Data di Pubblicazione:
2016
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.
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.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
Clinical Decision Support Systems, Clinical Dashboards, Data analytics,
Big data for healthcare
Elenco autori:
Melchiori, Michele; Sheler, Maktoobi
Link alla scheda completa:
Titolo del libro:
Proceedings of the Workshop on Valuable Visualization of Healthcare Information: from the quantified self data to conversations, co-located with the 2016 International Working Conference on Advanced Visual Interfaces (AVI 2016)
Pubblicato in: