Nurses' perceptions of the design, implementation, and adoption of machine learning clinical decision support: A descriptive qualitative study.

IF 2.4 3区 医学 Q1 NURSING Journal of Nursing Scholarship Pub Date : 2024-06-19 DOI:10.1111/jnu.13001
Ann M Wieben, Bader G Alreshidi, Brian J Douthit, Marisa Sileo, Pankaj Vyas, Linsey Steege, Andrea Gilmore-Bykovskyi
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Abstract

Introduction: The purpose of this study was to explore nurses' perspectives on Machine Learning Clinical Decision Support (ML CDS) design, development, implementation, and adoption.

Design: Qualitative descriptive study.

Methods: Nurses (n = 17) participated in semi-structured interviews. Data were transcribed, coded, and analyzed using Thematic analysis methods as described by Braun and Clarke.

Results: Four major themes and 14 sub-themes highlight nurses' perspectives on autonomy in decision-making, the influence of prior experience in shaping their preferences for use of novel CDS tools, the need for clarity in why ML CDS is useful in improving practice/outcomes, and their desire to have nursing integrated in design and implementation of these tools.

Conclusion: This study provided insights into nurse perceptions regarding the utility and usability of ML CDS as well as the influence of previous experiences with technology and CDS, change management strategies needed at the time of implementation of ML CDS, the importance of nurse-perceived engagement in the development process, nurse information needs at the time of ML CDS deployment, and the perceived impact of ML CDS on nurse decision making autonomy.

Clinical relevance: This study contributes to the body of knowledge about the use of AI and machine learning (ML) in nursing practice. Through generation of insights drawn from nurses' perspectives, these findings can inform successful design and adoption of ML Clinical Decision Support.

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护士对机器学习临床决策支持的设计、实施和采用的看法:一项描述性定性研究。
导言:本研究旨在探讨护士对机器学习临床决策支持(ML CDS)的设计、开发、实施和采用的看法:设计:定性描述研究:护士(n = 17)参加了半结构化访谈。采用 Braun 和 Clarke 所描述的主题分析方法对数据进行转录、编码和分析:结果:四个主要主题和 14 个次主题突出了护士对决策自主权的看法、先前经验对其使用新型 CDS 工具偏好的影响、明确 ML CDS 有助于改善实践/成果的必要性以及将护理工作纳入这些工具的设计和实施的愿望:本研究深入探讨了护士对 ML CDS 实用性和可用性的看法,以及以往使用技术和 CDS 经验的影响、实施 ML CDS 时所需的变革管理策略、护士认为参与开发过程的重要性、部署 ML CDS 时护士的信息需求,以及 ML CDS 对护士决策自主权的影响:本研究为在护理实践中使用人工智能和机器学习(ML)的知识体系做出了贡献。通过从护士的角度提出见解,这些发现可以为成功设计和采用 ML 临床决策支持提供参考。
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来源期刊
CiteScore
6.30
自引率
5.90%
发文量
85
审稿时长
6-12 weeks
期刊介绍: This widely read and respected journal features peer-reviewed, thought-provoking articles representing research by some of the world’s leading nurse researchers. Reaching health professionals, faculty and students in 103 countries, the Journal of Nursing Scholarship is focused on health of people throughout the world. It is the official journal of Sigma Theta Tau International and it reflects the society’s dedication to providing the tools necessary to improve nursing care around the world.
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