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How can physicians adopt AI-based applications in the United Arab Emirates to improve patient outcomes?

作者信息

Mansour Tarek, Bick Markus

机构信息

ESCP Business School, Paris, France.

ESCP Business School, Information & Operations Management, Berlin, Germany.

出版信息

Digit Health. 2024 Sep 27;10:20552076241284936. doi: 10.1177/20552076241284936. eCollection 2024 Jan-Dec.


DOI:10.1177/20552076241284936
PMID:39351313
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11440542/
Abstract

OBJECTIVE: The enabling and derailing factors for using artificial intelligence (AI)-based applications to improve patient care in the United Arab Emirates (UAE) from the physicians' perspective are investigated. Factors to accelerate the adoption of AI-based applications in the UAE are identified to aid implementation. METHODS: A qualitative, inductive research methodology was employed, utilizing semi-structured interviews with 12 physicians practicing in the UAE. The collected data were analyzed using NVIVO software and grounded theory was used for thematic analysis. RESULTS: This study identified factors specific to the deployment of AI to transform patient care in the UAE. First, physicians must control the applications and be fully trained and engaged in the testing phase. Second, healthcare systems need to be connected, and the AI outcomes need to be easily interpretable by physicians. Third, the reimbursement for AI-based applications should be settled by insurance or the government. Fourth, patients should be aware of and accept the technology before physicians use it to avoid negative consequences for the doctor-patient relationship. CONCLUSIONS: This research was conducted with practicing physicians in the UAE to determine their understanding of enabling and derailing factors for improving patient care through AI-based applications. The importance of involving physicians as the accountable agents for AI tools is highlighted. Public awareness regarding AI in healthcare should be improved to drive public acceptance.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3125/11440542/723fc48e03bf/10.1177_20552076241284936-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3125/11440542/723fc48e03bf/10.1177_20552076241284936-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3125/11440542/723fc48e03bf/10.1177_20552076241284936-fig1.jpg

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A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings.

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