Difference between revisions of "Template:Article of the week"

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(Updated article of the week text.)
(Updated article of the week text.)
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 González-FerrerIJIMAI2018 4-7.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Tab1 RojasdelaEscaleraIJIMAI2018 4-7.png|240px]]</div>
'''"[[Journal:Generating big data sets from knowledge-based decision support systems to pursue value-based healthcare|Generating big data sets from knowledge-based decision support systems to pursue value-based healthcare]]"'''
'''"[[Journal:Big data and public health systems: Issues and opportunities|Big data and public health systems: Issues and opportunities]]"'''


Talking about big data in healthcare we usually refer to how to use data collected from current [[electronic medical record]]s, either structured or unstructured, to answer clinically relevant questions. This operation is typically carried out by means of analytics tools (e.g., machine learning) or by extracting relevant data from patient summaries through natural language processing techniques. From other perspectives of research in [[medical informatics]], powerful initiatives have emerged to help physicians make decisions, in both diagnostics and therapeutics, built from existing medical evidence (i.e., knowledge-based [[Clinical decision support system|decision support systems]]). Many of the problems these tools have shown, when used in real clinical settings, are related to their implementation and deployment, more than failing in their support; however, technology is slowly overcoming interoperability and integration issues. Beyond the point-of-care decision support these tools can provide, the data generated when using them, even in controlled trials, could be used to further analyze facts that are traditionally ignored in the current clinical practice. In this paper, we reflect on the technologies available to make the leap and how they could help drive healthcare organizations shifting to a value-based healthcare philosophy. ('''[[Journal:Generating big data sets from knowledge-based decision support systems to pursue value-based healthcare|Full article...]]''')<br />
In recent years, the need for changing the current model of European public health systems has been repeatedly addressed, in order to ensure their sustainability. Following this line, information technology (IT) has always been referred to as one of the key instruments for enhancing the [[information management]] processes of healthcare organizations, thus contributing to the improvement and evolution of health systems. On the IT field, big data solutions are expected to play a main role, since they are designed for handling huge amounts of [[information]] in a fast and efficient way, allowing users to make important decisions quickly. This article reviews the main features of the European public health system model and the corresponding healthcare and management-related information systems, the challenges that these health systems are currently facing, and the possible contributions of big data solutions to this field. To that end, the authors share their professional experience on the Spanish public health system and review the existing literature related to this topic. ('''[[Journal:Big data and public health systems: Issues and opportunities|Full article...]]''')<br />
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''Recently featured'':  
''Recently featured'':  
: ▪ [[Journal:Generating big data sets from knowledge-based decision support systems to pursue value-based healthcare|Generating big data sets from knowledge-based decision support systems to pursue value-based healthcare]]
: ▪ [[Journal:Characterizing and managing missing structured data in electronic health records: Data analysis|Characterizing and managing missing structured data in electronic health records: Data analysis]]
: ▪ [[Journal:Characterizing and managing missing structured data in electronic health records: Data analysis|Characterizing and managing missing structured data in electronic health records: Data analysis]]
: ▪ [[Journal:Closha: Bioinformatics workflow system for the analysis of massive sequencing data|Closha: Bioinformatics workflow system for the analysis of massive sequencing data]]
: ▪ [[Journal:Closha: Bioinformatics workflow system for the analysis of massive sequencing data|Closha: Bioinformatics workflow system for the analysis of massive sequencing data]]
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Revision as of 18:53, 7 May 2018

Tab1 RojasdelaEscaleraIJIMAI2018 4-7.png

"Big data and public health systems: Issues and opportunities"

In recent years, the need for changing the current model of European public health systems has been repeatedly addressed, in order to ensure their sustainability. Following this line, information technology (IT) has always been referred to as one of the key instruments for enhancing the information management processes of healthcare organizations, thus contributing to the improvement and evolution of health systems. On the IT field, big data solutions are expected to play a main role, since they are designed for handling huge amounts of information in a fast and efficient way, allowing users to make important decisions quickly. This article reviews the main features of the European public health system model and the corresponding healthcare and management-related information systems, the challenges that these health systems are currently facing, and the possible contributions of big data solutions to this field. To that end, the authors share their professional experience on the Spanish public health system and review the existing literature related to this topic. (Full article...)

Recently featured:

▪ Generating big data sets from knowledge-based decision support systems to pursue value-based healthcare
▪ Characterizing and managing missing structured data in electronic health records: Data analysis
▪ Closha: Bioinformatics workflow system for the analysis of massive sequencing data
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