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[HKUMed x EuroScan] Horizon Scanning for Informed Decision-Making in Hong Kong: Needs Prioritization and Resource Allocation through the Lifecycle of Horizon Scanning
十二月 11 @ 4:00 下午 - 6:00 下午
HKAPI has been working with HKU on a Horizon Scanning Project as a pilot project on forward-looking budget planning and informed decision making in healthcare resources allocation Hong Kong. As a partner, the SCAN-2030 team at HKUMed would like to invite you and your colleagues to participate in our upcoming webinar. This event is part of our ongoing effort to promote Horizon Scanning with below the details.
About SCAN-2030
SCAN-2030 is funded by the Research Grants Council (Ref: R7007-22), integrates AI and decision-analytical modelling to assess long-term disease burdens and evaluate the value-for-money of innovative medicines, aiming to establish a robust evidence-based decision making in allocating healthcare resources.
Webinar Details
Theme: Horizon Scanning for Informed Decision-Making in Hong Kong: Needs Prioritization and Resource Allocation through the Lifecycle of Horizon Scanning
Date: December 11, 2024 (Wed)
Time: 4:00–6:00 PM HKT
Platform: Zoom only
Online Registration: https://hku.zoom.us/webinar/register/WN_iWZQ3unWQm2mP8oi2LLafQ#/registration
This webinar, jointly organized by HKUMed and i-HTS, will focus on how Horizon Scanning (HS) can guide resource allocation decisions. Experts will share practical applications and introduce tools for identifying and prioritizing health technologies tailored to specific policy contexts.
Key Objectives
- Understand the role of Horizon Scanning in identifying and prioritizing new technologies
- Explore differences between HS and HTA and their policy implications for resource allocation
- Introduce and demonstrate i-HTS’s new Toolkit for practical applications in Horizon Scanning
Target Audience
Healthcare professionals, hospital administrators, policymakers, and researchers involved in strategic healthcare resource allocation and technology management.
For any inquiries, please feel free to reach out to Ms. Effie Cheung (effiec@hku.hk).
