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  1. Article ; Online: Research agenda for using artificial intelligence in health governance

    Maryam Ramezani / Amirhossein Takian / Ahad Bakhtiari / Hamid R. Rabiee / Sadegh Ghazanfari / Saharnaz Sazgarnejad

    BioData Mining, Vol 16, Iss 1, Pp 1-

    interpretive scoping review and framework

    2023  Volume 18

    Abstract: Abstract Background The governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches that can minimize ... ...

    Abstract Abstract Background The governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches that can minimize adverse consequences of policies. Hence, there is compelling evidence of a distinct outlook on the health ecosystem using artificial intelligence (AI). Therefore, this study aimed to investigate the roles of AI and its applications in health system governance through an interpretive scoping review of current evidence. Method This study intended to offer a research agenda and framework for the applications of AI in health systems governance. To include shreds of evidence with a greater focus on the application of AI in health governance from different perspectives, we searched the published literature from 2000 to 2023 through PubMed, Scopus, and Web of Science Databases. Results Our findings showed that integrating AI capabilities into health systems governance has the potential to influence three cardinal dimensions of health. These include social determinants of health, elements of governance, and health system tasks and goals. AI paves the way for strengthening the health system's governance through various aspects, i.e., intelligence innovations, flexible boundaries, multidimensional analysis, new insights, and cognition modifications to the health ecosystem area. Conclusion AI is expected to be seen as a tool with new applications and capabilities, with the potential to change each component of governance in the health ecosystem, which can eventually help achieve health-related goals.
    Keywords Artificial intelligence ; Health system ; Governance ; Stewardship ; Framework ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Analysis ; QA299.6-433
    Subject code 360
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Health System Response to Refugees’ and Migrants’ Health in Iran

    Ahad Bakhtiari / Amirhossein Takian / Alireza Olyaeemanesh / Masoud Behzadifar / Afsaneh Takbiri / Saharnaz Sazgarnejad / Sahar Kargar

    International Journal of Public Health, Vol

    A Strengths, Weaknesses, Opportunities, and Threats Analysis and Policy Recommendations

    2023  Volume 68

    Abstract: Objective: Iran is one of the main hosts of Afghan refugees. This study aims to provide comprehensive evidence to increase Afghan migrants’ access to healthcare services in Iran.Methods: To assess the health system’s response to Afghan migrants in Iran, ... ...

    Abstract Objective: Iran is one of the main hosts of Afghan refugees. This study aims to provide comprehensive evidence to increase Afghan migrants’ access to healthcare services in Iran.Methods: To assess the health system’s response to Afghan migrants in Iran, we conducted three phases for SWOT analysis, including: 1-developing a review and comprehensive analysis of documents, laws, and, programs, 2-conducting semi-structured interviews with policymakers and experts, and 3-mapping the results through the Levesque’s conceptual framework for healthcare access.Results: We evaluated the response of the health system to Afghan migrants’ health needs in three domains: 1-Approachability and ability to perceive migrants; 2-Ability to reach, engage, and availability and accommodation and appropriateness; 3-The ability to pay and affordability. For each of the three domains, we identified strengths, weaknesses, opportunities, and threats, complemented with evidence-based suggestions to improve migrants’ access to needed healthcare services.Conclusion: Given the rising trend of immigration and deteriorating financial crises, we recommend appropriate strategies for the adoption of specialized focus services, gateway services, and restricted services. Also simplifying financial procedures, and implementing innovative insurance mechanisms are essential.
    Keywords migrant and refugee health ; healthcare access ; SWOT analysis ; health systems ; Iran ; Public aspects of medicine ; RA1-1270
    Subject code 360
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: The application of artificial intelligence in health financing

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

    Cost Effectiveness and Resource Allocation, Vol 21, Iss 1, Pp 1-

    a scoping review

    2023  Volume 13

    Abstract: 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- ... ...

    Abstract 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.
    Keywords Artificial intelligence ; Health financing ; Applications ; Medicine (General) ; R5-920
    Subject code 360
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: A Bibliometric Analysis of Artificial Intelligence Revolutions in Health-related SDGs

    Maryam Ramezani / Amirhossein Takian / Ahad Bakhtiari / Hamid R. Rabiee / Saharnaz Sazgarnejad

    Health Technology Assessment in Action, Vol 7, Iss

    2023  Volume 4

    Abstract: Abstract Background: In line with the advancement of Artificial Intelligence (AI), innovative solutions have been designed to improve healthrelated Sustainable Development Goals (SDGs). Accordingly, there is an increasing trend in the realm of AI and SDG ...

    Abstract Abstract Background: In line with the advancement of Artificial Intelligence (AI), innovative solutions have been designed to improve healthrelated Sustainable Development Goals (SDGs). Accordingly, there is an increasing trend in the realm of AI and SDG research areas. Objectives: This study aimed to analyze the trends and patterns of AI research in health-related SDGs using bibliometric analysis. Methods: The bibliometric approach facilitated the identification of key terms and countries from previous research. We used VOSviewer to map and analyze data obtained from three databases: Scopus, Web of Science, and PubMed. Results: Our findings illustrated that research on health has been a popular area of study in recent years. In particular, we observed a significant increase in research on AI in health-related SDGs during 2015 - 2022. Conclusions: This study provides insights into the trends and patterns of AI research in health-related SDGs using bibliometric analysis. The findings can guide future research by identifying key terms that require further investigation.
    Keywords Artificial intelligence ; Revolutions ; Health ; SDGs ; Economic biology ; QH705-705.5
    Subject code 001
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Tehran University of Medical Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Measuring progress toward Universal Health Coverage in Iran

    Zhaleh Abdi / Rezvaneh Alvandi / Bahar Haghdoost / Saharnaz Sazgarnejad / Elham Ahmadnezhad / Behzad Najafi / Iraj Harirchi

    Journal of Biostatistics and Epidemiology, Vol 8, Iss

    two years after the implementation of the Health Transformation Plan

    2022  Volume 2

    Abstract: Background and Objectives: One of the most important 2015-post agendas of countries’ health systems is achieving Universal Health Coverage (UHC), so the countries should monitor the taken activities. Ths study aimed to investigate the Universal UHC ... ...

    Abstract Background and Objectives: One of the most important 2015-post agendas of countries’ health systems is achieving Universal Health Coverage (UHC), so the countries should monitor the taken activities. Ths study aimed to investigate the Universal UHC status two years after Health Transformation Plan in Iran. Methods: Household Income and Expenditure Survey were used to estimate financial protection indicators in 2016. Estimation for service coverage index provided by international databases was applied at the country level. Indicators of financial protection and service coverage were evaluated in relation to each other using the World Health Organization joint levels assessment method, which indicates UHC attainment in terms of a plot with four zones. The relationship was estimated for the entire population, first quintile, and fifth quintile in 2000, 2017, and 2030. Results: About 15.85% of households endured catastrophic health expenditures at the 10% threshold. Accordingly, Iran is on the border between zones 1 and 2 in 2017 in terms of achieving UHC and will move to zone 1 in 2030 with the current trend. Conclusion: Iran did not attain UHC in 2000. It seems and has not achieved UHC in 2017 either. Even with improved service coverage, achieving UHC by 2030 may seem impossible with the current trends.
    Keywords Financial Risk Protection ; Health Survey ; Health Transformation Plan ; Universal Health Coverage ; Sustainable Development Goals ; Biology (General) ; QH301-705.5 ; Probabilities. Mathematical statistics ; QA273-280
    Subject code 360
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher Tehran University of Medical Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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