. Application of data analytics and visual analytics to the medical domain, and specifically to support clinical activities is more and more both a need and an opportunity. For example, as reported by the US Institute of Medicine, positive transformation of current health systems to make them cost-sustainable and providing higher care quality, requires to capture more clinical data and generate knowledge for better healthcare management and enhancement of medical research. In this brief survey we review recent papers (since 2013 on) describing innovative clinical dashboards which promise better support of clinical and medical research activities. We also explain how in some of these tools analytics features are implemented to cope with clinical dataset and get insights from them. We try therefore to identify for each considered tool a set of features concerning data sources, tasks/workflows supported, indicators and their graphical representation, analytics support, target users and data processing approaches.

A brief Survey of Recent Clinical Dashboards

MELCHIORI, Michele;
2016-01-01

Abstract

. Application of data analytics and visual analytics to the medical domain, and specifically to support clinical activities is more and more both a need and an opportunity. For example, as reported by the US Institute of Medicine, positive transformation of current health systems to make them cost-sustainable and providing higher care quality, requires to capture more clinical data and generate knowledge for better healthcare management and enhancement of medical research. In this brief survey we review recent papers (since 2013 on) describing innovative clinical dashboards which promise better support of clinical and medical research activities. We also explain how in some of these tools analytics features are implemented to cope with clinical dataset and get insights from them. We try therefore to identify for each considered tool a set of features concerning data sources, tasks/workflows supported, indicators and their graphical representation, analytics support, target users and data processing approaches.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/478403
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