Objectives
To provide a strong infrastructure for good modeling practice considering:
1. Clinical realism: A model should reflect the state of evidence, the current understanding of the disease, and be accepted by clinical experts.
2. Quantifying decision uncertainty: A model should be capable of quantifying decision uncertainty and informing prioritization of future research.
3. Transparency and reproducibility: Resources should exist so that a model can be completely understood, reproduced, and pressure tested.
4. Reusability and adaptability: It should be possible to easily update a model to reflect new clinical evidence or adapt it for a new market, indication, or intervention.
Reference: https://doi.org/10.1016/j.jval.2019.01.003
To support our clients for a more efficient introduction of new products to their target groups such as policymakers, clinicians, and patient organizations.
To provide a quick updating process for the economic model when a new set of input data are available.
To enhance model adaptation for multiple countries all in one platform.
Architecture
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Different Packages for the Online Model
