Crystallise offers a flexible, evidence-based, and clinically informed modelling approach for even the most complex diseases and health outcomes.
Health Economic Modelling
Crystallise offers a flexible, evidence-based, and clinically informed modelling approach for even the most complex diseases and health outcomes.
Case Studies
Crystallise partnered with a national healthcare provider to assess population-based interventions for diabetes, focusing on key outcomes such as disease, complications, and lifestyle biometrics (e.g., cholesterol). We built a stochastic model of diabetes to estimate intervention effects, associated costs, and outcomes, to identify risks and potential returns on investment, supporting the healthcare provider in optimising patient care and resource allocation.
Our synthetic sample generation approach ensures accurate representation of real-world populations for modelling clinical outcomes/intervention effectiveness.
Our multi-disciplinary team of statisticians and modellers offer a systematic and unbiased approach to NMA.