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Discrete event simulation is a flexible modelling approach that represents individual entities, usually patients, as they experience a sequence of events over continuous time, with the timing of events and the entities' attributes and histories determining what happens next. Unlike cohort models, it can capture individual heterogeneity, time-to-event processes, interactions between entities, and constraints on shared resources such as staff, beds or equipment, which makes it well suited to modelling pathways, capacity and queuing. This realism comes at the cost of greater data requirements, complexity and computation. In health economics and service planning it is used where these features materially affect costs and outcomes and cannot be adequately represented by simpler structures.

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Market Access Analytics and Insight

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Value Proposition Development for MedTech

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Primary Care Market Insights

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Stakeholder Engagement for Health Technologies

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Sustainability and NET Zero for MedTech

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Evidence Generation and Management

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Dashboard Tools for Market Access

Dashboard Tools for Market Access

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MedTech Sales Team Empowerment

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NHS MedTech Business Case Formulation

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