it |
| Editors | Cavallo, Pierpaolo |
| Year published | 2018 |
| Volume and issue | 5 |
| Page(s) | 8 |
| DOI | 10.3389/fdigh.2018.00008 |
| ISSN | 2297-2668 |
| Distribution license | Creative Commons Attribution 4.0 International |
| Website | https://www.frontiersin.org/articles/10.3389/fdigh.2018.00008/full |
| Download | https://www.frontiersin.org/articles/10.3389/fdigh.2018.00008/pdf (PDF) |
 |
This article should not be considered complete until this message box has been removed. This is a work in progress. |
Abstract
Big data technologies are nowadays providing health care with powerful instruments to gather and analyze large volumes of heterogeneous data collected for different purposes, including clinical care, administration, and research. This makes possible to design IT infrastructures that favor the implementation of the so-called “Learning Healthcare System Cycle,” where healthcare practice and research are part of a unique and synergistic process. In this paper we highlight how "big-data-enabled” integrated data collections may support clinical decision-making together with biomedical research. Two effective implementations are reported, concerning decision support in diabetes and in inherited arrhythmogenic diseases.
Keywords: big data, learning health care cycle, data warehouses, data integration, data analytics
Introduction
References
Notes
This presentation is faithful to the original, with only a few minor changes to grammar, spelling, and presentation, including the addition of PMCID and DOI when they were missing from the original reference.
