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Modelling Cost-Effectiveness in Healthcare 
offered by LSE

Modelling Cost-Effectiveness in Healthcare
 at 
LSE 
Overview

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

  • Earn a certificate of completion from The London School of Economics and Political Science
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Modelling Cost-Effectiveness in Healthcare
 at 
LSE 
Course details

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

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

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Modelling Cost-Effectiveness in Healthcare
 at 
LSE 
Faculty details

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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Modelling Cost-Effectiveness in Healthcare
 at 
LSE 
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