PICT-DPA: A Quality-Compliance Data Processing Architecture
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Date
2024-01-03
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5731
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The 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.
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Advances in Design Science Research, clinical decision support system, data processing architecture, design science research, emergency care, real-time data process
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10 pages
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Proceedings of the 57th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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