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

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...

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Main Authors: Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, Hamid R. Rabiee, Ali Akbar Fazaeli, Saharnaz Sazgarnejad
Format: Article
Language:English
Published: BMC 2023-11-01
Series:Cost Effectiveness and Resource Allocation
Subjects:
Online Access:https://doi.org/10.1186/s12962-023-00492-2
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author Maryam Ramezani
Amirhossein Takian
Ahad Bakhtiari
Hamid R. Rabiee
Ali Akbar Fazaeli
Saharnaz Sazgarnejad
author_facet Maryam Ramezani
Amirhossein Takian
Ahad Bakhtiari
Hamid R. Rabiee
Ali Akbar Fazaeli
Saharnaz Sazgarnejad
author_sort Maryam Ramezani
collection DOAJ
description 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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spelling doaj.art-ddf1e962d30045a6806d8c95b1c07fe82023-11-12T12:19:04ZengBMCCost Effectiveness and Resource Allocation1478-75472023-11-0121111310.1186/s12962-023-00492-2The application of artificial intelligence in health financing: a scoping reviewMaryam Ramezani0Amirhossein Takian1Ahad Bakhtiari2Hamid R. Rabiee3Ali Akbar Fazaeli4Saharnaz Sazgarnejad5Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical SciencesDepartment of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical SciencesDepartment of Global Health and Public Policy, School of Public Health, Tehran University of Medical SciencesDepartment of Computer Engineering, Sharif University of TechnologyDepartment of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical SciencesSchool of Medicine, Tehran University of Medical SciencesAbstract 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.https://doi.org/10.1186/s12962-023-00492-2Artificial intelligenceHealth financingApplications
spellingShingle Maryam Ramezani
Amirhossein Takian
Ahad Bakhtiari
Hamid R. Rabiee
Ali Akbar Fazaeli
Saharnaz Sazgarnejad
The application of artificial intelligence in health financing: a scoping review
Cost Effectiveness and Resource Allocation
Artificial intelligence
Health financing
Applications
title The application of artificial intelligence in health financing: a scoping review
title_full The application of artificial intelligence in health financing: a scoping review
title_fullStr The application of artificial intelligence in health financing: a scoping review
title_full_unstemmed The application of artificial intelligence in health financing: a scoping review
title_short The application of artificial intelligence in health financing: a scoping review
title_sort application of artificial intelligence in health financing a scoping review
topic Artificial intelligence
Health financing
Applications
url https://doi.org/10.1186/s12962-023-00492-2
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