Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions
Abstract Background Health Technology Assessment (HTA) is a crucial tool for evaluating the worth and roles of health technologies, and providing evidence-based guidance for their adoption and use. Artificial intelligence (AI) can enhance HTA processes by improving data collection, analysis, and dec...
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| Format: | Article |
| Language: | English |
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BMC
2025-06-01
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| Series: | Health Economics Review |
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| Online Access: | https://doi.org/10.1186/s13561-025-00645-4 |
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| author | Maryam Ramezani Ahad Bakhtiari Rajabali Daroudi Mohammadreza Mobinizadeh Ali Akbar Fazaeli Alireza Olyaeemanesh Hamid R. Rabiee Maryam Ramezani Hakimeh Mostafavi Saharnaz Sazgarnejad Sanaz Bordbar Amirhossein Takian |
| author_facet | Maryam Ramezani Ahad Bakhtiari Rajabali Daroudi Mohammadreza Mobinizadeh Ali Akbar Fazaeli Alireza Olyaeemanesh Hamid R. Rabiee Maryam Ramezani Hakimeh Mostafavi Saharnaz Sazgarnejad Sanaz Bordbar Amirhossein Takian |
| author_sort | Maryam Ramezani |
| collection | DOAJ |
| description | Abstract Background Health Technology Assessment (HTA) is a crucial tool for evaluating the worth and roles of health technologies, and providing evidence-based guidance for their adoption and use. Artificial intelligence (AI) can enhance HTA processes by improving data collection, analysis, and decision-making. This study aims to explore the opportunities and challenges of utilizing artificial intelligence (AI) in health technology assessment (HTA), with a specific focus on economic dimensions. By leveraging AI’s capabilities, this research examines how innovative tools and methods can optimize economic evaluation frameworks and enhance decision-making processes within the HTA context. Methods This study adopted Arksey and O’Malley’s scoping review framework and conducted a systematic search in PubMed, Scopus, and Web of Science databases. It examined the benefits and challenges of AI integration into HTA, with a focus on economic dimensions. Findings AI significantly enhances HTA outcomes by driving methodological advancements, improving utility, and fostering healthcare innovation. It enables comprehensive assessments through robust data systems and databases. However, ethical considerations such as biases, transparency, and accountability emphasize the need for deliberate planning and policymaking to ensure responsible integration within the HTA framework. Conclusion AI applications in HTA have significant potential to enhance health outcomes and decision-making processes. However, the development of robust data management strategies and regulatory frameworks is essential to ensure effective and ethical implementation. Future research should prioritize the establishment of comprehensive frameworks for AI integration, fostering collaboration among stakeholders, and improving data quality and accessibility on an ongoing basis. |
| format | Article |
| id | doaj-art-448ba6b7a45a4ba8a513b7cd4051af53 |
| institution | OA Journals |
| issn | 2191-1991 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Health Economics Review |
| spelling | doaj-art-448ba6b7a45a4ba8a513b7cd4051af532025-08-20T02:05:46ZengBMCHealth Economics Review2191-19912025-06-0115111110.1186/s13561-025-00645-4Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensionsMaryam Ramezani0Ahad Bakhtiari1Rajabali Daroudi2Mohammadreza Mobinizadeh3Ali Akbar Fazaeli4Alireza Olyaeemanesh5Hamid R. Rabiee6Maryam Ramezani7Hakimeh Mostafavi8Saharnaz Sazgarnejad9Sanaz Bordbar10Amirhossein Takian11Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences (TUMS)Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences (TUMS)Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences (TUMS)National Institute for Health Research, Tehran University of Medical Sciences (TUMS)Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences (TUMS)National Institute for Health Research, Tehran University of Medical Sciences (TUMS)Department of Computer Engineering, Sharif University of TechnologyDepartment of Computer Engineering, Sharif University of TechnologyHealth Equity Research Centre (HERC), Tehran University of Medical Sciences (TUMS)School of Medicine, Tehran University of Medical Sciences (TUMS)Students’ Scientific Research Center, Tehran University of Medical Sciences (TUMS)Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences (TUMS)Abstract Background Health Technology Assessment (HTA) is a crucial tool for evaluating the worth and roles of health technologies, and providing evidence-based guidance for their adoption and use. Artificial intelligence (AI) can enhance HTA processes by improving data collection, analysis, and decision-making. This study aims to explore the opportunities and challenges of utilizing artificial intelligence (AI) in health technology assessment (HTA), with a specific focus on economic dimensions. By leveraging AI’s capabilities, this research examines how innovative tools and methods can optimize economic evaluation frameworks and enhance decision-making processes within the HTA context. Methods This study adopted Arksey and O’Malley’s scoping review framework and conducted a systematic search in PubMed, Scopus, and Web of Science databases. It examined the benefits and challenges of AI integration into HTA, with a focus on economic dimensions. Findings AI significantly enhances HTA outcomes by driving methodological advancements, improving utility, and fostering healthcare innovation. It enables comprehensive assessments through robust data systems and databases. However, ethical considerations such as biases, transparency, and accountability emphasize the need for deliberate planning and policymaking to ensure responsible integration within the HTA framework. Conclusion AI applications in HTA have significant potential to enhance health outcomes and decision-making processes. However, the development of robust data management strategies and regulatory frameworks is essential to ensure effective and ethical implementation. Future research should prioritize the establishment of comprehensive frameworks for AI integration, fostering collaboration among stakeholders, and improving data quality and accessibility on an ongoing basis.https://doi.org/10.1186/s13561-025-00645-4Artificial intelligenceHealth technology assessmentApplicationsEconomic evaluationPolicy-making |
| spellingShingle | Maryam Ramezani Ahad Bakhtiari Rajabali Daroudi Mohammadreza Mobinizadeh Ali Akbar Fazaeli Alireza Olyaeemanesh Hamid R. Rabiee Maryam Ramezani Hakimeh Mostafavi Saharnaz Sazgarnejad Sanaz Bordbar Amirhossein Takian Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions Health Economics Review Artificial intelligence Health technology assessment Applications Economic evaluation Policy-making |
| title | Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions |
| title_full | Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions |
| title_fullStr | Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions |
| title_full_unstemmed | Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions |
| title_short | Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions |
| title_sort | applications of artificial intelligence and the challenges in health technology assessment a scoping review and framework with a focus on economic dimensions |
| topic | Artificial intelligence Health technology assessment Applications Economic evaluation Policy-making |
| url | https://doi.org/10.1186/s13561-025-00645-4 |
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