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Pharma Campaign AI Conversation Assistant

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Introduction


Pharma Campaign AI Conversation Assistant

Pharma Campaign, a healthcare initiative focused on patient-centric solutions in Australia, aimed to enhance diabetes care by giving patients direct access to intelligent, reliable support. Their objective was to empower individuals with diabetes through meaningful AI-driven conversations from the pharmacy counter without increasing the burden on medical staff.

Challenge

Pharma Campaign faced multiple hurdles in delivering consistent, real-time guidance on diabetes management across its expanding network of pharmacies and clinics: Patients often received inconsistent or vague information about their medication and dietary needs. Pharmacy assistants lacked access to tools that could provide accurate, up-to-date answers on the spot. Adhering to Australian medical protocols and maintaining patient privacy was non-negotiable, making off-the-shelf solutions unsuitable.

Solution

Pharma Campaign partnered with Chirpn to address these challenges to develop a smart, intuitive AI Conversation Assistant tailored specifically for diabetes patients.

Leveraging fine-tuned large language models (LLMs), Chirpn built an assistant that could converse naturally with patients, offering real-time responses to queries about symptoms, medication, and diet, all while following Australia’s healthcare standards.

The core intelligence came from OpenAI’s advanced LLMs, fine-tuned with diabetes-specific data and Australian medical guidelines. The conversational AI assistant understands and responds to complex diabetes-related questions with medical precision. It is built to serve pharmacy assistants and patients, adjusting tone and content accordingly. Designed to meet Australian health data regulations while providing safe and secure interactions.

Impact

The rollout of Chirpn’s AI assistant has delivered measurable improvements, including 40% faster pharmacy interactions, allowing assistants to focus more on care and less on repetitive explanations. The client saw a higher patient engagement, with users reporting better understanding of their condition and treatment plans. The company also saw a boost in treatment adherence, thanks to real-time, digestible advice delivered right at the point of care.