The application of artificial intelligence in health financing: a scoping review.

IF 1.7 4区医学 Q3 HEALTH POLICY & SERVICES

Cost Effectiveness and Resource Allocation Pub Date : 2023-11-06 DOI:10.1186/s12962-023-00492-2

Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, Hamid R Rabiee, Ali Akbar Fazaeli, Saharnaz Sazgarnejad

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引用次数: 0

Abstract

Introduction: Artificial Intelligence (AI) represents a significant advancement in technology, and it is crucial for policymakers to incorporate AI thinking into policies and to fully explore, analyze and utilize massive data and conduct AI-related policies. AI has the potential to optimize healthcare financing systems. This study provides an overview of the AI application domains in healthcare financing.

Method: We conducted a scoping review in six steps: formulating research questions, identifying relevant studies by conducting a comprehensive literature search using appropriate keywords, screening titles and abstracts for relevance, reviewing full texts of relevant articles, charting extracted data, and compiling and summarizing findings. Specifically, the research question sought to identify the applications of artificial intelligence in health financing supported by the published literature and explore potential future applications. PubMed, Scopus, and Web of Science databases were searched between 2000 and 2023.

Results: We discovered that AI has a significant impact on various aspects of health financing, such as governance, revenue raising, pooling, and strategic purchasing. We provide evidence-based recommendations for establishing and improving the health financing system based on AI.

Conclusions: To ensure that vulnerable groups face minimum challenges and benefit from improved health financing, we urge national and international institutions worldwide to use and adopt AI tools and applications.

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人工智能在医疗融资中的应用：范围界定综述。

引言：人工智能代表着技术的重大进步，决策者将人工智能思维纳入政策，充分探索、分析和利用海量数据，并制定人工智能相关政策至关重要。人工智能有潜力优化医疗融资系统。本研究概述了人工智能在医疗融资中的应用领域。方法：我们分六个步骤进行了范围界定审查：制定研究问题，通过使用适当的关键词进行全面的文献搜索来确定相关研究，筛选标题和摘要的相关性，审查相关文章的全文，绘制提取的数据图表，以及汇编和总结研究结果。具体而言，该研究问题旨在确定人工智能在已发表文献支持的卫生融资中的应用，并探索未来的潜在应用。PubMed、Scopus和Web of Science数据库在2000年至2023年间进行了搜索。结果：我们发现人工智能对医疗融资的各个方面都有重大影响，如治理、收入筹集、资金池和战略采购。我们为建立和改进基于人工智能的卫生融资系统提供了循证建议。结论：为了确保弱势群体面临的挑战最小，并从改善的卫生融资中受益，我们敦促世界各地的国家和国际机构使用和采用人工智能工具和应用程序。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cost Effectiveness and Resource Allocation HEALTH POLICY & SERVICES-

CiteScore

3.40

自引率

4.30%

发文量

审稿时长

34 weeks

期刊介绍： Cost Effectiveness and Resource Allocation is an Open Access, peer-reviewed, online journal that considers manuscripts on all aspects of cost-effectiveness analysis, including conceptual or methodological work, economic evaluations, and policy analysis related to resource allocation at a national or international level. Cost Effectiveness and Resource Allocation is aimed at health economists, health services researchers, and policy-makers with an interest in enhancing the flow and transfer of knowledge relating to efficiency in the health sector. Manuscripts are encouraged from researchers based in low- and middle-income countries, with a view to increasing the international economic evidence base for health.