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		<title>AAL+Healthcare: Dataset structures, business models, legal considerations and usage scenarios for the Data Market Austria</title>
		<link>https://www.synyo.com/news/aalhealthcare-data-project-launched-to-explore-usage-scenarios-and-data-structures-for-the-distribution-of-healthcare-data-2-2/</link>
		
		<dc:creator><![CDATA[leo]]></dc:creator>
		<pubDate>Thu, 31 Oct 2019 10:49:07 +0000</pubDate>
				<category><![CDATA[AAL+Healthcare Data]]></category>
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					<description><![CDATA[<p>The post <a href="https://www.synyo.com/news/aalhealthcare-data-project-launched-to-explore-usage-scenarios-and-data-structures-for-the-distribution-of-healthcare-data-2-2/">AAL+Healthcare: Dataset structures, business models, legal considerations and usage scenarios for the Data Market Austria</a> appeared first on <a href="https://www.synyo.com">SYNYO GmbH</a>.</p>
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<div style='padding-bottom:0px;' class='av-special-heading av-special-heading-h2  blockquote modern-quote  av-thin-font'><h2 class='av-special-heading-tag'  itemprop="headline"  ><strong>AAL+Healthcare: Dataset structures, business models, legal considerations and usage scenarios for the Data Market Austria</strong></h2><div class='special-heading-border'><div class='special-heading-inner-border' ></div></div></div><br />
<section class="av_textblock_section"  itemscope="itemscope" itemtype="https://schema.org/BlogPosting" itemprop="blogPost" ><div class='avia_textblock  av_inherit_color'  style='font-size:16px; color:#333333; '  itemprop="text" ><p><a name="_Toc55971186"></a><strong>The project AAL+Healthcare had set the overall aim of the project to explore the novel usage scenarios, individual dataset structures. Relevant legal considerations and applicable business models for the distribution of AAL and healthcare data or services via the Data Market Austria. Based on literature review, best practices and the involvement of relevant stakeholders via surveys and consultation, this aim was successfully reached.</strong><a name="_Toc104553477"></a></p>
<p><a name="_Toc55971188"></a>In order to expand the knowledge of the healthcare environment and develop a new framework for the Data Market Austria, the project AAL+Healthcare set the objective to identify and analyse various dataset structures and usage scenarios. Moreover, it set the objective to define legal considerations and recognize currently existing business models that may be applied to the Data Market Austria. This overall aim was broken down into five goals that were necessary to be fulfilled in order for the overall objective of the project to be achieved.</p>
<p><strong>Goal 1</strong></p>
<p>The first objective was to investigate appropriate knowledge, literature, best practices and approved business models, as well as data requirements. The tasks performed to meet this goal included the analysis of the state of the art which included existing studies, analyses, roadmaps, concepts, datasets and formats in the Austrian and European context of AAL and healthcare. This analysis built the scientific and technical foundation for the project.</p>
<p>The purpose behind collecting, aggregating and analysing literature and best practice material was to ultimately create systematic datasets based on the data requirements for the usage scenarios that were identified later on in the project.</p>
<p><strong>Goal 2</strong></p>
<p>The second goal focused on creating scenarios for ALL and healthcare data, in order to develop a conception of feasible usage scenarios of AAL and healthcare data by including relevant stakeholders and their individual data requirements. With the goal in mind both quantitative and qualitative empirical research, with the aim to take into account the whole range of stakeholders were performed to identify their requirements and needs. This approach was to make sure that the developed usage scenarios serve the interests of business, politics and research, but also include the perspective of primary stakeholders, such as end-users and care organisations, right from the start.</p>
<p>During this process two surveys were performed: First, a survey with data stakeholders (i.e. professionals and researchers involved in data analytics and data science) with the aim to identify user requirements from these stakeholders with different backgrounds. The second survey involved stakeholders active in the AAL environment, including primary stakeholders (older adults), secondary stakeholders (informal and professional caregivers) and tertiary stakeholders (comprised of private or public organisations that are not directly in contact with AAL products and services, but contribute in organising, paying or enabling them). The results were used to derive requirements and business models, which were transformed into personas and validated in qualitative interviews by our partners ASBW (Arbeiter-Samariter-Bund Wien).</p>
<p><strong>Goal 3</strong></p>
<p>During the third stage of the process, potential data sources and sample data were identified based on the created usage scenarios, personas and business models. These included external sources such as OpenAIRE, OpenCorporates, European Data Portal, European Patent Organisation, and various other data sources. The third goal was to elaborate on datasets structures, legal validations and specification of licenses including with respect to data and datasets. After identifying such data sources, datasets and data samples, an approach for a systematic data aggregation system, an information extraction analysis system, information visualisation and data visualisation, and reporting system was defined and developed. Finally, the developed concepts, scenarios, as well as identified business models were condensed into a roadmap which needs to be developed over upcoming projects and research activities.</p>
<p><strong>Goal 4</strong></p>
<p>The fourth goal was related to the dissemination of the project and its outcomes via the Data Market Austria and further channels, including the provision of leaflets and content. The aim of this goal was to establish a network with relevant stakeholders from all areas and bring awareness to the project and its very interesting outcomes and results. During the project, project slide kits used for presentations and dissemination were created. Furthermore, the AAL+Healthcare project was presented at seven events, out of which three were set within the pan-European context. The project was able to gather feedback and input from various stakeholders with different backgrounds and perspectives.</p>
<p><strong>Goal 5</strong></p>
<p>Ultimately, the AAL+Healthcare Data project aimed to investigate new business models, show best practices, and, building on this knowledge, create a short-term and long-term exploitation strategy for all usage scenarios identified throughout the project. That is why the last goal in order to achieve the project’s main objectives was to create a short-term and long-term exploitation strategy for all usage scenarios identified throughout the project. Embedded in the roadmap created within the project, this exploitation strategy shows business models for different scenarios, including the necessary data requirements, service levels and legal considerations.</p>
<p>The entire findings and information collected during the project are relevant for the achievement of the individual goals of the partners involved in the project, but go also beyond that in offering highly important insights to the scientific community, the AAL and healthcare area and the data market in Austria.</p>
<h3><a name="_Toc104553478"></a>Project impacts</h3>
<p>As mentioned, the project was able to reach several goals and produce interesting information and resources out of these milestones:</p>
<ul>
<li>Creation of a dataset of appropriate knowledge, literature, best practices and approved business models in the field of AAL and Healthcare</li>
<li>Development of stakeholder and business relevant usage scenarios</li>
<li>Creation of a large collection of ALL and healthcare related data sets, data sources and data samples and their structures, legal validations and license format and specifications</li>
<li>Drastically increased awareness of Data Market Austria, AAL, healthcare and the project results in the Austrian and European market.</li>
<li>Development of a short-term and long-term exploitation strategy including business and service models and a roadmap</li>
</ul>
<p>Therefore, it can be finally said that the project was able to achieve its main objective of identifying and analysing various dataset structures and usage scenarios to define legal considerations and recognize currently existing business models that may be applied to the Data Market Austria. Thus, it can be considered successful and it also led to several impacts listed below.</p>
<h3><a name="_Toc104553479"></a>Keywords</h3>
<p>AAL, healthcare, data, Data Market Austria, usage scenarios, healthcare data</p>
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</div></div></div><!-- close content main div --></div></div><div id='after_section_3' class='main_color av_default_container_wrap container_wrap sidebar_right'   ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-10069'><div class='entry-content-wrapper clearfix'></p><p>The post <a href="https://www.synyo.com/news/aalhealthcare-data-project-launched-to-explore-usage-scenarios-and-data-structures-for-the-distribution-of-healthcare-data-2-2/">AAL+Healthcare: Dataset structures, business models, legal considerations and usage scenarios for the Data Market Austria</a> first appeared on <a href="https://www.synyo.com">SYNYO GmbH</a>.</p><p>The post <a href="https://www.synyo.com/news/aalhealthcare-data-project-launched-to-explore-usage-scenarios-and-data-structures-for-the-distribution-of-healthcare-data-2-2/">AAL+Healthcare: Dataset structures, business models, legal considerations and usage scenarios for the Data Market Austria</a> appeared first on <a href="https://www.synyo.com">SYNYO GmbH</a>.</p>
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		<item>
		<title>AAL+Healthcare Data: System Architecture and Methodology</title>
		<link>https://www.synyo.com/news/aalhealthcare-data-project-launched-to-explore-usage-scenarios-and-data-structures-for-the-distribution-of-healthcare-data-2/</link>
		
		<dc:creator><![CDATA[leo]]></dc:creator>
		<pubDate>Wed, 01 May 2019 06:51:30 +0000</pubDate>
				<category><![CDATA[AAL+Healthcare Data]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">https://www.synyo.com/?p=10065</guid>

					<description><![CDATA[<p>The post <a href="https://www.synyo.com/news/aalhealthcare-data-project-launched-to-explore-usage-scenarios-and-data-structures-for-the-distribution-of-healthcare-data-2/">AAL+Healthcare Data: System Architecture and Methodology</a> appeared first on <a href="https://www.synyo.com">SYNYO GmbH</a>.</p>
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<div style='padding-bottom:0px;' class='av-special-heading av-special-heading-h2  blockquote modern-quote  av-thin-font'><h2 class='av-special-heading-tag'  itemprop="headline"  ><strong>AAL+Healthcare Data: System Architecture and Methodology</strong></h2><div class='special-heading-border'><div class='special-heading-inner-border' ></div></div></div><br />
<section class="av_textblock_section"  itemscope="itemscope" itemtype="https://schema.org/BlogPosting" itemprop="blogPost" ><div class='avia_textblock  av_inherit_color'  style='font-size:16px; color:#333333; '  itemprop="text" ><p><strong>Following a typical Extract, Transform, Load (ETL) data processing workflow, we here provide an overview of the functionalities proposed as part of the project, that is responsible for the data acquisition, processing and maintenance. On top, various applications are envisioned that each utilize the ingested data, in order to facilitate their specific service. </strong></p>
<p>The proposed data architecture governs the overall data mobility and integrity to ensure the data quality, in terms of relevance and freshness as well as to support the end-user-application and forward data sharing. In short, on one side, the data architecture focuses on the modelling and maintenance of external data sources, i.e., the acquisition of the data through various connectors targeting the various data source, and their maintenance in particular. While on the other side, it focuses on the aggregation and analysis of the data across the various dataset, to improve the data quality as a whole as well as to create information out of the data.</p>
<p>From an application point of view, two main aspects have been considered. For selected datasets, source-specific applications are developed to provide value-adding services on top of the given dataset that is not provided by the original service. This may include further indexing the datasets, as they are, to facilitate e.g., search functionality, monitor the data integrity of the local data set and its state through its presentation and visualization of the information. This separation also improves the data quality as the collection processes attempt, as far as possible, to manipulate the external datasets as little as possible, and rather focus on having a reliable and useful reflection of the data source. The second aspect, as mentioned above, is focused on application based on the analysis and exploitation of the datasets as seen from a horizontal integration point of view where the key entities across the various datasets have been fused, to enrich the overall view, or based on the outcomes of the various analysis that may be performed as to extract insights from the data that has been collected.</p>
<p>Depending on the type of the remote data source, e.g., whether it’s an API, file-based source, or remote database, different connector implementations are applied, each tailored to the specific data provisioning type and source. Besides preparing the staging of the information as close to the original content as possible, a key design aspect is to optimize the collection and/or access process and constrain it towards reducing the strains on the remote resources when synchronizing.</p>
<p>For the integration with the Data Market Austria data market, three main facilitators are envisioned, namely the facilitation of the aggregated raw data, e.g., this is relevant for the API-based open data sets where the collection process has aggregated the information across the provided API collection, and thus the value-added service is a dataset that can be presented as a single entity. As these are evolving data sets with new entities being added over time, the dynamic data inventory provided by the DMA would be a suitable solution. Secondly, and primarily, the main value would come from the aggregated datasets, in their own right, where the data would be enriched, or, by facilitating the insights from the data analytics.</p>
<h3><a name="_Toc112939336"></a><a name="_Toc112941172"></a>Keywords</h3>
<p>AAL, healthcare data, ETL, architecture</p>
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]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>AAL+Healthcare Data: Project launched to explore usage scenarios and data structures for the distribution of healthcare data.</title>
		<link>https://www.synyo.com/news/aalhealthcare-data-project-launched-to-explore-usage-scenarios-and-data-structures-for-the-distribution-of-healthcare-data/</link>
		
		<dc:creator><![CDATA[SYNYO]]></dc:creator>
		<pubDate>Wed, 07 Nov 2018 05:17:52 +0000</pubDate>
				<category><![CDATA[AAL+Healthcare Data]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">https://www.synyo.com/?p=7640</guid>

					<description><![CDATA[<p>The post <a href="https://www.synyo.com/news/aalhealthcare-data-project-launched-to-explore-usage-scenarios-and-data-structures-for-the-distribution-of-healthcare-data/">AAL+Healthcare Data: Project launched to explore usage scenarios and data structures for the distribution of healthcare data.</a> appeared first on <a href="https://www.synyo.com">SYNYO GmbH</a>.</p>
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<div style='padding-bottom:0px;' class='av-special-heading av-special-heading-h2  blockquote modern-quote  av-thin-font'><h2 class='av-special-heading-tag'  itemprop="headline"  ><strong>AAL+Healthcare Data: Project launched to explore usage scenarios and data structures for the distribution of healthcare data.</strong></h2><div class='special-heading-border'><div class='special-heading-inner-border' ></div></div></div><br />
<section class="av_textblock_section"  itemscope="itemscope" itemtype="https://schema.org/BlogPosting" itemprop="blogPost" ><div class='avia_textblock  av_inherit_color'  style='font-size:16px; color:#333333; '  itemprop="text" ><p><b>The AAL+Healthcare Data project focuses on the data environment around the healthcare sector and is aiming to explore and determine novel usage scenarios, dataset structures and applicable models for the distribution of AAL and healthcare data or services via the Data Market Austria. </b></p>
<p><span style="font-weight: 400;">Driven by the demographic change and the digital transformation the markets of Ambient Assisted Living (AAL) and healthcare are becoming some of the fastest growing markets for data. The exploratory project AAL+Healthcare Data transforms existing data repositories to demand-oriented, novel datasets and data services for the Data Market services and care organisations and further data user groups.</span></p>
<p><span style="font-weight: 400;">Hence, the goals of the AAL+Healthcare Data project are to explore scientific knowledge and literature, analyse and determine best practices and approved business models and investigate data requirements for datasets and data usage in the area of AAL and healthcare. Secondly, the project plans to develop usage scenarios of AAL and healthcare data supported by the quantitative and qualitative surveys that will be answered by relevant healthcare stakeholders. Finally, the AAL+Healthcare Data project aims to elaborate dataset structures, which include specifications of licenses and formats, in order to guarantee the exploitation potential of the data provided. Moreover, the project will aim to create short-term and long-term exploitation strategies including business and services models, as well as structured set of measures. Finally, to ensure visibility of the project and its outcomes, the project will apply dissemination strategies to display the outcomes via the Data Market Austria and further channels.</span></p>
<p><span style="font-weight: 400;">The project AAL+Healthcare Data is part of the Austrian Research Promotion Agency (FFG) programme “ICT of the Future” and it is constituted of two organisations. Arbeiter-Samariter-Bund Wien is an organisation responsible for the outpatient care of older people in all districts of Vienna. It has several years of first-hand experience and knowledge on AAL and healthcare. SYNYO is a highly dynamic enterprise focusing on research, innovation and technology. The organisation has extensive expertise and experience with healthcare and information technology related projects, which included management of healthcare data and implementation of various sized data-driven solutions hosting a large amount of AAL and healthcare data. SYNYO, as project coordinator and main research partner, will contribute to the project with the necessary expertise for research, dataset structures, data services and the exploitation strategies. </span></p>
<p><span style="font-weight: 400;">In order to achieve the goals and fill the research gaps identified, the project is structured in five work packages that in total will add up to a total term of 9 months duration. </span></p>
<h3><b>Project objectives</b></h3>
<p><span style="font-weight: 400;">The AAL+Healthcare Data project has the following objectives:</span></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Investigation of appropriate knowledge, literature, best practices and approved business models, as well as data requirements.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Conception of feasible usage scenarios of AAL and healthcare data by including relevant stakeholders and their individual data requirements.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Elaboration of dataset structures including relevant sample data including legal validations, and specification of licences and formats.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Dissemination of the project outcomes via the Data Market Austria and further channels, including the provision of leaflets, and content.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Creation of a short-term and long-term exploitation strategy including business and service models, as well as a structured set of measures.</span></li>
</ul>
<h2><b>Keywords</b></h2>
<p><span style="font-weight: 400;">healthcare, AAL, data, Data Market Austria, datasets structures, healthcare data usage scenarios, healthcare data business models</span></p>
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