The future of pharmacy staff and artificial intelligence
محل انتشار: دومین کنگره بین المللی هوش مصنوعی در علوم پزشکی
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 80
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شناسه ملی سند علمی:
AIMS02_376
تاریخ نمایه سازی: 29 تیر 1404
چکیده مقاله:
Background and Aims: The integration of Artificial Intelligence (AI) in pharmacies is expected to bring significant changes to pharmaceutical workflows. While AI can automate routine tasks and improve efficiency, it also presents challenges and impacts the roles of pharmacy staff. This study explores the benefits and potential drawbacks of AI implementation in pharmacy settings, particularly in relation to human resources. Methods: The study analyzes the application of AI technologies such as prescription processing systems, drug interaction checkers, chatbots, and intelligent inventory management tools. It also examines how these systems influence pharmacy operations and the skills required for future pharmaceutical professionals. Results: AI offers numerous advantages in pharmacies, including improved efficiency and accuracy in data processing, enhanced medication counseling, increased access to pharmaceutical services through online platforms, better inventory control, and reduced medication errors. However, challenges include the reduction of traditional roles, the necessity for new skill development among pharmacists, and concerns about job displacement. Despite automation, human expertise remains vital for complex clinical evaluations and personalized care. Conclusion: AI has the potential to transform pharmacy practice by streamlining operations and improving service quality. Nevertheless, to ensure a balanced and effective integration, there must be a focus on upskilling pharmacy staff and redefining roles to harmonize human and machine collaboration in healthcare delivery.
کلیدواژه ها:
نویسندگان
Arezou Fattahi
Department of Clinical Informatics and Artificial Intelligence, Kurdistan University of Medical Sciences, Sanandaj, Iran
Hooman Ghasri
Department of Clinical Informatics and Artificial Intelligence, Kurdistan University of Medical Sciences, Sanandaj, Iran