ARTIFICIAL INTELLIGENCE IN PHARMACY: A CATALYST FOR CHANGE
V. Sankar*, A. Sneha, M. R. Siminas and S. Sivaranjani
ABSTRACT
1. With applications divided into six stages—basic, intermediate, complex, localized, multidisciplinary, and pervasive—the integration of Artificial Intelligence is revolutionizing pharmaceutical practices in clinical, community, and hospital settings.
2. While advanced Artificial Intelligence concentrates on drug development and customized treatment, basic Artificial Intelligence automates repetitive processes like data entry, while intermediate Artificial Intelligence employs predictive analytics to enhance medication interaction screening and therapeutic outcomes.
3. While interdisciplinary Artificial Intelligence combines data from multiple sources to improve patient safety and care, localized Artificial Intelligence applications cater to particular operational demands, such as adherence tracking in community pharmacies.
4. Pervasive Artificial Intelligence refers to the complete integration of Artificial Intelligence into every aspect of pharmacy operations, promoting medication adherence, patient safety, and drug discovery while enabling smooth communication between technology and healthcare.
5. Pharmacists will need continual education and training to effectively utilize Artificial Intelligence's potential and improve patient care as it continues to lower costs and increase pharmacy practice efficiency.
Keywords: AI, Cost-Effective, Adverse Drug Events, Catalyst, Patient Adherence.
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