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Dashboard to Support the Decision-Making within a Chronic Disease: A Framework for Automatic Generation of Alerts and KPIs
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Author(s): Leonor Teixeira (Institute of Electronics and Telematics Engineering of Aveiro, University of Aveiro, Portugal), Vasco Saavedra (University of Aveiro, Portugal)and João Pedro Simões (Accenture, Portugal)
Copyright: 2012
Pages: 12
Source title:
Medical Applications of Intelligent Data Analysis: Research Advancements
Source Author(s)/Editor(s): Rafael Magdalena-Benedito (Intelligent Data Analysis Laboratory, University of Valencia, Spain), Emilio Soria-Olivas (Intelligent Data Analysis Laboratory, University of Valencia, Spain), Juan Guerrero Martínez (Intelligent Data Analysis Laboratory, University of Valencia, Spain), Juan Gómez-Sanchis (Intelligent Data Analysis Laboratory, University of Valencia, Spain)and Antonio Jose Serrano-López (Intelligent Data Analysis Laboratory, University of Valencia, Spain)
DOI: 10.4018/978-1-4666-1803-9.ch010
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Abstract
This chapter describes a monitoring system based on alerts and Key Performance Indicators (KPIs), applied in clinical context, within a chronic disease (haemophilia). This kind of disease follows the patient through his/her life, and its treatment requires an almost permanent exchange of data/information with healthcare professional (HCPs), with the information and communications technologies (ICTs) a key contribution in this process. However, most applications based on those ICTs do not allow the analysis of heterogeneous data in real-time, requiring the availability of clinicians to check the data and analyze the information to support the clinical decision process. Since time is a scarce resource in the context of healthcare providers, and information a crucial resource in the decision support process, real-time monitoring systems can help finding the right balance between those two resources, presenting the key information in an appropriate format, through alerts and KPIs. The system described in this chapter, named hemo@care_dashboard, aims to support clinical decision-making of healthcare professionals of a specific chronic disease, providing real-time information in a push-logic through alerts and KPIs, displayed on a dashboard.
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