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Dr Lavinia Tran is a Research Fellow with the Centre of Cardiovascular Research and Education in Therapeutics (CCRET) and Program Manager (Research and Projects) of the Australia and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) Bi-national Cardiac Surgery Registry. Dr Tran’s research is focused on utilising Clinical Quality Registries (CQR) to drive change to improve patient outcomes. She has published 35 peer reviewed articles over the past 8 years and has a strong knowledge of CQR in all aspects including development of protocol and data definitions, implementation, outcomes research, and data feedback and engagement.

Dr Tran was awarded a Heart Foundation grant to pilot a structured feedback method in the ANZSCTS registry. This research was published and the data directly assisted with the design and future reporting methods of the registry to hospitals and government bodies. Dr Tran has also been involved in many data linkage projects and has experience in registry embedded trials as well as risk model developement. 

More info:

In 2020-21 Dr Tran was awarded a Monash Partners Fellowship to explore visual representation models to improve access and utilisation of health data in the form of clinical data dashboards. Dr Tran's work was published in a report to guide the development of data dashboards in healthcare and registries using evidence-based metholodies. 

More info:

Lawler, Lauren; Tran, Lavinia (2021): Visual representation models to improve access and utilisation of health data: clinical dashboards
across Monash Partners. Monash University. Report.


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 3 - Good Health and Well-being

Research area keywords

  • Registries
  • Registry Sciences
  • Cardiac surgery
  • Risk Models
  • Feedback
  • Quality Assurance
  • Monitoring
  • Benchmarking
  • Data Visualisation
  • Databases
  • Data analysis
  • Outcomes Research
  • Patient outcomes
  • Patient reported outcome measures


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