TY - JOUR
T1 - Transitional complexity of health information system of systems
T2 - Managing by the engineering systems multiple-domain modeling approach
AU - Okami, Suguru
AU - Kohtake, Naohiko
N1 - Funding Information:
Manuscript received May 16, 2017; revised September 17, 2017 and November 17, 2017; accepted November 26, 2017. Date of publication December 14, 2017; date of current version February 22, 2019. This work was conducted as a part of the G-SPASE Program supported by the Japanese Ministry of Education, Culture, Sports, Science and Technology and the Space Application Promotion Program funded by the NEC Corporation. (Corresponding author: Suguru Okami.) The authors are with the Graduate School of System Design and Management, Keio University, Yokohama 223-8526, Japan (e-mail: yiu68252@nifty.com; kohtake@sdm.keio.ac.jp). Digital Object Identifier 10.1109/JSYST.2017.2778418
Publisher Copyright:
© 2017 IEEE
PY - 2019/3
Y1 - 2019/3
N2 - 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.
AB - 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.
KW - Complex system engineering
KW - Health information management
KW - Modeling
KW - Network theory (graphs)
KW - System of systems (SoS) engineering
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U2 - 10.1109/JSYST.2017.2778418
DO - 10.1109/JSYST.2017.2778418
M3 - Article
AN - SCOPUS:85038812381
SN - 1932-8184
VL - 13
SP - 952
EP - 963
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 1
M1 - 8207618
ER -