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 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509046225
DOI
出版ステータス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

出版物シリーズ

名前11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings

Other

Other11th Annual IEEE International Systems Conference, SysCon 2017
国/地域Canada
CityMontreal
Period17/4/2417/4/27

ASJC Scopus subject areas

  • 人工知能
  • ハードウェアとアーキテクチャ
  • 制御およびシステム工学
  • 器械工学

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