Early-career rural GPs often navigate a complex web of responsibilities—clinician, supervisor, community advocate, administrator—before they’ve had time to find solid footing. The cumulative load can lead to role overload, blurred boundaries, and a quiet sense of disconnect from what originally motivated them to work rurally.

This study explores how coaching can support rural GPs in managing these overlapping roles and staying aligned with their values. Ten early-career rural GPs completed a survey and responded to coaching vignettes depicting common challenges: competing demands, guilt around saying no, and uncertainty about long-term direction.

Findings show role overload is common, with many participants reporting stress, difficulty prioritising, and limited space for reflection. Coaching tools such as values clarification, role mapping, and boundary setting were perceived as useful and applicable.

With that, this study investigates how coaching can be integrated into rural GP support structures to build clarity, confidence, and professional sustainability, particularly for those navigating the early years of a demanding yet rewarding career path.

The burden of pain weighs more heavily on rural Australians compared with our major city counterparts. Almost a third of Australians live outside major cities yet face considerably more difficulty accessing pain specialists.

The lack of rural opportunities available for pain medicine training leaves many rural doctors with limited options – often leading to loss of doctors in communities for the two-year training program, or permanent relocation to major cities.

Following a successful Australian Government grant, the Faculty of Pain Medicine (ANZCA) began exploring flexible accreditation pathways for pain medicine training sites in rural Australia. Through broad stakeholder engagement, surveys and an environmental scan, the faculty identified key barriers and developed adaptable accreditation options tailored to rural needs.

These flexible pathways aim to enable local units to offer accredited training, fostering a "grow your own" approach to rural pain medicine. With applications now open, the faculty plans to visit and accredit several units, providing rural doctors of specialist and generalist backgrounds with more rural training options. This initiative aims to strengthen rural training capacity and better address the growing burden of pain in rural communities.

There has been a rise of rural generalist choosing cognitive advance skills training, with the fields of rural generalist palliative care, mental health, pediatrics, internal medicine and Aboriginal and Torres Strait Islander medicine expanding over the last decade. These skills are highly desirable for communities and allows patients to access higher level care close to home from doctors who understand their community and context.
Medical administrators, hospital executives and business managers are used to the employment and opportunities around procedural rural generalist but can be perplexed on how to best utilise, structure and fund the outpatient clinics of the cognitive advance skills

**Background:**
General practice faces increasing challenges in managing complex health needs through early identification and prevention. Predictive analytics and risk assessment, supported by artificial intelligence (AI), offer opportunities to enhance patient care by forecasting health events and stratifying risk at an individual and population level. However, the extent to which AI has been integrated into predictive analytics within general practice remains unclear.
**Objectives:**
This study aims to: (1) systematically review current practices, tools, and challenges related to predictive analytics and risk assessment in general practice; and (2) synthesise available evidence on the implementation and use of AI in predictive analytics within this setting.
**Methods:**
A systematic literature review will be conducted following the PRISMA guidelines. Databases including Medline/PubMed, Embase, and Google Scholar will be searched for studies examining AI applications in predictive analytics and risk assessment in general practice.
**Expected Outcomes:**
The review will provide a structured synthesis of current knowledge regarding AI-supported predictive analytics in general practice. This will inform future phases of AI model design tailored for general practice needs.
**Conclusion:**
This systematic review will map the current landscape of AI use in predictive analytics and risk assessment in general practice.

Infertility places substantial burden on couples and families, particularly those with infertility who live in rural and remote areas where fertility services are less available. Peer-reviewed studies have shown that increased pregnancy rates can be achieved by employing a “restorative” approach that methodically investigates causes of infertility and employs techniques such as hormone replacement, as well as ovulation induction and triggering, and targeted gynaecological surgery. This restorative approach is underpinned by women being taught to chart the physiological signs of their menstrual cycle, and to undertake fertility-focussed intercourse, which also independently increases pregnancy rates.
NaProTechnology GPs or Obstetrician/Gynaecologists have undertaken certified training in restorative reproductive medicine and/or surgery. They collaborate closely with allied health Instructors who educate women on menstrual cycle tracking to identify their fertile window, as well as reveal other patterns that may indicate potential reproductive health concerns.
We present case studies of women undergoing NaProTechnology investigation and management via telehealth. These cases demonstrate remote collaboration with local GPs, Allied Health, and specialist Gynaecology services. This comprehensive approach to fertility care identifies underlying correctible disorders contributing to infertility, is collaborative and empowering for the couples involved, and addresses the disparity in reproductive health care available outside metropolitan areas.