Artificial Intelligence in Health Economics and Outcomes Research (HEOR): Advancing Cost-Effectiveness Analysis, Reimbursement Decision-Making, and Healthcare Policy
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Volume 14 and Issue 1 > Artificial Intelligence in Health Economics and Outcomes Research (HEOR): Advancing Cost-Effectiveness Analysis, Reimbursement Decision-Making, and Healthcare Policy
Authors
Saksham Sharma, Shushank Mahajan, Sanjana Mehta, Shrey Partap Singh, Sakshi Sharma, Samrat Chauhan, and Sanchit Dhankhar
Keywords
Artificial intelligence, Health economics and outcomes research, Machine learning, Cost-effectiveness analysis, Healthcare policy
Abstract
Background: The application of artificial intelligence (AI) to health economics and outcomes research (HEOR) will change the game in how large, heterogeneous, real-world healthcare datasets can be analyzed.
Purpose: To provide an overview of AI in HEOR, with an emphasis on predictive analytics, real-world evidence creation, cost-effectiveness modelling, and clinical decision support.
Methods: A narrative review approach was used to summarize existing evidence about the use of machine learning (ML), natural language processing (NLP), and deep learning (DL) techniques in the context of HEOR.
Results: AI-driven approaches facilitate higher-quality data analysis, a faster research process, and increased accuracy in predicting health-related and economic outcomes. ML models predict clinical outcomes based on electronic medical records, whereas NLP provides for the interpretation of clinical findings from free-text notes. These technologies are directly related to cost-effectiveness analysis and reimbursement policies.
Conclusion: Although AI has many benefits in terms of its impact on HEOR research, there are still some unresolved issues, such as data security issues, biases in AI algorithms, and the lack of regulatory frameworks.
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How to Cite
Saksham Sharma, Shushank Mahajan, Sanjana Mehta, Shrey Partap Singh, Sakshi Sharma, Samrat Chauhan, and Sanchit Dhankhar. Artificial Intelligence in Health Economics and Outcomes Research (HEOR): Advancing Cost-Effectiveness Analysis, Reimbursement Decision-Making, and Healthcare Policy.
J. Pharm. Technol. Res. Manag.. 2026, 14, 1-20
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