October 16, 2024
Title: Evidence Generation for JCAs: How Can AI Boost Efficiency and Maintain Quality?
Wednesday, October 16, 2024
10:00AM EDT |2:00PM UTC | 4:00pm CEST
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Description
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, 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 compacted 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 JCA and consider the potential benefits and challenges.
This webinar 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 Joint Clinical Assessments (JCAs).
The moderator, Emanuele Arcà, will open the panel by addressing the challenges of JCAs in the context of the European Union (EU) HTA process, the potential of AI to expedite systematic literature reviews (SLRs), and reflect on HTA stakeholder perceptions based on recent research by OPEN Health.
Each of the panelists will be given 10 minutes to present their perspective. Farhad Shokraneh will discuss the current state of research on AI use in SLRs, highlighting opportunities and challenges from an academic perspective. Another representative will discuss the industry perspective for including AI in the SLR process, highlighting efficiency gains and implementation challenges. Another representative from academia will provide insight into EU HTA regulation and challenges that could be solved by AI.
Learning Objectives
- How AI tools can increase the efficiency and turnaround times for SLRs for JCAs while maintaining quality
- Discussing the possible challenges and barriers to implementing AI for SLRs
- Brainstorming HTA organizations' needs in order to accept AI methods for SLRs
- Assessing if there are differences in national perspectives
- Implementing steps that can be taken to ensure appropriate, reliable, and transparent use of AI for preparing SLRs in the JCA context
Moderator:
Emanuele Arcà, MSC, Scientific Office Lead - Strategic Market Access, OPEN Health, Rotterdam, The Netherlands
Speakers:
Farhad Shokraneh, PhD, Evidence Synthesis Manager, Oxford University, United Kingdom
Brought to you by: OPEN Health
Please note: On the day of the scheduled webinar, the first 1000 registered participants will be accepted into the webinar. For those who are unable to attend, or would like to review the webinar at a later date, the full-length webinar recording will be made available at the ISPOR Educational Webinar Series webpage approximately 2 days after the scheduled Webinar. Reservations are on a first-come, first-served basis.