Healthcare Simulation

Healthcare services are being redesigned and improved in terms of reducing waste, enhancing the patient experience and contributing to population health. Models linked with data about individual patients and particular services are being used to improve clinical decisions by health professionals, engaging patients and their carers in self-management, and tailoring treatment approaches to individuals based on their genetics, body system physiology, psychology and social networks.

Modeling and simulation are also used at the policy and program level to evaluate the cost effectiveness of mixtures of interventions, not only in testing and treatment, but also in health promotion and risk prevention. An important aspect is to understand the different results of programs in different contexts, especially in terms of social determinants of health and changes in health disparities and inequities.

The challenges of organizing health and social systems to improve wellbeing, healthcare value and accessibility require multiple ways of abstracting problem situations at the aggregate and individual level, including process and agent interaction events, and understanding feedbacks and network structures. AnyLogic can combine theory and data in simulation models which can test interventions in different virtual experiment scenarios to assess their suitability for a particular country, region, organization, service or target group.

The tasks that you can accomplish with AnyLogic in the healthcare and pharmaceutical industries include:

  • hospital and ward layout and planning
  • medical process/equipment usage planning and optimization
  • healthcare policy strategic planning
  • epidemic disease spread and mitigation policy testing
  • supply chain/production/marketing planning in the pharmaceutical industry

Healthcare simulation case studies

Example healthcare simulation models

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