Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | ISSE 2022 - 2022 8th IEEE International Symposium on Systems Engineering, Conference Proceedings |
| ISBN (Electronic) | 9781665481823 |
| DOIs | |
| State | Published - 2022 |
| Event | 8th IEEE International Symposium on Systems Engineering, ISSE 2022 - Vienna, Austria Duration: 24 Oct 2022 → 26 Oct 2022 |
Publication series
| Name | ISSE 2022 - 2022 8th IEEE International Symposium on Systems Engineering, Conference Proceedings |
|---|
Conference
| Conference | 8th IEEE International Symposium on Systems Engineering, ISSE 2022 |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 24/10/22 → 26/10/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- artificial intelligence
- causal loop diagram
- healthcare systems
- systems thinking
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