When you need a future-facing decision engine for real world population health and pharmaceutical product lifecycle questions, we are the people to turn to.
Using the power and trusted methodology of our microsimulation platform we provide critical support in market planning, scenario analysis and healthcare policy solutions.
Our “intervention modelling” estimates the health and economic impacts of a range of interventions, including public health policies and new drugs for entire populations, or specific subgroups.
By comparing different scenarios, decision makers can make informed choices before real world implementation.
We work with:
We combine our unique population model with data, literature and policy analysis to help organisations in the private and public sector to:
We’ve created a specific process to help you find, ask and answer the right questions.
It’s based on a methodology and software platform our team spent over a decade developing as part of the UK Health Forum, before being acquired by HealthLumen in 2019.
We’ll help you define the population you need to look at and think through the scenarios or interventions you would like to explore. You’ll be confident you’re asking the right questions and are clear on what you need our answers to achieve.
We’ll create a starter scenario showing you how your chosen population would develop if left untouched. Then you can explore the outcomes of different kinds of change or intervention, comparing them with the starter scenario to map out their real-world impact.
We’ll interpret the data for you, giving you plain language answers to your original questions. That will help you translate those answers into messages, briefs and guidance to support future actions.
By taking account of dynamic changes in behavioural and environmental risk factors over time, plus changing demographics, such as ageing, we can accurately map out the future to assist your decision-making process.
HealthLumen’s modelling helps organisations to understand the future burden of non-communicable diseases, and quantify the long-term impact of proposed interventions, thereby assisting decision-making before real-world implementation. This interactive visualisation is a representative example from our secure online decision-support platform.
Successive additions of annual cases of a disease. For example, the cumulative incidence between 2020 and 2024 would be the sum of all new disease cases in each of those years.
Read more about this project on our blog: How leaving the car at home might improve health