Patients' Perceptions of Integrating AI into Healthcare: Systems Thinking Approach

Bijun Wang, Onur Asan, Mo Mansouri

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

3 Scopus citations

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 languageEnglish
Title of host publicationISSE 2022 - 2022 8th IEEE International Symposium on Systems Engineering, Conference Proceedings
ISBN (Electronic)9781665481823
DOIs
StatePublished - 2022
Event8th IEEE International Symposium on Systems Engineering, ISSE 2022 - Vienna, Austria
Duration: 24 Oct 202226 Oct 2022

Publication series

NameISSE 2022 - 2022 8th IEEE International Symposium on Systems Engineering, Conference Proceedings

Conference

Conference8th IEEE International Symposium on Systems Engineering, ISSE 2022
Country/TerritoryAustria
CityVienna
Period24/10/2226/10/22

Keywords

  • artificial intelligence
  • causal loop diagram
  • healthcare systems
  • systems thinking

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