$1.46M Secured to Cut Wait Times

Eastern Health

The project, WaitLESS, will trial the Specific Timely Assessment Triage (STAT) model across eight outpatient medical clinics in the Eastern Health network.

The aim is to establish a process for reducing wait lists that can be replicated elsewhere.

The STAT model applies short and long term approaches to reduce specialist waitlists and strive to achieve a better balance between supply and demand.

As well as being a part of the Eastern Health Institute, Prof Harding, is also a part of La Trobe's School of Allied Health, Human Services and Sport.

"It's really exciting to take this work and apply it to a new field where it can have significant implications for many people.

"This will have a positive impact on people's lives. It is an opportunity to take the information and insights people have given us from their experience with the health system and find solutions that make a difference."

"It's often assumed that the only way to reduce waiting lists is to hire more specialists. While more supply in the system will always be welcome, this research will help us to find innovative ways to provide the best possible care with the resources available," Prof Harding said.

The trials will utilise other health professionals to support the work of specialist doctors and employ modern technology, such as telehealth.

La Trobe Deputy Vice Chancellor, Research and Industry Engagement, Chris Pakes said Prof Harding's research underscored the value in the University working with external partners.

"I congratulate Katherine on her fantastic achievement and look forward to seeing the outcome of the trials this research will uncover," Prof Pakes said.

"We recognise the value of our partnership with Eastern Health in driving research impact in the healthcare sector. The outcomes of this project will be of benefit to many Australians who will be able to seek specialist care more immediately."

The NHMRC's Partnership Project scheme funds researchers and partner agencies to work together to collaboratively define research questions, undertake research, interpret the findings and translate them into health policies and healthcare practices.

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