An AI “supervisor” developed at the RACGP 2026 Hackathon highlights a new model for continuous GP development, delivering post-consultation feedback based on clinical notes. By prompting reflection, identifying blind spots, and suggesting targeted learning, it addresses the long-standing gap in supervision once doctors enter independent practice.
For health tech, this signals a scalable opportunity in workflow-integrated education and decision support, particularly for platforms that embed into clinical systems and demonstrate measurable impact.
For pharma, it points to a shift toward personalised, case-based engagement, where evidence and education are delivered in real clinical context rather than through traditional CPD channels.
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