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Nedal, Nevien
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Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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AI-integrated pharmacy systems: bridging technology, ethics, and patient care El-Dalahmeh, Adi; Nedal, Nevien; Abu Maria, Khulood; Abu Tarboosh, Sara
International Journal of Advances in Applied Sciences Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i4.pp1305-1321

Abstract

The operation of pharmacy systems undergoes transformation through artificial intelligence (AI), which advances from manual procedures to intelligent adaptive tools. These technologies enhance daily operations through prescription verification, drug interaction alerts, and inventory management while decreasing human mistakes. Through AI, patients gain access to customized medication recommendations, automatic appointment alerts, and virtual support services. The advancement of technology creates multiple new difficulties for healthcare systems. The increasing integration of AI in healthcare creates growing concerns about data privacy alongside algorithmic bias and the requirement for decision-making explanations. This paper evaluates AI systems against conventional pharmacy methods through an assessment of their precision and speed and their impact on patient safety and ethical preparedness. The adoption of AI systems requires strong ethical protections together with defined regulatory frameworks to maintain human clinical decision-making authority in patient care.
Co-Authors Abu Maria, Khulood Abu Tarboosh, Sara El-Dalahmeh, Adi