Scholarlink

Background <p>Medication non-adherence remains a significant barrier to optimal clinical outcomes in pharmaceutical care. While traditional interventions often fail to address individual patient complexities, Artificial Intelligence (AI) offers a personalized, data-driven alternative.</p> Objective <p>This study evaluates the integration of AI-powered tools within the pharmacy to enhance medication adherence.</p> Methods <p>A systematic review was conducted across PubMed, Scopus, and Google Scholar for studies published through August 2024.</p> Results <p>AI improves adherence through four primary modalities: predictive analytics for identifying high-risk patients, mobile health (mHealth) applications for behavioral reinforcement, smart pill dispensers for real-time tracking, and conversational agents (chatbots) for continuous patient support. These tools enable pharmacists to shift from reactive to proactive care, significantly improving therapeutic monitoring and chronic disease management.</p> Conclusion <p>Integrating AI into the pharmaceutical care cycle enhances the pharmacist’s ability to provide tailored interventions, though challenges regarding data privacy and implementation costs remain.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial intelligence applications in pharmacy to enhance medication adherence and improve patient outcomes

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月21日

查看全文
  • Nadia Al mazrouei,
  • Amal Alhosani,
  • Abdulrahman Almutairi,
  • Abdulwahab Alghunaiman,
  • Rana Ibrahim,
  • Wael Kamel Ali Ali,
  • Kahlid Awad Al-Kubaissi,
  • Osama Mohamed Ibrahim,
  • Derar H. Abdel-Qader,
  • Ali Awadallah Saeed,
  • Mohamed H Ahmed,
  • Safaa Badi

摘要

Background

Medication non-adherence remains a significant barrier to optimal clinical outcomes in pharmaceutical care. While traditional interventions often fail to address individual patient complexities, Artificial Intelligence (AI) offers a personalized, data-driven alternative.

Objective

This study evaluates the integration of AI-powered tools within the pharmacy to enhance medication adherence.

Methods

A systematic review was conducted across PubMed, Scopus, and Google Scholar for studies published through August 2024.

Results

AI improves adherence through four primary modalities: predictive analytics for identifying high-risk patients, mobile health (mHealth) applications for behavioral reinforcement, smart pill dispensers for real-time tracking, and conversational agents (chatbots) for continuous patient support. These tools enable pharmacists to shift from reactive to proactive care, significantly improving therapeutic monitoring and chronic disease management.

Conclusion

Integrating AI into the pharmaceutical care cycle enhances the pharmacist’s ability to provide tailored interventions, though challenges regarding data privacy and implementation costs remain.