TY - GEN
T1 - Systems Thinking Approach to an Artificial Intelligence Reality within Healthcare
T2 - 7th IEEE International Symposium on Systems Engineering, ISSE 2021
AU - Strachna, Olga
AU - Asan, Onur
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/13
Y1 - 2021/9/13
N2 - The healthcare system is undergoing a transformational change due to the buildup of frustration against rising costs, inefficient services, long wait times and declining population health outcomes in the United States (US). At the same time, there is a growing excitement about the deployment of artificial intelligence (AI) technologies in order to mitigate these inefficiencies. Many of the AI initiatives in healthcare are generally focused on highly domain specific solutions. There has not been widespread adoption of systemic solutions proposed. Improving care coordination is a national priority in the US and it is thought to be critical to avoiding unnecessarily hospitalizations. Given the increase in the aging population and the mounting complexity of care dynamics as patients age, the time is ripe to apply systems thinking approaches to model the dynamics of these complex care trajectories with the implication of utilizing AI technologies to augment care transitions. This paper outlines the rationale and approach for utilizing systems thinking in AI implementation design focused on improving care coordination as a driver for high value care.
AB - The healthcare system is undergoing a transformational change due to the buildup of frustration against rising costs, inefficient services, long wait times and declining population health outcomes in the United States (US). At the same time, there is a growing excitement about the deployment of artificial intelligence (AI) technologies in order to mitigate these inefficiencies. Many of the AI initiatives in healthcare are generally focused on highly domain specific solutions. There has not been widespread adoption of systemic solutions proposed. Improving care coordination is a national priority in the US and it is thought to be critical to avoiding unnecessarily hospitalizations. Given the increase in the aging population and the mounting complexity of care dynamics as patients age, the time is ripe to apply systems thinking approaches to model the dynamics of these complex care trajectories with the implication of utilizing AI technologies to augment care transitions. This paper outlines the rationale and approach for utilizing systems thinking in AI implementation design focused on improving care coordination as a driver for high value care.
KW - artificial intelligence
KW - care coordination
KW - healthcare informatics
KW - healthcare systems
KW - systems engineering
KW - systems thinking
KW - value-based care
UR - http://www.scopus.com/inward/record.url?scp=85119098246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119098246&partnerID=8YFLogxK
U2 - 10.1109/ISSE51541.2021.9582546
DO - 10.1109/ISSE51541.2021.9582546
M3 - Conference contribution
AN - SCOPUS:85119098246
T3 - ISSE 2021 - 7th IEEE International Symposium on Systems Engineering, Proceedings
BT - ISSE 2021 - 7th IEEE International Symposium on Systems Engineering, Proceedings
Y2 - 13 September 2021 through 15 September 2021
ER -