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公众医疗保健专业人员对人工智能在决策过程中影响的认知。

Perception of the Impact of Artificial Intelligence in the Decision-Making Processes of Public Healthcare Professionals.

机构信息

Department of Medical Laboratory Techniques, Al-maarif University College, Ramadi, Al-Anbar, Iraq.

Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad 10021, Iraq.

出版信息

J Environ Public Health. 2022 Jul 13;2022:8028275. doi: 10.1155/2022/8028275. eCollection 2022.

Abstract

Technologies are increasingly independent and play important roles in society. Artificial intelligence (AI) is a branch of science that can improve various environments and processes. The health sector stands out among these contexts, especially ophthalmology and dentistry. Studies evaluating the impact of using these technologies in these contexts are still developing. There are still few studies that assess how AI can impact the decision-making process of health professionals and how it can improve the quality of care provided to these professionals. In this sense, this study aims to evaluate the perception of the impact of AI on the decision-making process of health professionals and the quality of patient care from the perspective of ophthalmologists and dentists. The methodological strategy used was the application of an online questionnaire with eighteen professionals in these areas. Based on the respondents' opinions, we sought to assess how these decision-making processes are affected by the use of technologies and how they impact the quality of patient care. As a result, it was observed that AI has become essential and a facilitator of the diagnostic processes. However, it presents some challenges related to cost, accessibility, AI   professional responsibility, and incentive of agreements.

摘要

技术日益独立,在社会中发挥着重要作用。人工智能(AI)是一门科学分支,可以改善各种环境和流程。在这些背景下,医疗保健领域尤为突出,尤其是眼科和牙科。评估在这些环境中使用这些技术的影响的研究仍在不断发展。仍有少数研究评估 AI 如何影响医疗保健专业人员的决策过程,以及它如何提高向这些专业人员提供的护理质量。从这个意义上说,本研究旨在评估从眼科医生和牙医的角度来看,AI 对医疗保健专业人员决策过程和患者护理质量的影响。所使用的方法策略是在这些领域的 18 名专业人员中应用在线问卷调查。根据受访者的意见,我们试图评估这些决策过程如何受到技术使用的影响,以及它们如何影响患者护理质量。结果表明,人工智能已经成为诊断过程的重要手段和推动者。然而,它也带来了一些与成本、可及性、AI 专业责任以及协议激励相关的挑战。

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