Real World Modeling
Visualising and mapping data for the Real World.
Animated models that simulate real life healthcare scenarios
Do you need
To model different scenarios to highlight your value?
To animate those scenarios in a way that highlights the best course of action?
Health iQ Simulation is the perfect solution if you need real life healthcare scenarios, visualised and simulated.
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Health iQ Simulation, brings real world data to life
What is Health iQ Simulation?Health iQ's unique Simulation offers you custom-made, animated models that simulate real-life scenarios in healthcare and is designed for deep engagement over pathways.
Visually model any scenario from departments to pathways to entire health economies.
Transform any kind of data model from budget impact models to cost calculators to resource allocators.
Feed the model with your own validated real world data then simulate how the static data interacts with the model over time and even make changes 'on the fly'.
Prove a compelling case for change and prototype potential solutions so payers and decision makers can be convinced of the need to act.
Imagine the ease of building a compelling case for change or proving the scale of a problem if you could bring your data to life through simulation.
Collective input into a simulation model can help to secure stakeholder buy-in, unify project teams and make proposals more tangible, practical and realistic.
Simulation helps you to learn from your data by demonstrating how things will play out across an entire system, so you can refine and perfect your proposed solution.
Implementing real-life change is often costly and difficult. Prepare for eventualities during implementation, such as resource gaps and bottle necks, using a life-like simulation.
A Global Value Dossier (GVD) presents a summary of your product value, supported by the most robust and compelling evidence. Traditionally these are primarily based on Systematic Literature Review (SLR), or gathering existing published evidence in the form of previous research and clinical trials. The problem with this approach is that it often doesn’t reflect real-world practice and is out of date in terms of reflecting current treatment pathways.
Unlike many providers of GVDs, Health iQ are specialists in RWE-based research and are able to access longitudinal patient data from across the world.
We house licensed datasets such as HES and CPRD, which provide national coverage of both the primary care and secondary care pathways. We can map out treatment pathways from actual patient data and build cost-effectiveness analysis which incorporates the full cost burden of a condition, including all the co-morbidities and side effects. This allows us to provide RWE-powered dossiers which are more precise, focused and impactful than those relying only on summarising existing research through systematic literature review (SLR).
We access data based on what is most appropriate to support your products value story. We then conduct new research focused around the key value messages you want to convey, so that the evidence we produce and incorporate into your dossier is built entirely around the need of your product. This creates a far more compelling output than one based on SLR only, which are often general, miss specific data points which do not already exist in the public domain and are not necessarily based on current practice.
As well as delivering quality RWE-supported GVD’s, we can also translate the main template into customised local dossiers to suit specific geographies and used to support local engagement with payers, or to inform HTA or formulary submissions.
These will also be supported with data from the local region, again making the dossier relevant, current and focused.
RWE typically included in a Value Dossier (either at Global or Local level):
• Disease epidemiology.
• Burden of illness.
• Treatment pathways.
• Burden of unmet need.
• Summary of supporting clinical research (RCT, PASS etc.)
• Humanistic QOL data.
• Economic studies (Cost-effectiveness analysis, budget impact modelling).