Joanne Enticott

Assoc Professor

Accepting PhD Students

PhD projects

Numerous data driven projects available in health services research and vulnerable populations.

20032025

Research activity per year

Personal profile

Biography

Associate Professor Joanne Enticott is a nationally and internationally recognised health and medical translational biostatistician, leading research in big data analytics and Learning Health Systems. She heads the Big Data and Learning Health Systems research stream at the Monash Centre for Health Research and Implementation (MCHRI), a partnership with Monash Health—Australia’s largest maternity network—providing a unique implementation laboratory with over 120 active clinician-researchers. Her work is deeply embedded in women’s health and mental wellbeing, with a strong translational focus on equitable, data-driven healthcare.

A/Prof Enticott’s research supports diverse clinical disciplines and directly informs policy and service delivery. She co-developed the Monash Learning Health System framework, now adopted in over $16M of local, state, and federal initiatives, and recognised internationally. Her leadership in the landmark international RCT trial on early gestational diabetes treatment (TOBOGM), published in the New England Journal of Medicine (2023), exemplifies her impact on women’s health. She regularly publishes in The Conversation and other public forums to translate complex data into accessible insights on women’s wellbeing.

Ranked in the top 0.5% of scholars globally (2024 ScholarGPS), she has authored over 160 publications (56% as co-lead or senior author), with an H-index of 34 and >4,500 citations. She has secured over $39M in research funding, including $25M in the past five years as lead statistician across 12 major grants (8 MRFF, 4 NHMRC). She is building future capacity through supervision of 9 PhD students (5 primary), 8 completions, and leadership of the Digital Data-Driven Healthcare Graduate Research Industry Partnership, mentoring 11 cross-disciplinary PhD candidates.

A/Prof Enticott’s work exemplifies the integration of AI, machine learning, and classical statistics to advance gender-responsive, sustainable health systems that improve outcomes for women.

At MCHRI, she is part of the Executive Team with oversight of strategic direction for the Centre, which has >$50million in current NHRMC and MRFF grants.

 

Research interests

My program of research to produce policy informing information from existing big data assets such as routine health data sets is informing policy.​ ​I have established a research program focused on big data analytics and the learning health system, working closely with clinical researchers, service providers and policy makers. My program supports heterogeneous clinical disciplines and I also have a strong research interest in maternal health and mental health.

The past decade has seen enormous advances in the amount of data routinely generated however the ability of clinicians, researchers, policy makers and the community to harness this data to improve healthcare and outcomes at the individual, organisation and population level has been hindered by a lack of system-wide capacity, knowledge and approaches. I lead the development of the evidence-based LHS, led by Monash Partners/ University, that engaged stakeholders, was informed by evidence synthesis and qualitative research and is now being implemented by governments and health services (MRFF $19M up to 2030) for: LHS implementation to deliver enhanced healthcare at home for older people in Australia, and; on major data infrastructure, advancing IT innovations and applying the LHS in maternity care across priority areas, settings and populations. 

I have contributed to large scale programs and brings expertise in pragmatic trial design, biostatistics risk prediction and LHS. I have research utilising healthcare data informed by implementation research funded by the MRFF that is instrumental in: e.g. translating risk prediction tools to improve women’s health – HiPPPP Personalised Medicine meets Public Health in the first 2000 days ($2.5M, 2020-2025); optimising the delivery of antenatal digital interventions in public healthcare, improving equity, access and engagement for better maternal and neonatal health outcomes ($1.5M, 2021-2026).

Consulting

Since 2020, she has led the MCHRI Biostatistical Consultancy Service, which is a not-for-profit service providing research and statistics support to Monash Health clinicans, staff/students. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 1 - No Poverty
  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 5 - Gender Equality
  • SDG 10 - Reduced Inequalities
  • SDG 13 - Climate Action
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

Doctor of Philosophy, University of Melbourne

20062012

Award Date: 15 Mar 2012

Masters of Science (Research), University of Melbourne

20022004

Graduate Diploma in Clinical Audiology, University of Melbourne

19941995

Bachelor of Science (Mathematics), University of Melbourne

19891994

External positions

Senior Research Fellow, CRE Suicide Prevention, Brain and Mind Centre, University of Sydney

1 Jul 201731 Dec 2017

Senior Research Fellow, Royal District Nursing Service (Victoria)

13 Nov 20151 Jul 2017

Research area keywords

  • Clinical Biostatistics
  • Epidemiology
  • Health services research
  • Mental health
  • Vulnerable groups

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or