OBJECTIVES: To identify the possible problems and trends regarding health economic modelling in Hungarian Health Technology Assessment. We were especially interested in the general quality of health economic models. METHODS: We analyzed the submissions which were based on a health economic model, which were assessed by the Hungarian HTA Office since 2004. We created a database in which we summed up our findings: the type of the model, the quality and robustness of the model, the type of disease which was modelled. We sorted the models by these criteria and searched for correlations. We attempted to set some indicators regarding the quality of models. We also analysed some methodological and procedural problems from multiple aspects related to modelling in Hungary. RESULTS: Our findings show that the use of health economic models is increasing and that most of the models are decision tree and Markov types. The submitted Markov models are from the subtype of Markov chain models with only a few exceptions. Primarily simulation models are only used in a small share of submissions (11%), especially in the cases of chronic diseases. Trends show that the proportion of Markov models which have probabilistic sensitivity analyses are also increasing (from 0% to nearly 30%). The submitted models became more detailed and they show a distinct improvement in methodology during the past 8 years. These factors indicate the general improvement of the quality of Hungarian health economic modelling. CONCLUSIONS: Although it is not compulsory in Hungary, more and more manufacturers present or submit health economic models to the Department of Health Technology Assessment. Based on our findings, several factors indicate that the submitted models are getting more detailed, and better of quality.