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在阿拉伯联合酋长国,医生如何采用基于人工智能的应用程序来改善患者治疗效果?

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.

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

目的

从医生的角度调查在阿拉伯联合酋长国(阿联酋)使用基于人工智能(AI)的应用程序改善患者护理的促进因素和阻碍因素。确定加速阿联酋采用基于AI的应用程序的因素,以协助实施。

方法

采用定性归纳研究方法,对阿联酋12名执业医生进行半结构化访谈。使用NVIVO软件对收集的数据进行分析,并运用扎根理论进行主题分析。

结果

本研究确定了在阿联酋部署人工智能以改变患者护理的特定因素。首先,医生必须控制应用程序,并在测试阶段接受充分培训并参与其中。其次,医疗系统需要联网,并且AI结果需要让医生易于理解。第三,基于AI的应用程序的报销应由保险公司或政府解决。第四,在医生使用该技术之前,患者应该了解并接受该技术,以避免对医患关系产生负面影响。

结论

本研究是与阿联酋的执业医生合作进行的,以确定他们对通过基于AI的应用程序改善患者护理的促进因素和阻碍因素的理解。强调了让医生作为AI工具的责任主体参与的重要性。应提高公众对医疗保健中AI的认识,以推动公众接受。

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

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