PICT-DPA: A Quality-Compliance Data Processing Architecture

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dc.contributor.authorYu, Ruizhi
dc.contributor.authorLi, Yan
dc.date.accessioned2023-12-26T18:47:44Z
dc.date.available2023-12-26T18:47:44Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.691
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other3080b92b-5161-4b5f-a3ac-aacc000b3a2e
dc.identifier.urihttps://hdl.handle.net/10125/107076
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAdvances in Design Science Research
dc.subjectclinical decision support system
dc.subjectdata processing architecture
dc.subjectdesign science research
dc.subjectemergency care
dc.subjectreal-time data process
dc.titlePICT-DPA: A Quality-Compliance Data Processing Architecture
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThe Emergency Care Clinical Decision Support System (EC-CDSS) has proven to improve the quality of the Emergency Care System (ECS), which is crucial for providing timely life-saving care. The literature lacks a data processing architecture for an integrated EC-CDSS that can fulfill all quality attributes while satisfying all stakeholders’ information needs. To address this literature gap, this study designs a new data processing architecture, called PICT-DPA. The PICT-DPA was evaluated by its instantiation of a PICT-enabled EDSS and user interviews. Results demonstrate that the PICT-DPA improves quality attributes and meets stakeholders' information needs. The design process of the PICT-DPA shows the importance of understanding the research domain, integrating the theoretical foundations, and iterative design. Furthermore, the PICT-DPA can enhance the capabilities of data processing tasks in any domain with similar quality attributes requirements.
dcterms.extent10 pages
prism.startingpage5731

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