Designs for a Better Patient Journey

In order to design a better patient journey, it is important to look at this complex issue from multiple angles. We are a multidisciplinary team of researchers committed to improving patient journeys in hospitals. Our research is in the areas of healthcare redesign, medicine, nursing, mathematics and information and communication technology (ICT). Poor patient flow directly contributes to overcrowding, bed access-block, and increased length of stay, all of which pose substantial risks to patient safety. We work on predictive mathematical models, optimisation algorithms, computational tools, and design ideas, with the aim to improve patient flow from a patient-centred perspective.

Our research themes

Service Redesign

  • Explore the underlying issues within health services related to patient journey.
  • Undertake research activities related to defining major issues, diagnostics and developing solutions.
  • Implementation of identified solutions to systems and process issues – complementing IT driven solutions.

Prediction & Scheduling

  • Predicting future arrivals of patients and their length of stay.
  • Predicting a suitable number of beds and staffing.
  • Patient assignment scheduling and decision making in the management of patient flow.

Prospective students are encouraged to send their expression of interest to team members from relevant disciplines at patient.flow@utas.edu.au.


Our Team

Richard Turner
(Medicine)

Małgorzata O'Reilly  
(Mathematics)

Pieter Van Dam
(Nursing)

James Montgomery
(ICT)

Mitchell Dwyer
(Healthcare Redesign)

Steven Xu
(ICT)

Belinda Beavan
(Nursing)

Sarah Prior
(Healthcare Redesign)

Son Tran
(ICT)

Christian Mich
(Medicine, final year student)

Viet Tran
(Emergency Medicine)

Aregawi Abera
(Mathematics, PhD student)

Bateer Caici
(ICT, Master's student)

Muhammad Abdullah Khokhar
(Mathematics, PhD Student)

Anna Aksamit
(Mathematics)

Zbigniew Palmowski
(Mathematics)