AI-Driven Compliance and Risk Governance in Pharmacy Practice

The integration of artificial intelligence (AI) into pharmacy governance offers transformative potential to strengthen compliance, enhance risk detection, and reinforce ethical safeguards in healthcare systems. This paper examines how AI-driven tools ranging from automated compliance audits to predictive analytics for fraud detection can be harnessed to improve regulatory oversight in pharmacy practice. Drawing on governance and risk management theories, the study synthesizes existing literature on AI applications in healthcare, evaluates alignment with international frameworks such as ISO/IEC 38500, COSO-ERM, and the WHO Good Governance for Medicines, and proposes a conceptual AI-Integrated Pharmacy Governance Framework. The model emphasizes compliance monitoring, risk governance, and ethical accountability to address emerging challenges such as patient data privacy and transparency. By advancing a structured governance model, this paper highlights AI's capacity to balance innovation with regulatory rigor, offering pathways toward more accountable, efficient, and trustworthy pharmacy systems.