Up to New Limits: The Number of Petaflops Necessary for Realistic Health Economic Models
Author(s)
Poirrier JE1, Maervoet J2, Bergemann R3
1Parexel, HEOR Modeling, Wavre, WBR, Belgium, 2Parexel, HEOR Modeling, Schoten, VAN, Belgium, 3Parexel International, Loerrach, Germany
Presentation Documents
OBJECTIVES:
Health economic models (HEM) are used to assess the cost-effectiveness of healthcare interventions and inform decision-making by policymakers and payers. However, the complexity of these models is increasing, as they are increasingly analyzing more diverse and detailed datasets. This has led to a need for more powerful computational resources, including high-performance computing (HPC) systems. HPC systems allows to develop and to run HEMs in acceptable time frames and we describe the current status of such systems.METHODS:
One challenge in determining the computer performance (expressed in petaflops) necessary for realistic HEMS is the wide range of model types and complexity. Some models may be relatively simple and require only a few petaflops, while others may be highly complex and require many more petaflops. Additionally, the amount of data required for a model can also impact the number of petaflops necessary. Another challenge is the rapidly changing landscape of computational power. The number of petaflops available to researchers is increasing rapidly, and new technologies such as quantum computing may further increase the performance available in the future. This makes it difficult to predict the computing performance necessary for realistic HEMs in the future. Despite these challenges, there are several strategies that can assess the computational power required for a particular model. One approach is to use existing models with similar complexity as a benchmark and adjust the computing performance accordingly. Another approach is to use trial and error, gradually increasing the number of petaflops until the model can run within an acceptable time frame.RESULTS: and CONCLUSIONS
: Determining the number of petaflops necessary for realistic HEMs is a complex and evolving challenge. Further research is needed to understand the relationship between model complexity and the number of petaflops required, and to develop strategies for assessing the computational power needed for a particular model.Conference/Value in Health Info
2023-05, ISPOR 2023, Boston, MA, USA
Value in Health, Volume 26, Issue 6, S2 (June 2023)
Code
RWD74
Topic
Medical Technologies, Methodological & Statistical Research, Study Approaches
Topic Subcategory
Decision Modeling & Simulation
Disease
No Additional Disease & Conditions/Specialized Treatment Areas