Considering Clinician Competencies for the Implementation of Artificial Intelligence-Based Tools in Health Care: Findings From a Scoping Review.

Considering Clinician Competencies for the Implementation of Artificial Intelligence-Based Tools in Health Care: Findings From a Scoping Review.
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DOI:
10.2196/37478
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发表时间:
2022-11-16
影响因子:
3.2
通讯作者:
Miller, Bonnie M.
Miller, Bonnie M.
中科院分区:
医学3区
文献类型:
--
作者:
Garvey, Kim, V;Craig, Kelly Jean Thomas;Russell, Regina;Novak, Laurie L.;Moore, Don;Miller, Bonnie M.

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基于人工智能(AI)的工具在个体患者和患者人群护理中的使用正在迅速扩大。本文的目的是系统地确定在临床环境中使用AI所需的提供者能力的研究。进行了范围审查,以确定2009年1月1日至2020年5月1日期间发表的文章,这些文章来自MEDLINE、CINAHL和科克伦图书馆数据库,使用与医疗保健专业人员相关的术语进行检索查询(例如,医学、护理和药学)及其在临床教育各个阶段的专业发展,临床实践所有环境中基于人工智能的工具,和专业教育领域的能力和表现。提供了英语语言、人类研究摘要和美国环境的限制。检索识别出3476条记录,其中4条符合纳入标准。这些研究描述了人工智能在临床实践中的应用,并测量了临床医生能力的至少一个方面。虽然许多研究测量了基于人工智能的工具的性能,但只有4项研究测量了临床医生在理解和有效使用所测试的新工具所需的知识,技能或态度方面的性能。这4篇文章主要关注人工智能通过改善信息流和显示来增强患者护理和临床决策的能力,特别是针对医生。虽然许多研究都调查了在医疗保健中使用人工智能技术的潜在有效性,但很少有研究涉及临床医生有效使用人工智能技术所需的特定能力。这凸显了一个关键差距。
The use of artificial intelligence (AI)–based tools in the care of individual patients and patient populations is rapidly expanding. The aim of this paper is to systematically identify research on provider competencies needed for the use of AI in clinical settings. A scoping review was conducted to identify articles published between January 1, 2009, and May 1, 2020, from MEDLINE, CINAHL, and the Cochrane Library databases, using search queries for terms related to health care professionals (eg, medical, nursing, and pharmacy) and their professional development in all phases of clinical education, AI-based tools in all settings of clinical practice, and professional education domains of competencies and performance. Limits were provided for English language, studies on humans with abstracts, and settings in the United States. The searches identified 3476 records, of which 4 met the inclusion criteria. These studies described the use of AI in clinical practice and measured at least one aspect of clinician competence. While many studies measured the performance of the AI-based tool, only 4 measured clinician performance in terms of the knowledge, skills, or attitudes needed to understand and effectively use the new tools being tested. These 4 articles primarily focused on the ability of AI to enhance patient care and clinical decision-making by improving information flow and display, specifically for physicians. While many research studies were identified that investigate the potential effectiveness of using AI technologies in health care, very few address specific competencies that are needed by clinicians to use them effectively. This highlights a critical gap.
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