Ravi Patel

2 weeks ago | drugtopics.com | Ashley Gallagher |Ravi Patel

Artificial intelligence (AI) is rapidly transforming pharmacy practice, offering unprecedented capabilities in predictive modeling, clinical documentation, and personalized medicine. By leveraging advanced technologies like machine learning, natural language processing, and deep learning, pharmacists can now anticipate medication outcomes, generate clinical notes, and reconcile complex patient data with genomic knowledge more efficiently than ever before.

3 weeks ago | drugtopics.com | Ashley Gallagher |Ravi Patel |Alisha Reed |Susan Cornell |Kari Franson |Lauren B. Angelo

The conversation highlights the rapidly evolving landscape of pharmacy, with a strong emphasis on technological innovation, professional development, and advocacy.

1 month ago | drugtopics.com | Ashley Gallagher |Ravi Patel

Ravi Patel, PharmD, MBA, MS, lead innovation advisor in the School of Pharmacy at the University of Pittsburgh, explores the complex landscape of artificial intelligence (AI) implementation in health care, with a particular focus on the critical role pharmacists can play in navigating technological challenges. Patel emphasizes that while AI presents innovative opportunities, it also introduces significant ethical and practical considerations that require careful human oversight.

1 month ago | pharmacytimes.com | Kennedy Ferruggia |Ravi Patel

CommentaryArticleMarch 22, 2025Author(s):,AI is offering new ways to support pharmacists' decision-making and patient care. Pharmacy Times® interviewed Ravi Patel, PharmD, MBA, MS, lead innovation advisor at the University of Pittsburgh School of Pharmacy, on his presentation at the American Pharmacists Association (APhA) Annual Meeting & Exposition. Patel discusses the applications of artificial intelligence (AI) in pharmacy.

1 month ago | drugtopics.com | Ashley Gallagher |Ravi Patel

Generative artificial intelligence (AI) represents the culmination of over 50 years of computer science evolution, with foundational components like machine learning, natural language processing, and deep learning playing critical roles. In pharmacy, these technologies offer transformative potential across multiple domains, Ravi Patel, PharmD, MBA, MS, lead innovation advisor in the School of Pharmacy at the University of Pittsburgh, explained.