Modelling and simulation is the process of creating and analysing a digital prototype of a physical or biological model to predict its performance in the real world. In clinical practice, simulation and modelling is used to understand and predict outcomes that may be unethical, inefficient, or impractical to undertake by experimentation.
By the end of this module the Clinical Scientist in HSST will be able to analyse, synthesise and apply their knowledge and understanding of current advanced modelling and simulation techniques used in clinical practice. They will be able to identify the need for new approaches by critically reviewing the evidence base. They will be expected to lead the development, implementation and review of new software and algorithms that underpin modelling and simulation. Fundamental to this module is the ability to work within established clinical guidelines and with full ethical considerations, especially with regard to the validation of the model/simulation.
The Clinical Scientist in HSST will also be expected to consistently demonstrate the attitudes and behaviours necessary for the role of a CCS.
By the end of this module the Clinical Scientist in HSST will be able to analyse, synthesise, evaluate and critically apply their expert knowledge of the purpose, principles, application and limitations of modelling and simulation in clinical practice. They should have a level of basic familiarity with a range of modelling techniques, for example:
The Clinical Scientist in HSST would be expected to have covered a minimum of six of the above or equivalent modelling techniques to a level that would allow them to judge whether the technique would be appropriate for solving a particular problem.
Many issues are common to all modelling techniques and by in-depth study and use of one technique, the Clinical Scientist in HSST should develop a critical understanding of:
By the end of this module the Clinical Scientist in HSST will be able to demonstrate a critical understanding of advanced modelling and simulation techniques in their area of clinical practice. They will apply their knowledge in their area of clinical practice, performing and mastering a range of technical and clinical skills while considering the impact on confidentiality of patient data, and will be able to:
Definitions: A model is a program that has been developed to copy the way a system works in real life. It uses mathematical formulas and calculations to predict what is likely to happen based on data recorded about what actually did happen in the past. Computer simulations use computer models to also predict how a system will behave given a set of conditions. Again, they are created through mathematical formulas. The difference between a model and a simulation is that a simulation often uses something physical to mimic the system (e.g. haptic feedback or virtual reality).