Papers

1

Total Citations

4

H-Index

1

About

M. Tovar-Pozo is a researcher focused on patient safety and health technology assessment, with a particular emphasis on the integration of automation in pharmacy practice. Their most cited work, "DD-012 A risk analysis method to evaluate the impact of robotic dispensing on patient safety" (2016), introduces a prospective risk analysis method to assess how robotic dispensing systems affect safety in outpatient pharmacies. This contribution is significant because it addresses a critical gap in the literature—prior to this study, no systematic data existed on the safety implications of such automation. By applying a structured risk analysis framework, Tovar-Pozo’s work provides a replicable methodology for evaluating and mitigating potential hazards, thereby supporting safer implementation of robotic technologies in healthcare settings. While their citation count (4) reflects a niche but impactful audience, the study’s practical relevance for hospital administrators, pharmacists, and patient safety officers underscores its value. Tovar-Pozo’s research bridges engineering, clinical practice, and risk management, offering actionable insights for improving medication safety through technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
DD-012 A risk analysis method to evaluate the impact of robotic dispensing on patient safety
4 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Hospital General Universitario Gregorio Marañón

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago