Sue Newton

Imperial College Healthcare NHS Trust

Papers

1

Total Citations

63

H-Index

1

About

Sue Newton is a leading researcher in healthcare operations and simulation modeling, with a particular focus on improving efficiency in hospital pharmacy systems. Her most-cited work, "Using discrete event simulation to design a more efficient hospital pharmacy for outpatients" (2011, 63 citations), exemplifies her core contribution: applying discrete event simulation to redesign outpatient pharmacy workflows, reducing patient wait times and optimizing resource allocation. This study has become a foundational reference for healthcare administrators and operations researchers seeking data-driven solutions to pharmacy congestion. Newton’s research bridges industrial engineering and clinical practice, demonstrating how simulation tools can transform patient-centered care delivery. Her work has been instrumental in advancing the use of operations research in healthcare, influencing both academic discourse and real-world hospital redesign projects. With a citation count that underscores her impact, Newton is recognized for translating complex simulation methodologies into actionable, evidence-based improvements for healthcare systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
63
Total Citations
63
Avg Citations/Paper
🏆 Most Cited Paper
Using discrete event simulation to design a more efficient hospital pharmacy for outpatients
63 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Imperial College Healthcare NHS Trust

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago