By Asif Mukhtar, Founder & CEO (Consultant Pharmacist), PharmBot AI
Artificial intelligence has reshaped the way we access information — including health information. Patients are increasingly turning to large language models (LLMs) like ChatGPT for answers about symptoms, treatments, and even drug interactions.
But as impressive as these systems are, there’s a crucial boundary that too many people — including healthcare innovators — overlook: AI models are not licensed clinicians, and they must not give medical advice.
This isn’t just a legal technicality. It’s a matter of safety, accountability, and trust.
The Line Between Information and Advice
According to OpenAI’s latest usage policies (November 2025), ChatGPT and similar models are prohibited from providing “tailored advice that requires a licence, such as legal or medical advice.”
Instead, these systems can only offer general educational information — for example, explaining how hypertension is treated, what PGDs are, or how pharmacists fit into digital healthcare systems.
That distinction sounds small but it’s critical. Once an AI system begins suggesting what a specific patient should do — what drug to take, what dose, or whether to seek urgent care — it crosses into regulated territory that requires professional accountability.
And that’s where things can go dangerously wrong.
Why AI “Advice” Is Still Unsafe
Even the most advanced LLMs remain probabilistic — they generate plausible text based on patterns in data, not verified medical reasoning.
They can sound confident while being clinically wrong, misinterpreting symptoms, or overlooking contraindications.
Studies continue to show that, without human oversight, LLMs can produce unsafe or misleading medical outputs. The technology simply hasn’t reached a level of reliability where autonomous decision-making is acceptable in healthcare.
This is why regulators, including the UK’s MHRA, the FDA, and the Saudi Food and Drug Authority (SFDA), are moving toward frameworks that require validation, traceability, and clinician oversight for all AI-driven medical software.
What Responsible Use Looks Like
In healthcare, AI should augment, not replace, professional judgement.
That’s the principle we’ve built into AIVAe, PharmBot AI’s flagship assistant. It supports pharmacists and clinical teams by automating documentation, checking compliance, and surfacing information — not by giving unverified medical advice.
The pharmacist remains in control, the clinical decision remains human, and the AI remains a support system — an intelligent colleague, not an autonomous prescriber.
This design philosophy is what separates safe, compliant innovation from dangerous experimentation.
The Role of Pharmacists in the AI Era
Pharmacists are uniquely positioned to lead the responsible adoption of AI in healthcare.
Our profession is built on precision, evidence, and accountability — the same qualities that AI must now be trained to respect.
As we integrate digital tools into practice, we must demand transparency, auditability, and validation.
AI can streamline our workflows, predict risks, and free us to focus on patient care — but only if it’s implemented within the ethical and professional boundaries that protect patients.
Final Thought
AI’s potential in healthcare is extraordinary — but so are its risks.
The real innovation lies not in pushing AI to “act like a doctor,” but in building systems that make doctors, pharmacists, and nurses smarter, faster, and safer in what they already do.
At PharmBot AI, that’s the standard we’re holding ourselves to. Because in healthcare, the line between innovation and irresponsibility is drawn where patient safety begins.