Presentation (CTI)

OBJECTIVES: Novel cancer therapeutics drive ongoing debate around rising healthcare expenditures in the US, underscoring the need for reproducible health economic models to support fair pricing and patient access. Despite this need, most cancer health economic and outcomes research (HEOR) models are developed in isolation, inconsistently documented, and rarely shared, limiting transparency, reuse, and cumulative scientific value. To address these challenges, we designed and developed a decentralized, open source platform that enables secure sharing, validation, and reuse of cancer health economic models while aligning incentives for model developers.
METHODS: The site was developed as an NIH-funded, web-based platform featuring ontology-driven search, user and model management, structured model upload, CADTH-aligned validation workflows, and licensing mechanisms to support attribution and reuse. A functional prototype was iteratively refined through usability testing. A panel of international domain experts (n=11) was recruited to evaluate the system through structured usability testing using the System Usability Scale (SUS). Success criteria were ≥80% task completion and SUS ≥68.
RESULTS: All participants completed 100% of the assigned tasks successfully. SUS scores exceeded the benchmark threshold, indicating good overall usability. Users were able to efficiently upload, locate, and evaluate models using standardized metadata and validation criteria. Key innovations included integrated licensing guidance, multi-file model upload with structured documentation; embedded CADTH-based validation support, and ontology-driven search using NCIt hierarchical expansion. Reviewers identified strong potential for improving transparency, reducing duplication, and accelerating evidence generation in health economics.
CONCLUSIONS: This web-based platform demonstrated the feasibility of a scalable, incentive-aligned ecosystem for open source HEOR modeling. By combining standardized validation, transparent documentation, and licensing mechanisms, the platform supported reproducibility and encouraged broader participation and reuse. Future work will expand interactive features, scale evaluation efforts, incorporate additional data sources, and broaden stakeholder engagement to support global HEOR decision-makers.