Anett Molnar is a doctoral researcher whose dissertation focuses on health economic evaluations of artificial intelligence-based diagnostic and prognostic techniques in cancer care.
She earned her MSc in Health Policy Planning and Financing with a specialization in Health Economics at Eötvös Loránd University in Budapest, Hungary. For her master’s thesis, she developed a cost-effectiveness model of low-dose computed tomography screening for lung cancer in Hungary. During her studies, she also worked as an assistant lecturer in the Faculty of Social Sciences at Eötvös Loránd University. She joined the Syreon Research Institute in 2016 and worked in the Health Economic Modelling Department until 2019.
Selected publications:
B. Németh, A. Molnár, S. Bozóki, K. Wijaya, A. Inotai, J. Campbell, Z. Kaló:
Comparison of weighting methods used in multicriteria decision analysis frameworks in healthcare with focus on low- and middle-income countries.
Journal of comparative effectiveness research, 2019: 8(4), 195–204.
DOI: 10.2217/cer-2018-0102
B. Németh, A. Molnár,, R. Akehurst, M. Horváth, K. Kóczián, G. Neméth, A. Götze, Z. Vokó:
Quality-adjusted life year difference in patients with predominant negative symptoms of schizophrenia treated with cariprazine and risperidone.
Journal of Comparative Effectiveness Research, 2017: 6(8), 639-648.
DOI: 10.2217/cer-2017-0024
Z. Vokó, M. Barra, A. Molnár, A. Kerpel-Fronius, G. Bajzik, I. Horváth, M. Moizs, B. Nagy:
Model concept of the health economic evaluation of low-dose CT lung cancer screening in Hungary. [in Hungarian]
Orvosi Hetilap, 2017: 158(25), 963–975.
DOI: 10.1556/650.2017.30731