Management of polypharmacy through deprescribing in older patients: a review of the role of AI tools.

Introduction: Deprescribing is crucial for improving patient safety since polypharmacy in older adults raises the likelihood of negative health outcomes. Artificial intelligence (AI) role in deprescribing has been rarely addressed.

Areas covered: This review looks at how AI techniques are now affecting evidence-based deprescribing for older patients. Studies addressing AI applications, including chatbots, mobile apps, clinical decision support systems (CDSS), and machine learning (ML) algorithms, were found through a thorough literature search. Using a broad range of AI, deprescribing, and older adult-related keywords, relevant studies published up until November 2024 were found through thorough searches of electronic databases. This review finds that these technologies help physicians forecast adverse drug events, identify potentially inappropriate drugs, and enhance medication management.

Expert opinion: AI-powered solutions have potential to improve patient outcomes and deprescribing procedures. However, issues including data quality, clinical acceptability, technology integration, and ethical considerations make practical adoption difficult. Extensive validation studies are required to confirm the safety and efficacy of these instruments. To make sure they enhance rather than complicate the deprescribing process, careful integration and ongoing assessment are necessary. Although AI can facilitate tailored deprescribing practice, it is essential to maintain human clinical touch and the patient-clinician interaction.