Profile

Professor
Ilias Goranitis

Ilias Goranitis.

Professor Ilias Goranitis is the inaugural Head of the Economics of Genomics and Precision Medicine Unit and Deputy Head of Melbourne Health Economics within the Centre for Health Policy at the University of Melbourne. He led the health economics program of Australian Genomics (2018 to 2025).

His main applied and methodological work focuses on exploring the value and cost-effectiveness of genomic technologies using health economic and discrete choice modelling.

Prof Goranitis has been a successful co-applicant in research grants nationally (MRFF, NHMRC and the Department of Health) and internationally (UK NIHR, the UK Department of Health, and the Gates Foundation) worth more than $123 million across 40+ funded grants. His work has informed national health policy and international guidelines, and has been published in top-tier clinical and health economics journals.

Prof Goranitis was awarded the 2024 Deeble-Scotton Prize for Policy Impact from the Australian Health Economics Society and a Dame Kate Campbell Dean’s Fellowship from the Faculty of Medicine, Dentistry and Health Sciences at the University of Melbourne, which recognises and rewards outstanding research performance and demonstration of Faculty values. He was listed in the world’s top 2% scientists list published by the Stanford University and Elsevier.

With his team, Prof Goranitis led the health economics evidence review to inform Cancer Australia’s National Framework for Genomics in Cancer Control and WHO’s investment case in human genomics. He has been invited to present his work at the World Health Organization Expert Meeting on ‘Accelerating access to human genomics for public health’ (2024), the Global Alliance for Genomics and Health National Initiatives Forum (2024) and 14th Plenary meeting (2026), the European Society of Human Genetics conference (2023 and 2026), the Human Genetics Society of Australasia meeting (2023), and the World Economic Forum Expert Meeting on ‘The economics of global data access for solving rare diseases’ (2020).

He is a Founding and Lead Convener of the Economics of Genomics & Precision Medicine (Econ-Omics) special interest group within the international Health Economics Association and a member of the Global Economics and Evaluation of Clinical Genomics Sequencing Working Group. Prof Goranitis has led guest editorials on topics related to health economics and genomics for the Applied Health Economics and Health Policy journal and the Journal of Community Genetics.

Prof Goranitis has significant experience in teaching and leading the delivery of health economics related subjects to undergraduate economics and postgraduate health economics and public health students. He holds honorary appointments with the Murdoch Children’s Research Institute, and he is an alumnus of the London School of Economics and University of Athens.

The work

01

The value of genomic and precision medicine

How should we determine what a genomic technology is worth?

A genomic test can end a seven-year diagnostic odyssey without extending life or improving physical function. Yet the diagnosis may resolve years of uncertainty, avoid further investigations, inform reproductive decisions and change how families plan for the future. Conventional health economic evaluations do not always capture these benefits, leaving important dimensions of value unrecognised.

This strand makes that value measurable. Through micro-costing studies, we establish the true costs of genomic testing and diagnostic pathways, from proband-only and trio sequencing to rapid and functional approaches. We develop methods to capture diagnostic, personal and reproductive value, and bring these costs and benefits together in full economic evaluations that can inform public funding decisions.

  • Economic evaluation
  • Micro-costing
  • Rare disease
  • Newborn screening
  • Cost-benefit analysis
02

Decision science and preference elicitation

How do we understand what people actually value?

Decisions about healthcare technologies depend not only on clinical outcomes and costs, but also on what patients, families and the public value. Asking people what matters is a starting point. Understanding how much it matters requires examining the trade-offs they are willing to make between competing benefits, risks and costs.

Across this programme, more than 5,500 members of the public, patients and carers have participated in discrete choice experiments, contingent valuation and person trade-off studies. These studies have examined preferences for rapid genomic testing in critically ill children, genomic newborn screening, and which additional genetic findings should be returned, and when. Alongside this applied research, we advance the methods themselves, including the DIRECT checklist for reporting discrete choice experiments, now a submission requirement at five journals in the field.

  • Discrete choice experiments
  • Willingness to pay
  • Person trade-off
  • DIRECT checklist
  • Quality of life measurement
03

Evidence into real-world decisions

What does it take for evidence to shape what health systems fund?

Producing rigorous economic evidence is one thing. Getting that evidence used in funding and policy decisions is another. It requires understanding what decision-makers need, how evidence must be presented, and how uncertainty can be characterised so that a committee can act on it.

This strand bridges that gap. Our work has contributed economic evidence to successful submissions to Australia’s Medical Services Advisory Committee, supported a pricing case accepted by the Independent Hospital Pricing Authority, and delivered an evidence review commissioned by the World Health Organization. It continues through direct engagement with health departments and agencies in Australia and internationally.

  • Health technology assessment
  • Reimbursement
  • Implementation science
  • Policy translation
  • Global health
04

AI and the future of evidence generation

What can we automate in generating evidence, and where must human judgement remain?

Health technologies are advancing faster than the processes used to evaluate them. Evidence synthesis, economic modelling and implementation planning remain time-consuming, resource-intensive and often manual. AI and computational methods offer ways to close that gap, but speed alone is not enough when the resulting evidence informs decisions about public resources.

This is the newest and most exploratory strand. It examines how simulation and system dynamics can inform implementation strategies, how automation can accelerate evidence synthesis and economic modelling, and how these approaches should be validated and governed. Underpinning this work is a fundamental question: where can computation improve the evidence we generate, and where must human judgement and accountability remain central to decisions a health system must be able to defend?

  • Simulation modelling
  • System dynamics
  • Evidence pipelines
  • Decision governance

Publications

  1. 2026Expert Rev Pharmacoecon Outcomes Res

    The value of functional genomics: a contingent valuation ↗

  2. 2020World Economic Forum

    Global data access for solving rare disease: a health economics value framework. Geneva:

Peer-reviewed journal articles only. Book chapters, commissioned reports and conference presentations sit on the University profile and ORCID.

Next

The work is only half of it. The other half is what changed.

Tests funded, guidelines rewritten, methods adopted, people trained.