Mónica Duarte Oliveira
Instituto Superior Técnico
Mónica Oliveira is 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 coordinates the PhD Engineering and Management programme of IST, the Decision Science and Management Engineering group of CEG-IST and the Clinical Engineering specialization 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 organizations. 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.
2021 4th International Conference of the Portuguese Society for Engineering Education (CISPEE) | 2021
Health Care Management Science | 2021
Omega | 2020
BMC Public Health | 2020
Health Systems | 2020
DECISING – DECISion science and management engineerING
In order to create truly sustainable and resilient health systems it is essential that there is collaboration at the system level between all stakeholders including governments, public and private providers and healthcare payers. The Partnership for Health System Sustainability and Resiliency (PHSSR) is committed to collaborating across sectors and borders to help build more resilient and more sustainable health systems for the future.
IMPACT HTA - Improved methods and Actionable Tools for enhancing Health Technology Assessment
IMPACT HTA is a research project looking at new and improved methods across ten thematic areas aiming at:
understanding variations in costs and health outcomes within and across countries, and
integrating clinical and economic data from different sources to improve methods in economic evaluation in the context of HTA and health system performance measurement
MEDI-VALUE - Developing HTA tools to consensualise MEDICAL DEVICES' VALUE through multicriteria decision analysis
The MEDI-VALUE project aims at advancing Health Technology Assessment (HTA) literature by developing innovative methodologies and tools to assess the multidimensional value of Medical Devices, being ultimately aligned with promoting resilient health systems that balance access to care with innovation and sustainability.
ImproveOR - Decision support tools for better quality in operating rooms management
The ImproveOR project aims at improving efficiency in surgical care delivery and at improving access to surgical care, as a result of an increase of the operating room responsiveness to surgical demand and a better coordination between surgical supply and demand. Decision support tools are developed combining optimization approaches to assist resource capacity planning decisions in the operating room with structured participatory approaches to capture stakeholders’ views and preferences regarding the surgical patient flows and the planning and scheduling of surgeries.
SCOPE-Spatial Data Sciences for COVID-19 Pandemic
Spatial Data Sciences (SDS) can provide significant insights into explaining spatial patterns of infectious diseases, understanding and predicting spatio-temporal transmission dynamics, predicting and monitoring the impact of control interventions, which are driven by geographical factors, designing and evaluating optimal resources allocation strategies and cost-effectiveness analyses that incorporate a spatial component and analysing inequities in healthcare based on geography.