Managing health information system-of-systems by engineering systems multiple-domain modeling approach considering spatiotemporal dynamics

Suguru Okami, Naohiko Kohtake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Despite the substantial efforts of various stakeholders, numerous people do not have sufficient access to healthcare services. Though the reliability and timeliness of the health information collected in the healthcare system play critical roles in realizing appropriate healthcare resource allocation, the quality of the health information continues to be of concern. Because the health information system is a system-of-systems that transforms over time in response to the changing environment and needs of the stakeholders, it is important to understand the conditions of transitioning it continuously to improve the data quality. This study examined the continuous management of the health information system-of-systems by the engineering systems multiple-domain modeling approach. The engineering systems multiple-domain matrix framework was applied to model the Cambodian malaria surveillance system. By including the spatiotemporal dynamics of the environmental attributes in the model along with the architectural and process transformation, the transitions of the relative weights of the constituent systems were scored at each interval of time. These scores could be used to optimize the healthcare resource allocation continuously, whereas the considered architectural, process, and environmental changes could contribute to the sustained healthcare access by people.

Original languageEnglish
Title of host publication4th IEEE International Symposium on Systems Engineering, ISSE 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538644461
DOIs
Publication statusPublished - 2018 Nov 26
Event4th IEEE International Symposium on Systems Engineering, ISSE 2018 - Roma, Italy
Duration: 2018 Oct 12018 Oct 3

Other

Other4th IEEE International Symposium on Systems Engineering, ISSE 2018
CountryItaly
CityRoma
Period18/10/118/10/3

Keywords

  • Complex systems
  • Engineering systems
  • Health information system
  • Modeling
  • Spatiotemporal dynamics
  • System-of-systems

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

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    Okami, S., & Kohtake, N. (2018). Managing health information system-of-systems by engineering systems multiple-domain modeling approach considering spatiotemporal dynamics. In 4th IEEE International Symposium on Systems Engineering, ISSE 2018 - Proceedings [8544415] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SysEng.2018.8544415