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

Suguru Okami; Naohiko Kohtake

doi:10.1109/SYSCON.2017.7934805

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

Suguru Okami, Naohiko Kohtake

Graduate School of System Design and Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 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 language	English
Title of host publication	11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509046225
DOIs	https://doi.org/10.1109/SYSCON.2017.7934805
Publication status	Published - 2017 May 26
Event	11th Annual IEEE International Systems Conference, SysCon 2017 - Montreal, Canada Duration: 2017 Apr 24 → 2017 Apr 27

Other

Other	11th Annual IEEE International Systems Conference, SysCon 2017
Country	Canada
City	Montreal
Period	17/4/24 → 17/4/27

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

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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 proceeding › Conference 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

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