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Transitional Complexity of Health Information System of Systems: Managing by the Engineering Systems Multiple-Domain Modeling Approach
- Source :
- IEEE Systems Journal. 13:952-963
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- A health information system is a system of systems that serves as a foundation of health information used for the evidence-based decision making of public health actions. Since practical solutions for addressing system transformation and its effect on system management have not been extensively discussed, this study examines an approach to model and analyze the transforming health information system of systems. The process and architecture in the case of the Cambodian malaria surveillance system were modeled using the engineering system multiple-domain matrix modeling framework. By using the attributes of the process, architecture, and the 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 yields the transformation of the system under investigation. By comparing the calculated scores with the results of the simulation test employing an agent-based modeling method, further insights into the process, the limitations, and advantages of the scoring approach were discussed. 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.
- Subjects :
- System of systems
021103 operations research
Computer Networks and Communications
Process (engineering)
Computer science
business.industry
0211 other engineering and technologies
02 engineering and technology
Absolute difference
Interval (mathematics)
computer.software_genre
Industrial engineering
Health informatics
Computer Science Applications
Transformation (function)
Control and Systems Engineering
Systems management
Information system
Electrical and Electronic Engineering
business
computer
Information Systems
Subjects
Details
- ISSN :
- 23737816 and 19328184
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- IEEE Systems Journal
- Accession number :
- edsair.doi...........32de336179220708eadedfeae82a50cb
- Full Text :
- https://doi.org/10.1109/jsyst.2017.2778418