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The Application of Artificial Intelligence in Health Financing: A Scoping Review Publisher



Ramezani M1, 2 ; Takian A1, 2, 3 ; Bakhtiari A3 ; Rabiee HR4 ; Fazaeli AA1 ; Sazgarnejad S5, 6
Authors
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Authors Affiliations
  1. 1. Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Health Equity Research Centre (HERC), Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Global Health and Public Policy, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
  5. 5. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

Source: Cost Effectiveness and Resource Allocation Published:2023


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. © 2023, The Author(s).