OBJECTIVES: JCA, operating under the governance of 27 member states, will go into effect next year. Besides considering local factors in their decision-making, the members are also expected to be prepared for individual evaluation as JCA is non-binding. This could result in duplication of effort and increased administrative burden for health technology developers (HTDs) and assessors. This, coupled with the uncertainty of multiple PICOS needing clarity on which PICOS is required by which member and short timelines for submission, presents significant challenges for HTDs. A technology-driven approach is expected to streamline the efforts of the HTDs.

METHODS: We reviewed published articles, opinion papers, and guidance documents to identify technology applications in evidence synthesis, data analysis, dossiers, and economic modeling. The research indicates the need for an integrated “Living HTA” solution that hybridizes technology across the process.

RESULTS: The process should involve four pillars to build a practical framework. The 1^st pillar is integrating artificial intelligence (AI) in evidence-generation activities, automating selected tasks, risk reduction, and resource optimization. The 2^nd pillar is implementing a Living Cost-effectiveness model (CEM) and Living Network meta-analysis (NMA) so that, as new evidence emerges from Living SLR, the CEM and NMA are also near-instantaneous updated. This will be more beneficial due to multiple PICO scenarios. The 3^rd pillar is the utilization of electronic global value dossiers (eGVDs), which will be standardized with advanced search functionalities catering to individual HTA and JCA requirements. The 4^th pillar is the set-up of advanced IT platforms within the JCA stakeholder network to enable rapid exchange of information between assessors and HTDs, creating standardized templates, and recycling the source data.

CONCLUSIONS: With its four pillars, the technology framework is expected to revolutionize the process for assessors and HTDs. However, the acceptability of such a framework depends on the accessors' adoption.