|Peer Reviewed, Refereed & Open Access Journal | Follows UGC CARE Journal Norms and Guidelines|
|ISSN 2349-6037|Approved by ISSN, NSL & NISCAIR| Impact Factor: 9.274 |ESTD:2013|
|Scholarly Open Access Journal, Peer-Reviewed, and Refereed Journals, Impact factor 9.274 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Multidisciplinary, Quarterly, Citation Generator, Digital Object Identifier(DOI)|
| TITLE | Advancing Hospital Pharmacy Automation: Impacts, Challenges, and Future Innovations in AI-Driven Medication Management |
|---|---|
| ABSTRACT | The use of automation within hospital pharmacy advances patient care, efficiency, and medication safety. We will review current hospital pharmacy automation technologies (for example; robotic dispensing and AI-enabled clinical support), and the potential benefits of leveraging those systems (such as time savings and reduced medication error). However, data quality challenges, and capacity to integrate legacy technology complicate and hamper the overall benefit of a pharmacy automation system. New technologies, such as digital twins and real time analytics, may offer much more transformational opportunities in pharmacy practice and practice beyond traditional pharmacy roles to engagement and clinical stewardship. All recommended best practices include readiness to implement in phases, data governance, and engaging stakeholders. Pharmacy automation provides the opportunity to transition from current models of care and outcomes determined by technology. Pharmacy automation presents a new way of delivering precision care and technology-enabled analytics; with the pharmacist at the center of health information management, of digital client care, to impact patient outcomes. |
| AUTHOR | Rajesh Karvannan Senior Specialist Engineer, Global Logic Worldwide Holdings - A Hitachi Group Company, USA |
| PUBLICATION DATE | 2025-11-19 19:07:23 |
| VOLUME | 13 |
| ISSUE | 2 |
| DOI | DOI: 10.15662/IJMSERH.2025.1302077 |
| pdf/2025/4/77_Advancing Hospital Pharmacy Automation Impacts, Challenges, and Future Innovations in AI-Driven Medication Management.pdf | |
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