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

Suguru Okami, Naohiko Kohtake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509046225
DOIs
Publication statusPublished - 2017 May 26
Event11th Annual IEEE International Systems Conference, SysCon 2017 - Montreal, Canada
Duration: 2017 Apr 242017 Apr 27

Other

Other11th Annual IEEE International Systems Conference, SysCon 2017
CountryCanada
CityMontreal
Period17/4/2417/4/27

Fingerprint

information systems
Systems engineering
systems engineering
health
Information systems
systems management
Health
intervals
Computer simulation
decision making
matrices
surveillance
confidence
Decision making
System of systems

Keywords

  • design structure matrix
  • engineering systems
  • graph theory
  • Health-information system
  • multiple domain matrix
  • network analysis
  • system of systems

ASJC Scopus subject areas

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

Cite this

Okami, S., & Kohtake, N. (2017). Modeling and analysis of health-information system of systems for managing transitional complexity using engineering systems multiple-domain matrix. In 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

Modeling and analysis of health-information system of systems for managing transitional complexity using engineering systems multiple-domain matrix. / Okami, Suguru; Kohtake, Naohiko.

11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7934805.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Okami, S & Kohtake, N 2017, Modeling and analysis of health-information system of systems for managing transitional complexity using engineering systems multiple-domain matrix. in 11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings., 7934805, Institute of Electrical and Electronics Engineers Inc., 11th Annual IEEE International Systems Conference, SysCon 2017, Montreal, Canada, 17/4/24. https://doi.org/10.1109/SYSCON.2017.7934805
Okami S, Kohtake N. Modeling and analysis of health-information system of systems for managing transitional complexity using engineering systems multiple-domain matrix. In 11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7934805 https://doi.org/10.1109/SYSCON.2017.7934805
Okami, Suguru ; Kohtake, Naohiko. / 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. Institute of Electrical and Electronics Engineers Inc., 2017.
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