Computer simulation models:
Computer Modelling and Simulation refers to the process of constructing and manipulating computer-based mathematical, graphical or algorithmic representations of real-life systems or phenomena, for the purpose of conducting computer-based simulations to study, predict or optimise the behaviour of the system(s) / phenomena under consideration. The complexities of modern biomedicine are rapidly increasing. Thus, modelling and simulation have become increasingly important as a strategy to understand and predict the trajectory of pathophysiology, disease genesis, and disease spread in support of clinical and policy decisions.
Aims:
- Estimate model parameters and model boundary conditions through both quantitative and qualitative approaches
- Develop mathematical models and computer simulation to study patient journeys across entire care pathways, from management of health in the home to acute care and specialist services
- Conduct rigorous testing and validation studies of the resulting models and simulations to demonstrate their usability and fitness for purpose
- Maximising impact through translation from research prototypes to market-ready/user-ready products
- Develop innovative modelling techniques and simulation algorithms with the ultimate aim of supporting patient-specific mission rehearsal, training and procedure navigation
Computer simulations models research aims to investigate and implement those aims.
Open source research focus on those applications:
Computer simulation models have many important applications:
- Test the effects of interventions by using blood investigations, patients reported outcome measures and daily monitoring charts combined.
- Test the drugs in the randomised trials.
- Assessing surgical outcome.
- Assessing the effect of recovery and enabling planning of early discharge.
- Detect patterns of disease deterioration.
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