Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
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.
Recommended Citation
Yu, Ruizhi and Li, Yan, "PICT-DPA: A Quality-Compliance Data Processing Architecture" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 3.
https://aisel.aisnet.org/hicss-57/os/design_science_research/3
PICT-DPA: A Quality-Compliance Data Processing Architecture
Hilton Hawaiian Village, Honolulu, Hawaii
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.
https://aisel.aisnet.org/hicss-57/os/design_science_research/3