At ACRRM, we know rural and remote generalists are time-poor and often overburdened. That’s why we focus not on AI as a concept, but on practical digital tools that help solve real business problems in healthcare.
Artificial Intelligence (AI) in general practice isn’t one-size-fits-all. Instead, AI refers to a growing suite of tools that perform specific tasks to support your clinical and administrative work.
Common business uses of AI in practice:
These tools are already being used in rural practices to:
AI can analyse vast amounts of patient data, research findings, and medical literature, providing healthcare practitioners with real-time access to relevant information and evidence-based recommendations. AI can help coordinate care across different settings and specialties, ensuring a smooth transition for patients as they move through the healthcare system.
AI-powered chatbots and virtual assistants can facilitate communication between team members, patients, and their families, ensuring that everyone is on the same page regarding care plans and updates. AI-driven tools can provide patients with personalised information about their conditions, medications, and self-care practices, improving patient engagement and adherence to treatment plans.
AI algorithms can analyse patient data to identify potential risks, predict patient deterioration, and suggest tailored treatment plans, empowering healthcare teams to make more informed decisions.
AI can automate routine tasks such as appointment scheduling, repeat prescriptions, and billing, freeing up healthcare professionals to focus on direct patient care.
By providing timely and accurate information, AI can reduce patient anxiety and improve their overall experience with the healthcare system.
Our approach is simple: AI should help rural doctors do their jobs, not replace them. We support innovation that enhances care while protecting safety, privacy, and professional integrity.
Our principles include:
AI algorithms can perpetuate existing biases in healthcare data, leading to disparities in care. It is important to address these biases and ensure that AI systems are fair and equitable.
It is important to consider the ethical implications of using AI in healthcare, such as the potential for dehumanisation of care and the impact on the healthcare workforce.
Healthcare professionals need to understand how AI systems make decisions, so that they can trust and effectively use them.
It is crucial to ensure that patient data is protected and that AI systems are compliant with privacy regulations.
Read our feedback to Department of Health and Aged Care on Safe and Responsible Artificial Intelligence in Health Care October 2024.
Read ACRRM Position Statement on AI in healthcare (July 2024).
Whether you're exploring your first digital scribe or considering how AI fits into your governance framework, ACRRM provides practical, relevant resources:
with MIPS - 20 Feb 2025
(Presenter: Justin Spangaro) - 11 November 2024
ACRRM Digital Health Committee invites members to contribute to our evolving approach to AI. Whether you're curious, cautious, or experienced, your insights can shape the next phase of AI integration in rural healthcare.
We welcome: