Modeling and analysis of health-information system of systems for managing transitional complexity using engineering systems multiple-domain matrix

Suguru Okami, Naohiko Kohtake

研究成果: Conference contribution

4 引用 (Scopus)

抜粋

This study examines an approach to model and analyze the transforming health-information system of systems. The process and architecture for the Cambodian malaria-surveillance system were modeled using the Engineering Systems Multiple-Domain Matrix modeling framework. By using the attributes of the process, architecture, and risk associated with the environment within the model, relative weights of the constituent systems were scored at each interval of time. The simulated confidence intervals of the absolute difference in the scores indicated that this approach captured the transformation of the system under investigation. This approach provides the first step in analyzing the transitional conditions of constituent systems as well as the entire health-information system, whereby informed decision-making for optimizing continuous system management is facilitated.

元の言語English
ホスト出版物のタイトル11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509046225
DOI
出版物ステータスPublished - 2017 5 26
イベント11th Annual IEEE International Systems Conference, SysCon 2017 - Montreal, Canada
継続期間: 2017 4 242017 4 27

Other

Other11th Annual IEEE International Systems Conference, SysCon 2017
Canada
Montreal
期間17/4/2417/4/27

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Control and Systems Engineering
  • Instrumentation

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  • これを引用

    Okami, S., & Kohtake, N. (2017). Modeling and analysis of health-information system of systems for managing transitional complexity using engineering systems multiple-domain matrix. : 11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings [7934805] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SYSCON.2017.7934805