Using System-of-Systems Optimization for Healthcare: A Use Case in Radiation Oncology

Alex Price, Nels Knutson, Cihan Dagli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

System-of-systems (SoS) thinking and optimization can applied in the setting of healthcare, specifically radiation oncology. The SoS example investigated was the radiation treatment planning process. A hypothetical set of software and staffing positions were considered as systems that each had a specific set of characteristics, capabilities, and interfaces that impact the overall operation of the SoS. This was a proof of concept study. To improve patient care and limit waste within this process, a Fuzzy Inference System (FIS) was developed based off the key performance attributes (KPAs) of accuracy, safety, affordability, timeliness, and robustness. The equation defined KPAs were used to calculate the overall fitness value in a genetic algorithm to find the optimized meta-architecture. Using a SoS fuzzy inference optimization approach can potentially limit waste and improve overall healthcare operations.

Original languageEnglish
Title of host publicationSysCon 2022 - 16th Annual IEEE International Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665439923
DOIs
StatePublished - 2022
Event16th Annual IEEE International Systems Conference, SysCon 2022 - Virtual, Online, Canada
Duration: Apr 25 2022May 23 2022

Publication series

NameSysCon 2022 - 16th Annual IEEE International Systems Conference, Proceedings

Conference

Conference16th Annual IEEE International Systems Conference, SysCon 2022
Country/TerritoryCanada
CityVirtual, Online
Period04/25/2205/23/22

Keywords

  • Healthcare
  • Optimization
  • System-of-Systems

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