MSR110 The Use of Artificial Intelligence for the Development of Health Economic Models

Health economic models (HEMs) are used to inform decision-making in healthcare, including resource allocation and policy development. However, the construction and validation of these models can be time-consuming and resource-intensive. Artificial intelligence (AI) has the potential to revolutionize the development of health economic models. AI techniques, such as machine learning and natural language processing, can help to streamline the development of HEMs by automating data collection and analysis, by enabling faster and more accurate analysis of complex data sets, by identifying patterns and trends that may not be evident to human analysts, by streamlining the model development process and improving the accuracy and precision of models. This poster will illustrate some uses of AI for the development of HEMs.