TY - GEN
T1 - Using System-of-Systems Optimization for Healthcare
T2 - 16th Annual IEEE International Systems Conference, SysCon 2022
AU - Price, Alex
AU - Knutson, Nels
AU - Dagli, Cihan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Healthcare
KW - Optimization
KW - System-of-Systems
UR - http://www.scopus.com/inward/record.url?scp=85130783470&partnerID=8YFLogxK
U2 - 10.1109/SysCon53536.2022.9773938
DO - 10.1109/SysCon53536.2022.9773938
M3 - Conference contribution
AN - SCOPUS:85130783470
T3 - SysCon 2022 - 16th Annual IEEE International Systems Conference, Proceedings
BT - SysCon 2022 - 16th Annual IEEE International Systems Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 April 2022 through 23 May 2022
ER -