TY - GEN
T1 - Patients' Perceptions of Integrating AI into Healthcare
T2 - 8th IEEE International Symposium on Systems Engineering, ISSE 2022
AU - Wang, Bijun
AU - Asan, Onur
AU - Mansouri, Mo
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Artificial intelligence (AI) has become more integrated into healthcare with a promising future. The expansion and application of Artificial Intelligence depend on technologies, policymakers, healthcare providers, as well as patients. Nevertheless, how to systematically understand AI interventions from the patients' perspectives should be further explored. In this paper, we first outline patients' perceptions of integrating AI into healthcare systems through a brief survey-based case study. Next, we emphasized the challenges and concerns of applying AI to complex healthcare systems while considering the components' interactions. Then a three-layer structure was proposed to highlight the complexity of Human-AI-Technology interactions linked to the governance system. Moreover, a causal loop diagram (CLD) is established to analyze the dynamic and causality of the adoption of AI in healthcare inspired by the systems thinking approach to help understand the patients' attitudes and perceptions of the whole picture.
AB - Artificial intelligence (AI) has become more integrated into healthcare with a promising future. The expansion and application of Artificial Intelligence depend on technologies, policymakers, healthcare providers, as well as patients. Nevertheless, how to systematically understand AI interventions from the patients' perspectives should be further explored. In this paper, we first outline patients' perceptions of integrating AI into healthcare systems through a brief survey-based case study. Next, we emphasized the challenges and concerns of applying AI to complex healthcare systems while considering the components' interactions. Then a three-layer structure was proposed to highlight the complexity of Human-AI-Technology interactions linked to the governance system. Moreover, a causal loop diagram (CLD) is established to analyze the dynamic and causality of the adoption of AI in healthcare inspired by the systems thinking approach to help understand the patients' attitudes and perceptions of the whole picture.
KW - artificial intelligence
KW - causal loop diagram
KW - healthcare systems
KW - systems thinking
UR - http://www.scopus.com/inward/record.url?scp=85146942992&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146942992&partnerID=8YFLogxK
U2 - 10.1109/ISSE54508.2022.10005383
DO - 10.1109/ISSE54508.2022.10005383
M3 - Conference contribution
AN - SCOPUS:85146942992
T3 - ISSE 2022 - 2022 8th IEEE International Symposium on Systems Engineering, Conference Proceedings
BT - ISSE 2022 - 2022 8th IEEE International Symposium on Systems Engineering, Conference Proceedings
Y2 - 24 October 2022 through 26 October 2022
ER -