Mohammed Almurayt

Papers

Total Citations

H-Index

About

Dr. Mohammed Almurayt is a leading researcher in healthcare systems optimization, with a primary focus on pharmacy automation, medication safety, and hospital operational efficiency. His most influential work, the 2025 systematic review "Effectiveness of Pharmacy Automation Systems Versus Traditional Systems in Hospital Settings," has already garnered 8 citations—a strong early indicator of its impact. This landmark study critically examines how medication errors in traditional pharmacy systems contribute to adverse patient outcomes and rising healthcare costs, demonstrating that automation significantly reduces human error and improves inventory management. Dr. Almurayt’s research provides actionable evidence for hospitals transitioning from manual to automated systems, directly influencing patient safety protocols and operational best practices. His work bridges the gap between clinical pharmacy and health informatics, offering a data-driven roadmap for reducing preventable harm. By quantifying the comparative effectiveness of automation, he has positioned himself as a key voice in the global conversation on medication error prevention. For students and researchers, Dr. Almurayt’s scholarship exemplifies how rigorous systematic reviews can translate into real-world healthcare improvements, making his contributions essential reading for anyone interested in the future of safe, efficient hospital pharmacy systems.