The Importance of Prescription Audits: Navigating Complexities and AI-Driven Advancement

By detecting and reducing pharmaceutical prescription errors, prescription audits aim to ensure patient safety and efficiency in healthcare. Manual and artificial intelligence (AI) driven prescription audit with methods are the primary focus of the discussion, which also addresses the challenges and potential of prescription audits. Prescription audits will also be labour-intensive, time-consuming, and entail a range of prescribing modes. Automation keeps up with rapid changes thanks to well-established infrastructure and data quality. This might stand alone in reducing pharmaceutical errors, building up professional responsibility, and improving patient outcomes in an increasingly digital health arena. However, several developing technologies in sectors such as CDSSs, ML, and hybrid models hold enormous potential for solving such obstacles. Such technology will help health organisations streamline audits, automatically detect errors in real-time, and enhance overall prescription precision. To ensure safety and effectiveness, the deployment of such automated systems relies on a comprehensive analysis of ethical concerns and adherence to regulatory requirements. The research reveals that these technologies are expanding for application in various healthcare settings, leading to more effective and reliable therapy.