As a leading Open Access publisher, Frontiers is committed to empowering not only scientists, but other researchers, innovators and members of the public. As such, highlighting sustainable development and the real-world applications of Drugs Outcomes Research & Policies are a key part to the agenda of Frontiers in Pharmacology.
This Research Topic aims to highlight advancements in Health Economics and Outcomes Research (HEOR) techniques, methods and tools used by the pharmaceutical industry and other non-academic bodies.
This collection encourages contributions from researchers who are engaged in HEOR to provide their insights and forecasts on the ways in which Drugs Outcomes Research & Policies are utilized by industry. Authors are encouraged to identify the challenges that need to be overcome before such advanced approaches, methods and tools become widely and economically viable to be used.
This Research Topic aims to collect articles on the following topics:
- The use of AI/Machine learning in HEOR
- Wearables and Apps as data collection tools
- Automation of clinical evidence reviews, synthesis and economic modelling
- Open-source software (e.g. R) and its use in economic modelling
- Advanced real-world data analysis techniques (e.g. Target Trial Emulation, quantitative bias analysis, federated data analysis)
- Communicating the value of therapies through advance HEOR methods (Demonstrating product value through innovative value assessment and Generalized CEA and addressing health inequalities through Distributional CEA)
- Advanced economic modelling and economic evaluation methods
- Living systematic reviews and meta-analyses
As a leading Open Access publisher, Frontiers is committed to empowering not only scientists, but other researchers, innovators and members of the public. As such, highlighting sustainable development and the real-world applications of Drugs Outcomes Research & Policies are a key part to the agenda of Frontiers in Pharmacology.
This Research Topic aims to highlight advancements in Health Economics and Outcomes Research (HEOR) techniques, methods and tools used by the pharmaceutical industry and other non-academic bodies.
This collection encourages contributions from researchers who are engaged in HEOR to provide their insights and forecasts on the ways in which Drugs Outcomes Research & Policies are utilized by industry. Authors are encouraged to identify the challenges that need to be overcome before such advanced approaches, methods and tools become widely and economically viable to be used.
This Research Topic aims to collect articles on the following topics:
- The use of AI/Machine learning in HEOR
- Wearables and Apps as data collection tools
- Automation of clinical evidence reviews, synthesis and economic modelling
- Open-source software (e.g. R) and its use in economic modelling
- Advanced real-world data analysis techniques (e.g. Target Trial Emulation, quantitative bias analysis, federated data analysis)
- Communicating the value of therapies through advance HEOR methods (Demonstrating product value through innovative value assessment and Generalized CEA and addressing health inequalities through Distributional CEA)
- Advanced economic modelling and economic evaluation methods
- Living systematic reviews and meta-analyses
