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

被引:2
|
作者
Ramezani, Maryam [1 ,2 ]
Takian, Amirhossein [1 ,2 ,3 ]
Bakhtiari, Ahad [3 ]
Rabiee, Hamid R. [4 ]
Fazaeli, Ali Akbar [1 ]
Sazgarnejad, Saharnaz [5 ,6 ]
机构
[1] Univ Tehran Med Sci, Sch Publ Hlth, Dept Hlth Management Policy & Econ, Tehran, Iran
[2] Univ Tehran Med Sci, Hlth Equ Res Ctr HERC, Tehran, Iran
[3] Univ Tehran Med Sci, Sch Publ Hlth, Dept Global Hlth & Publ Policy, Tehran, Iran
[4] Sharif Univ Technol, Dept Comp Engn, Tehran, Iran
[5] Univ Tehran Med Sci, Sch Med, Tehran, Iran
[6] Univ Tehran Med Sci, Sch Publ Hlth, Tehran, Iran
关键词
Artificial intelligence; Health financing; Applications; RESOURCE-ALLOCATION; BIG DATA; EMERGENCY-DEPARTMENT; ECONOMIC BURDEN; INSURANCE; PREDICTION; SERVICE; EXPENDITURE; PREVALENCE; SYSTEM;
D O I
10.1186/s12962-023-00492-2
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
IntroductionArtificial 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.MethodWe 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.ResultsWe 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.ConclusionsTo 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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页数:13
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