Chronic condition management remains a key health priority for Murray PHN. To ensure that our funding remains targeted, so that people with the greatest needs continue to get the support they need, we have recently completed extensive consultation and data reviews.

To maximise efficiencies, equity of access and patient outcomes, the existing chronic disease management program will end on 30 June 2026, and a new Health Connection and Chronic Care Management (HCCCM) program introduced on 1 July 2026.

An open market tender will open in January, with both current and potential new providers encouraged to apply. Organisations who’re interested in learning more can attend an online information briefing before the tender opens.

More information

When is the briefing and how do I register?
The online information briefing is taking place at 12pm on Thursday 22 January 2026. Click here and fill in your details to attend the briefing. A link to the online meeting will be provided to those who have registered.

When will the tender open?
The tender will open on eProcure on Friday 23 January, 2026.

How do I apply for the tender?
Request for Tender documents will be accessible via the web-based e-procurement (eProcure) portal. Only registered users will be able to download the Request for Tender documents once released and respond to the opportunity through eProcure. Registration is free. Click here to register for eProcure.

How long will the tender be open for?
The tender will be open for four weeks and will close on Friday 20 February 2026.

When will the tender outcome be communicated to applicants?
Tender outcomes will be communicated to all applicants on Friday 20 March 2026.

What chronic conditions and geographical regions will chronic condition services be delivered into in the new program tender?
Murray PHN will continue prioritising chronic diseases of highest regional impact such as chronic obstructive pulmonary disease, diabetes and cardiovascular disease. Funding will be place-based and directed towards priority locations and service types based on multiple sources of data, including rates of chronic disease, socioeconomic disadvantage, low English proficiency, potentially preventable hospitalisations for chronic conditions, existing health infrastructure and service availability, distance to services and service gaps.