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人工智能在能源管理中的应用:提高意大利医院的效率。

AI integration in energy management: enhancing efficiency in Italian hospitals.

作者信息

Pariso Paolo, Picariello Michele, Marino Alfonso

机构信息

Università Degli Studi Della Campania, L. Vanvitelli "- Dipartimento di Ingegneria, Via Roma, 29, Aversa (CE), Italy.

出版信息

Health Econ Rev. 2025 May 19;15(1):40. doi: 10.1186/s13561-025-00638-3.

DOI:10.1186/s13561-025-00638-3
PMID:40388050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12087131/
Abstract

BACKGROUND

In the rapidly evolving healthcare landscape, artificial intelligence (AI) is revolutionizing hospital operations by enhancing operational efficiency and patient care. This study focuses on the integration of AI in energy management within Italian hospitals and the role of energy managers.

METHODS

A comprehensive questionnaire was developed to understand current practices, challenges, and opportunities in AI adoption within hospital energy management. The study targeted regions in Italy with the highest concentration of hospital energy managers. A quantitative approach was employed, and the collected data were statistically analysed for reliability and validity using SPSS.

RESULTS

The analysis revealed significant benefits of integrating AI in energy management, including optimized energy consumption, predictive maintenance, and greater sustainability. Energy managers' roles are evolving to leverage AI technologies effectively, ensuring compliance with energy regulations and promoting eco-friendly practices.

CONCLUSIONS

This research underscores AI's transformative potential in creating smarter, greener, and more efficient hospital environments. The findings highlight the importance of adopting AI-driven energy management solutions to enhance hospital efficiency. Future trends indicate further advancements in AI applications, necessitating ongoing adaptation and training for energy managers to exploit these technologies fully.

摘要

背景

在快速发展的医疗保健领域,人工智能(AI)正通过提高运营效率和改善患者护理,给医院运营带来变革。本研究聚焦于人工智能在意大利医院能源管理中的整合以及能源管理者的作用。

方法

设计了一份综合问卷,以了解医院能源管理中采用人工智能的当前做法、挑战和机遇。该研究针对意大利医院能源管理者最为集中的地区。采用定量方法,并使用SPSS对收集的数据进行可靠性和有效性的统计分析。

结果

分析显示,在能源管理中整合人工智能有显著益处,包括优化能源消耗、预测性维护以及更高的可持续性。能源管理者的角色正在演变,以便有效利用人工智能技术,确保符合能源法规并推广环保做法。

结论

本研究强调了人工智能在创建更智能、更绿色和更高效医院环境方面的变革潜力。研究结果凸显了采用人工智能驱动的能源管理解决方案以提高医院效率的重要性。未来趋势表明人工智能应用将进一步发展,这就需要能源管理者持续进行调整和培训,以便充分利用这些技术。

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本文引用的文献

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Why Some Nonelderly Adult Medicaid Enrollees Appear Ineligible Based on Their Annual Income.为什么一些非老年成年医疗补助参保者根据其年收入看似不符合条件。
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Fairness of artificial intelligence in healthcare: review and recommendations.人工智能在医疗保健中的公平性:综述与建议。
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