{"@context":{"aiiso":"http:\/\/purl.org\/vocab\/aiiso\/schema#","arm":"https:\/\/ld4p.github.io\/arm\/core\/ontology\/0.1\/","bf":"http:\/\/id.loc.gov\/ontologies\/bibframe\/","bib":"https:\/\/bibliotek-o.org\/","bibo":"http:\/\/purl.org\/ontology\/bibo\/","cito":"http:\/\/purl.org\/spar\/cito\/","classSchemes":"http:\/\/id.loc.gov\/vocabulary\/classSchemes","dbo":"http:\/\/dbpedia.org\/ontology\/","dce":"http:\/\/purl.org\/dc\/elements\/1.1\/","dcmitype":"http:\/\/dublincore.org\/documents\/2000\/07\/11\/dcmi-type-vocabulary\/#","dcterms":"http:\/\/purl.org\/dc\/terms\/","ebucore":"http:\/\/www.ebu.ch\/metadata\/ontologies\/ebucore\/ebucore","edm":"http:\/\/www.europeana.eu\/schemas\/edm\/","foaf":"http:\/\/xmlns.com\/foaf\/spec\/#","frap":"http:\/\/purl.org\/cerif\/frapo","identifiers":"http:\/\/id.loc.gov\/vocabulary\/identifiers","ids":"http:\/\/id.loc.gov\/vocabulary\/identifiers\/","opaque":"http:\/\/opaquenamespace.org\/","pcdm":"http:\/\/pcdm.org\/models#","phaidra":"https:\/\/phaidra.org\/ontology\/","rdam":"http:\/\/rdaregistry.info\/Elements\/m\/","rdau":"http:\/\/rdaregistry.info\/Elements\/u\/","rdax":"http:\/\/rdaregistry.info\/Elements\/x\/","rdf":"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#","rdfs":"https:\/\/www.w3.org\/TR\/rdf-schema\/","relators":"http:\/\/id.loc.gov\/vocabulary\/relators","role":{"@context":{"aut":{"@container":"@list","@id":"http:\/\/id.loc.gov\/vocabulary\/relators\/aut"}}},"schema":"http:\/\/schema.org\/","skos":"http:\/\/www.w3.org\/2004\/02\/skos\/core#","skosxl":"http:\/\/www.w3.org\/2008\/05\/skos-xl"},"@id":"https:\/\/phaidra.ustp.at\/o:7219","bf:note":[{"@type":"bf:Note","skos:prefLabel":[{"@language":"eng","@value":"This study aims to design and develop an interactive visualization that displays hospital discharge data from the\nnine Austrian counties. The motivation behind this work lies in the need for accessible, intuitive tools to explore\nand analyze complex healthcare data, enabling domain experts to identify trends, make comparisons, and support\nevidence-based decision-making. The visualization seeks to answer two key questions: How can Austrian hospital\ndischarge data be designed as an interactive visualization? And how can the data be communicated effectively\nthrough an interactive visualization to support domain experts in gaining an overview of hospital discharge data?\nTo address these questions, several methodologies were employed. The 5 Design Sheet Methodology was utilized\nto systematically design the dashboard. This approach ensured clarity and effectiveness in representing the data\nby breaking down the design process into manageable steps. The creation of the dashboard was executed using\nTableau, a data visualization tool. The hospital discharge data was sourced from Statistik Austria, together with\npopulation data to normalize between different counties. The normalization process was essential to provide\na comparison between regions with varying population sizes. The dashboard was subjected to user testing\ninvolving four experts in the health domain and two experts in the data visualization domain. Additionally, 19\ndata visualization students provided feedback through a structured evaluation session. After interacting with the\ndashboard, experts participating in semi-structured interviews provided feedback on their experience. Overall, the\nfeedback highlighted the dashboard’s strength in combining geographic and temporal perspectives and praised the\nusefulness of interactive features such as dynamic filters and tooltips. Users appreciated the ability to customize\nthe analysis to specific needs, with educators in emergency care using the dashboard to build region-specific\ntraining scenarios. Suggestions for improvement included optimizing performance, especially for the horizon\nplot, and adding advanced filtering options such as demographic breakdowns and co-occurring diagnoses. The\ndesigned dashboard displays trends and inter-correlations of various discharge categories from 2001 to 2022\nin Austria. To enhance the user experience and facilitate deeper analysis, several interaction techniques were\nincorporated. Tooltips were implemented to display detailed information about hospital stay durations and\npatient numbers. Additionally, a map was linked with a bump chart to provide a clear view of each county’s data\nthrough the years. This linkage allowed users to see geographic trends alongside temporal changes. Horizon\ncharts were also included, with drag-able rows that allowed users to freely discover and compare different disease\ncategories. These interactive features were designed with the aim of helping domain experts gain a comprehensive\noverview of disease patterns, predict trends, and gain more profound insights from the data. By transforming\nhospital discharge data into an interactive visualization, the dashboard was designed to make the information\nmore accessible and useful for decision making in the healthcare sector. In conclusion, the combination of the\n5 Design Sheet Methodology and semi-structured expert interviews facilitated the creation of an effective and\nuser-friendly interactive visualization of hospital discharge data in Austria. This visualization not only provides a\nclear overview of historical trends but also empowers healthcare professionals to explore and analyze the data in\nways that support informed decision-making."}]}],"bf:provisionActivity":[{"@type":"bf:Publication","bf:agent":[{"@type":"schema:Organization","schema:name":[{"@value":"St. Pölten University of Applied Sciences"}]}],"bf:date":["2024-11-27"],"bf:place":[{"@type":"schema:Place","skos:prefLabel":[{"@value":"St. Pölten"}]}]}],"dce:subject":[{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"Information visualization"}]},{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"dashboard"}]},{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"hospital discharge"}]}],"dce:title":[{"@type":"bf:Title","bf:mainTitle":[{"@language":"eng","@value":"Hospital Discharges in Austria: An Interactive Dashboard 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