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Full-Text Articles in Library and Information Science
Taking A User-Centered Design Approach To Develop A Data Dashboard For New York State Department Of Health And Implications For Improving The Usability Of Public Data Dashboards / Narrative Competence And Cognitive Mapping As A Culturally Sustaining Pedagogy In The Education Of Emergent Bilinguals, Bahareh Ansari
Legacy Theses & Dissertations (2009 - 2024)
In recent years, the increased availability of public data dashboards provided opportunities to democratize data access by summarizing large amounts of data into accessible snapshots to facilitate educational efforts and encourage evidence-based decision-making. However, many current practices have not reached their full potential because the dashboard design has not accounted for users’ needs and preferences. This dissertation employed the user-centered design framework with three studies. Study 1 investigated the usability problems of existing public health data dashboards through an expert review of existing dashboards on government websites. Study 2 established the requirements of a usable design for public health data …
A Visual Interactive Analytic Tool For Filtering And Summarizing Large Health Data Sets Coded With Hierarchical Terminologies (Viads)., Xia Jing, Matthew Emerson, David Masters, Matthew Brooks, Jacob Buskirk, Nasseef Abukamail, Chang Liu, James J. Cimino, Jay H. Shubrook, Sonsoles De Lacalle, Yuchun Zhou, Vimla L. Patel
A Visual Interactive Analytic Tool For Filtering And Summarizing Large Health Data Sets Coded With Hierarchical Terminologies (Viads)., Xia Jing, Matthew Emerson, David Masters, Matthew Brooks, Jacob Buskirk, Nasseef Abukamail, Chang Liu, James J. Cimino, Jay H. Shubrook, Sonsoles De Lacalle, Yuchun Zhou, Vimla L. Patel
Faculty Publications & Research of the TUC College of Osteopathic Medicine
BACKGROUND: Vast volumes of data, coded through hierarchical terminologies (e.g., International Classification of Diseases, Tenth Revision-Clinical Modification [ICD10-CM], Medical Subject Headings [MeSH]), are generated routinely in electronic health record systems and medical literature databases. Although graphic representations can help to augment human understanding of such data sets, a graph with hundreds or thousands of nodes challenges human comprehension. To improve comprehension, new tools are needed to extract the overviews of such data sets. We aim to develop a visual interactive analytic tool for filtering and summarizing large health data sets coded with hierarchical terminologies (VIADS) as an online, and publicly …