AI Shows Promise for Rural Medication Safety, Reducing Errors.

Medication errors pose a substantial risk to global healthcare, particularly in rural areas where resources may be limited. A recent scoping review investigated the potential of artificial intelligence to improve medication safety in these underserved settings. The review systematically analyzed literature from 2012 to 2025, identifying twelve key studies across nine nations. The findings indicate that AI technologies are being successfully integrated into all phases of medication management, from initial prescribing to post-administration monitoring. Various AI types, such as Clinical Decision Support Systems, Machine Learning, and Natural Language Processing, have demonstrated effectiveness in minimizing errors and improving workflow safety. Some studies reported impressive reductions in prescribing and transcription errors, ranging from 34% to 80%. However, the review also highlighted significant challenges, including inadequate infrastructure, limited staff training, integration complexities, alert fatigue, and a lack of governance frameworks.