At YHEC, we tailor all analyses to meet your specific needs, applying methods that are fit for purpose. We consider factors such as data availability, the nuances of the disease area, and the priorities of the target audience. Whether you require a model to support an HTA submission, guide internal strategic planning, or help a health system audit and understand the real-world costs and benefits of care pathways, we design each model to align precisely with your objectives and stakeholder perspectives. This approach ensures the evidence we generate is both relevant and impactful.

To ensure accessibility and usability, we offer flexible user interface options for our economic models. While Microsoft Excel provides a familiar and widely used platform, we also develop models using R-Shiny or Python. This flexibility allows you to choose the interface that best suits your needs and technical capabilities, promoting effective communication and decision support for both technical HTA committees and non-technical decision-makers in a local health trust.

Healthcare systems vary substantially both across the globe and within countries. Our team possesses extensive experience in adapting economic models to account for these variations. Whether your focus is on a global market, a specific country, or a local healthcare setting, we have the expertise to tailor our analyses to the relevant context. This ensures that your economic evidence is applicable to the specific decision-making environment.

We provide clear and comprehensive documentation for our models, ensuring that all assumptions, data sources, and methods are fully explained. We also offer handover training to empower your team to understand and utilise the model effectively. Our communication is always tailored to the target audience, whether it is a technical HTA committee or a non-technical decision-maker. This commitment to transparency, coupled with our established track record of health economic publications, builds trust and confidence in our findings.

Renowned for gold-standard modelling, we are also actively engaged with cutting-edge health economic methods. Recent projects include:

• Equity-sensitive analyses using distributional cost-effectiveness analysis frameworks to evaluate the fairness, as well as the cost-effectiveness, of innovations.
• Environmental sustainability assessments that quantify carbon and ecological impacts of interventions and explore their integration in health systems.
• Model development in R and Python, offering clients greater transparency, reproducibility and flexibility than traditional Excel-based models while ensuring methodological compliance for decision-making processes.