Decision Analytic Modelling and Early Health Technology Assessment

If you are a developer of medical technologies or you work in the assessment of technologies during their development this course is ideal for you!

You will leave the course with the ability to develop a decision model in Excel using decision trees and Markov models. You will also understand the concept of early health technology assessment (early HTA). Through practical examples, experienced practitioners will introduce you to the tools of HTA and how they are used to advise developers of health technologies in matters such as design, placement, pricing and evidence requirements. You will learn the critical importance of seeking the views of clinicians, patients and other stakeholders in early assessment and how to approach a decision model when you have little direct evidence about the performance of the technology.

Early HTA is increasingly used to inform policy makers as well as developers about the potential of a technology in development. In an era where it is more important than ever to make sure valuable research and development resources are directed appropriately, this course will equip you to advise developers and other decision makers about whether and how to proceed with their development. This course is presented by academics from the University of Glasgow and Radboud University Medical Centre, the Netherlands.

If you would like to find out more about our MSc in Health Technology Assessment of which this module is a part, please see our course page:

Key facts

  • Course dates: 19th September - 2nd December 2022
  • Online Distance Learning (ODL)
  • Non-accredited, but with a certificate of attendance
  • For more info contact:


Course Aims

This course is led by Dr Janet Bouttell in collaboration with Dr Janneke Grutters and Dr Marcia Tummers from Radboud University. It will introduce students to core material in the area of early health technology assessment (HTA). This will include the rationale for conducting early HTA, its features and a range of commonly used methods. The course also teaches practical skills involved in developing a decision analytic model.


Intended Learning Outcomes of Course

By the end of this course students will be able to:

1. Critically compare how early HTA differs from HTA undertaken later in a technology lifecycle

2. Design and build decision trees and markov models including probabilistic sensitivity analysis and value of information analysis

3. Critically appraise methods of stakeholder engagement in terms of their appropriateness to the resources available

4. Critically evaluate the quality of early economic evaluations

Why this programme?

  • Our faculty are world-class experts in their fields, who are active not only in research and teaching, but also involved in HTA decision-making at a national level (e.g. through NICE, SHTAG).
  • Our teaching is research-led. The courses have been developed to reflect the latest academic research and up-to-date challenges in HTA decision-making.
  • During the course, from week to week you will interact with your teachers and fellow participants. Your teachers will direct and observe the discussion, and respond to participant questions about the course content.


Online distance learning at the University of Glasgow allows you to benefit from the outstanding educational experience that we are renowned for, without having to relocate to our campus.

You do not need to have experience of studying online as you will be guided through how to access and use all of our online resources.

Virtual learning

You will connect with your fellow participants and tutors through our virtual learning environment where you will have access to a multitude of learning resources including:

  • recorded lectures
  • videos
  • interactive quizzes

Great emphasis is placed on making sure you feel well supported in your learning and that you have good interactions with everyone on the programme.  Support is available in a number of ways and you will find out more about this during orientation.

All you need to participate in our online programmes is a computer and internet access. 

Programme structure

Ten-week online course comprising 10 lectures and accompanying practical exercises. The lectures will be 45min/1hr in duration and exercises associated with lectures will take a notional 2 hours for the participants to complete. Each week the academic lead will be responsible for monitoring and contributing to the discussion board. The exercise solutions will be posted on moodle the following week. 

You can view full details of this course in the Decision Modelling and Early HTA Timetable

Registration and Fees

Fees are:

£660 for low and middle income countries (LMICs)

£704 for public/academic sector delegates 

£1,100 for commercial/private sector

For enquiries and to sign up for this course, please email

Entry Requirements and Assessment

As this course is not accredited, there are no course-specific entry requirements and there is no assessment.

Contact us

If you have any questions, or if you would like any more information, please don’t hesitate to contact us at

If you would like to find out more information about our unit, please see here:

If you would like to see more about our MSc in Health Technology Assessment that this module is a part of, please see our course page: