May Hassan ElLithy
Papers
1
Total Citations
15
H-Index
1
About
Dr. May Hassan ElLithy is a leading researcher in pharmacy automation and patient safety, with a focused expertise in the implementation of robotics and automated systems within hospital pharmacies. Her work critically addresses the operational and safety challenges of integrating advanced technology into healthcare settings, particularly in the Arabian Gulf region. Her most cited paper, a 2023 study employing Failure Mode and Effects Analysis (FMEA), provides a qualitative framework for identifying and mitigating risks during pharmacy automation rollouts in JCI-accredited hospitals. This research has garnered 15 citations, underscoring its practical value for healthcare administrators and pharmacists navigating the transition to automated dispensing. Dr. ElLithy’s contributions are notable for bridging the gap between technological innovation and real-world clinical implementation, offering actionable insights to reduce medication errors and streamline workflows. Her work serves as a vital resource for hospitals aiming to enhance safety and efficiency, positioning her as a key voice in the evolving field of healthcare automation and quality improvement.
Research Focus
Key Achievements
Top Papers
- 1