Modelling Cost-Effectiveness in Healthcare at LSE Overview
Modelling Cost-Effectiveness in Healthcare
at LSE
Learn how to design, analyse, and interpret cost-effectiveness models in healthcare
Duration | 8 weeks |
Total fee | ₹2.24 Lakh |
Mode of learning | Online |
Course Level | UG Certificate |
Modelling Cost-Effectiveness in Healthcare at LSE Highlights
Modelling Cost-Effectiveness in Healthcare
at LSE
- Earn a certificate of completion from The London School of Economics and Political Science
Modelling Cost-Effectiveness in Healthcare at LSE Course details
Modelling Cost-Effectiveness in Healthcare
at LSE
Skills you will learn
Who should do this course?
- This course is suited to both health and finance professionals who deal with modelling costs in the healthcare sector
- For Health administrators and medical workers
- For Finance and insurance professionals
What are the course deliverables?
- Gain an in-depth understanding of the foundations of cost-effectiveness analysis
- Discover how models can influence and aid the decision-making process when allocating resources
- Develop the technical skills to source, identify, and analyse high-quality data
More about this course
- The Modelling Cost-Effectiveness in Healthcare online certificate course will equip you with the tools to design, analyse, and interpret cost-effectiveness models in your context
- This technical course will teach you to conceptualise a model, inform resource allocation decisions, and analyse a cost-effectiveness study
- The Department?s world-class faculty bring unparalleled policy experience, and theoretical and methodological approaches to their work
- You?ll explore key modelling techniques and discover how to source quality data to input into a variety of models
Modelling Cost-Effectiveness in Healthcare at LSE Curriculum
Modelling Cost-Effectiveness in Healthcare
at LSE
Module 1
Foundations of cost-effectiveness analysis
Module 2
Introduction to modelling methods
Module 3
Identifying and reviewing data for cost-effectiveness analysis
Module 4
Discretely integrated condition event (DICE) simulation
Module 5
Interpreting model results and making decisions under uncertainty
Module 6
Building conceptual models of real-world processes
Module 7
Discrete event simulation for health technology assessment
Module 8
Future perspectives on cost-effectiveness analysis
Modelling Cost-Effectiveness in Healthcare at LSE Faculty details
Modelling Cost-Effectiveness in Healthcare
at LSE
Professor Alistair McGuire, Professor of Health Economics
Alistair is the chair of health economics at the Department of Health Policy at LSE. Prior to this, he was a professor of economics at City, University of London after being a tutor in economics at the University of Oxford. Alistair has also been a visiting professor at Harvard University, the University of Sydney, the University of York, and the Universitat Pompeu Fabra, Barcelona.
Alex Carter, Senior Lecturer in Practice, Management
In his research, Alex has developed methods for evaluating the clinical and economic impact of information systems in the NHS. This theme is part of the wider research he conducts on the economics of information and technology innovation. Alex is the course director (interim) for the executive MSc in Health Economics, Policy and Management, and has extensive experience teaching health systems, financing healthcare, and economic evaluation.
Dr Ranjeeta Thomas, Assistant Professor of Health Economics
Ranjeeta is the programme director of the MSc in International Health Policy. She is also an honorary lecturer in the Department of Infectious Disease Epidemiology, School of Public Health at Imperial College London. Prior to her work at LSE, Ranjeeta was a research fellow in the School of Public Health at Imperial College London and at the Health Economics Research Centre, University of Oxford. She has a PhD in economics from the University of York.
Jaime Caro, Professor in Practice
Jaime is an adjunct professor of medicine and epidemiology biostatistics at McGill University, and the chief scientist at Evidera. His work focuses on the development of a unified approach to modelling that will enable rapid, standardised, and less error-prone development of forecasting models.
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