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/Territory | 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
