Mónica Duarte Oliveira

Professor Catedrático

Instituto Superior Técnico

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ORCID CIÊNCIA VITAE ResearcherID Scopus GScholar

Mónica Oliveira is a Full Professor in Decision Sciences at the Engineering and Management Department of Instituto Superior Técnico (University of Lisbon) and a researcher at the Centre for Management Studies of Instituto Superior Técnico (CEG-IST) and a research collaborator of the Institute of Biomedical Science of IST. She is the coordinator of the redeSAÚDE of the University of Lisbon, as well as for the PhD Engineering and Management programme of IST, the Decision Science and Management Engineering group of CEG-IST and the Clinical Engineering specialisation of the MSc Biomedical Engineering at IST. Her research interests include the development of management science models to assist policy and decision makers in health and clinical settings, with a special interest in multi-criteria value modelling using participatory processes. She has enhanced and applied management science techniques in multiple public and private organisations. She has published her research in Operations Research, Management Science, and Health Economics, Policy and Management international journals. She has been active in participating in international health projects, has been involved in advisory boards from the Portuguese Ministry of Health, and is an active member of the Portuguese Association of Health Economics and of the EURO Working Group on Operational Research Applied to Health Services. She has a Licenciatura in Economics from the University of Porto and a MSc and a PhD in Operational Research by the London School of Economics and Political Science.


Keywords: Decision Sciences | Health Care Management Science | Health Technology Assessment

Publicações

Efficiency in the cath lab: Pursuing value-based improvements following a sociotechnical approach

Revista Portuguesa de Cardiologia | 2022

Informing the Design of Data Visualization Tools to Monitor the COVID-19 Pandemic in Portugal: A Web-Delphi Participatory Approach

International Journal of Environmental Research and Public Health | 2022

Ekaterina Ignatenko

Manuel Ribeiro

ANIPHI: An innovative pedagogical platform based on the Delphi method to support animal welfare teaching

PLOS ONE | 2022

M. Vidal

J.-B. Menassol

T.L. Mateus

A.S. Santos

J.-P. Durieux

Advancing knowledge and MCDA tools to assist HTA agencies in evaluating medicines on a common basis

Panos Kanavos

Carlos Costa

Aris Angelis

Developing behavioural research in Web-Delphi processes: results from a real-world Delphi experiment in Health Technology Assessment

17ª Conferência Nacional de Economia da Saúde | 2021

Ana Vieira

Carlos Costa

Grupos de Investigação

DECISING – DECISion science and management engineerING

Contactos

CEGIST - Centro de Estudos de Gestão
do Instituto Superior Técnico

Av. Rovisco Pais, 1049 - 001 Lisboa
Tel: +351 21 841 77 29 (ext. 1729)
Fax: +351 21 841 79 79
E-mail: cegist@tecnico.ulisboa.pt

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