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AI shows potential to improve rural medication safety, review finds

By PulseAugur Editorial · [1 sources] ·

A scoping review published on arXiv details the application of AI in rural healthcare to improve medication safety. The review analyzed twelve studies from nine countries, finding that AI technologies are integrated across all stages of medication management, from prescribing to monitoring. Machine learning, in particular, shows promise in reducing medication errors by up to 80%. However, challenges such as infrastructure limitations, clinician resistance, and lack of governance frameworks remain significant obstacles to widespread adoption. AI

IMPACT AI integration in rural healthcare could significantly reduce medication errors and improve patient safety, though infrastructure and adoption challenges need addressing.

RANK_REASON The cluster is based on an academic paper published on arXiv detailing a scoping review of AI applications in healthcare. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI shows potential to improve rural medication safety, review finds

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The cluster is based on an academic paper published on arXiv detailing a scoping review of AI applications in healthcare. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jeong-ah Kim, Muhammad Ashad Kabir, Daniel Terry, Maryam Rouhi ·

    Improving Rural Medication Safety with AI: A Scoping Review

    arXiv:2608.18135v1 Announce Type: new Abstract: Introduction: Medication errors (MEs) represent a significant threat to global healthcare systems, contributing to patient harm. Introducing artificial intelligence (AI) in rural healthcare enhances patient safety. The aim is to exp…

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