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Evidence Generation for JCAs: How Can AI Boost Efficiency and Maintain Quality?
Written on Tuesday, November 12, 2024
Missed our recent webinar on the role of AI in Joint Clinical Assessments (JCAs)? Catch the webinar recording. It will benefit stakeholders involved in health technology assessment (HTA), artificial intelligence (AI) development, and AI regulation by providing a comprehensive debate on the use of AI in JCAs.
Starting in January 2025, as part of the EU HTA regulation, all new oncology and advanced therapy medicinal products will be subject to JCA. As stipulated in the JCA Implementing Act, systematic literature review (SLR) searches should be no older than three months, while the final scope of the JCA will only be issued 100 days prior to the submission deadline. This compressed timeline presents a challenge to ensure SLRs are conducted quickly while maintaining the rigor required for HTA.
The integration of AI in SLRs presents an opportunity to improve the efficiency and accuracy of evidence generation for JCAs. This webinar will explore how AI can support evidence generation for JCAs and consider the potential benefits and challenges of this approach.
The webinar discussion will address the following key questions:
- How can AI tools increase the efficiency of SLRs for JCAs while maintaining quality?
- What are the possible challenges and barriers to implementing AI for SLRs?
- What will it take for HTA organizations to accept AI-supported SLRs? Are there differences in national perspectives?
Moderator:
- Grace Fox, Associate Director – Strategic Market Access, OPEN Health, United States
Speakers:
- Emanuele Arcà, Scientific Office Lead – Strategic Market Access, OPEN Health, The Netherlands
- Farhad Shokraneh, Evidence Synthesis Manager, Oxford University, United Kingdom
- Susanne Hartz, Director, Global Health Outcomes/HTA International, Eli Lilly and Company, United Kingdom
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