缩小技能差距:评估人工智能辅助护理人员平台,支持护理人员以富有同情心的方式提供协议化治疗。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01
William R Kearns, Jessica Bertram, Myra Divina, Lauren Kemp, Yinzhou Wang, Alex Marin, Trevor Cohen, Weichao Yuwen
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引用次数: 0

摘要

尽管心理健康问题的发病率高、负担重,但全球却缺少心理健康服务提供者。人工智能(AI)方法被认为是解决这一短缺问题的一种方法,它可以在提供医疗服务时为接受过较少培训的提供者提供支持。为此,我们开发了人工智能辅助医疗服务提供者平台(A2P2),这是一个基于文本的虚拟治疗界面,其中包含一个回复建议功能,可支持医疗服务提供者以移情的方式提供协议治疗。我们对具有和不具有心理健康治疗专业知识的提供者进行了研究,让他们使用带有(干预)和不带有(控制)人工智能辅助功能的平台进行治疗。经评估,与对照组相比,人工智能辅助系统在两组用户中的响应时间明显缩短了 29.34% (p=0.002),移情响应准确率提高了三倍 (p=0.0001),目标建议准确率提高了 66.67% (p=0.001)。两组用户都认为该系统具有极佳的可用性。
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Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy.

Despite the high prevalence and burden of mental health conditions, there is a global shortage of mental health providers. Artificial Intelligence (AI) methods have been proposed as a way to address this shortage, by supporting providers with less extensive training as they deliver care. To this end, we developed the AI-Assisted Provider Platform (A2P2), a text-based virtual therapy interface that includes a response suggestion feature, which supports providers in delivering protocolized therapies empathetically. We studied providers with and without expertise in mental health treatment delivering a therapy session using the platform with (intervention) and without (control) AI-assistance features. Upon evaluation, the AI-assisted system significantly decreased response times by 29.34% (p=0.002), tripled empathic response accuracy (p=0.0001), and increased goal recommendation accuracy by 66.67% (p=0.001) across both user groups compared to the control. Both groups rated the system as having excellent usability.

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