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后新冠疫情复苏背景下医疗保健领域企业社会责任与人工智能的协调:一种观点

Aligning corporate social responsibility with artificial intelligence in healthcare in the context of the post-COVID-19 recovery: a viewpoint.

作者信息

Gagliardi Anna Roberta, Tomaselli Gianpaolo

机构信息

Department of Engineering, Università LUM Giuseppe Degennaro, Casamassima, Italy.

University of Malta, Msida, Malta.

出版信息

J Health Organ Manag. 2025 Jan 7. doi: 10.1108/JHOM-06-2024-0244.

Abstract

PURPOSE

This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase. The aim is to showcase how this fusion can help tackle healthcare inequalities, enhance accessibility and support long-term sustainability.

DESIGN/METHODOLOGY/APPROACH: Adopting a viewpoint approach, the study leverages existing literature and case studies to analyze the intersection of CSR and AI. It investigates AI's capabilities in predictive analytics, telemedicine and resource management within the framework of CSR principles.

FINDINGS

Integrating AI and CSR can profoundly enhance healthcare delivery by ensuring equitable access, optimizing resource allocation and fostering trust through transparency and ethical standards. This synergy benefits public health and enhances the corporate image and long-term viability of healthcare organizations.

RESEARCH LIMITATIONS/IMPLICATIONS: The study is conceptual and relies on existing literature and case studies. Future research should empirically test the proposed models and frameworks in diverse healthcare settings to validate and refine these insights.

PRACTICAL IMPLICATIONS

The insights from this study can be directly applied by healthcare organizations to develop policies and practices that integrate AI and CSR. This integration can promote ethical standards, enhance operational efficiency and, most importantly, improve patient outcomes.

SOCIAL IMPLICATIONS

Integrating AI and CSR in the healthcare sector carries consequences. It plays a role in promoting fairness among patients, bridging gaps in healthcare services, and boosting trust and independence through the clear and responsible use of AI technologies. This highlights the groundbreaking impact of this research within the healthcare industry.

ORIGINALITY/VALUE: This paper offers a viewpoint perspective on the strategic alignment of AI and CSR, presenting a novel approach to creating resilient healthcare systems in the post-COVID-19 era. It provides healthcare managers and policymakers with valuable insights on leveraging AI within CSR frameworks to achieve sustainable healthcare solutions, thereby contributing significantly to the field.

摘要

目的

本研究探讨在新冠疫情后复苏阶段,企业社会责任(CSR)与人工智能(AI)如何在医疗行业相结合。目的是展示这种融合如何有助于解决医疗不平等问题、提高可及性并支持长期可持续性。

设计/方法/途径:本研究采用观点法,利用现有文献和案例研究来分析企业社会责任与人工智能的交叉点。它在企业社会责任原则框架内研究人工智能在预测分析、远程医疗和资源管理方面的能力。

研究结果

将人工智能与企业社会责任相结合,可以通过确保公平可及性、优化资源分配以及通过透明度和道德标准培养信任,从而深刻提升医疗服务的提供。这种协同作用有利于公共卫生,并提升医疗组织的企业形象和长期生存能力。

研究局限/启示:本研究是概念性的,依赖于现有文献和案例研究。未来的研究应在不同的医疗环境中对所提出的模型和框架进行实证检验,以验证和完善这些见解。

实际意义

医疗组织可以直接应用本研究的见解来制定整合人工智能与企业社会责任的政策和实践。这种整合可以促进道德标准、提高运营效率,最重要的是,改善患者治疗效果。

社会意义

在医疗领域整合人工智能与企业社会责任会产生影响。它在促进患者之间的公平、弥合医疗服务差距以及通过清晰和负责任地使用人工智能技术增强信任和自主性方面发挥作用。这凸显了本研究在医疗行业的开创性影响。

原创性/价值:本文提供了关于人工智能与企业社会责任战略协调的观点视角,提出了在后新冠疫情时代创建有韧性的医疗系统的新方法。它为医疗管理者和政策制定者提供了关于在企业社会责任框架内利用人工智能实现可持续医疗解决方案的宝贵见解,从而为该领域做出了重大贡献。

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