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 | |
| 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 |
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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
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
}
TY - GEN
T1 - Modeling and analysis of health-information system of systems for managing transitional complexity using engineering systems multiple-domain matrix
AU - Okami, Suguru
AU - Kohtake, Naohiko
PY - 2017/5/26
Y1 - 2017/5/26
N2 - 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.
AB - 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.
KW - design structure matrix
KW - engineering systems
KW - graph theory
KW - Health-information system
KW - multiple domain matrix
KW - network analysis
KW - system of systems
UR - http://www.scopus.com/inward/record.url?scp=85021398266&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021398266&partnerID=8YFLogxK
U2 - 10.1109/SYSCON.2017.7934805
DO - 10.1109/SYSCON.2017.7934805
M3 - Conference contribution
AN - SCOPUS:85021398266
BT - 11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -