معرفی
Hugo van der Kuy is a Full Professor in the Department of Pharmacy at Erasmus MC, a leading academic medical center in the Netherlands. His work is situated at the intersection of clinical pharmacy, pharmacotherapy, and digital health innovation, with a strong focus on improving medication safety and personalized treatment approaches. He is actively involved in research related to polypharmacy, deprescribing, clinical decision support systems, and the application of 3D printing in pharmaceutical manufacturing.
His research interests center on enhancing pharmaceutical care for vulnerable populations, particularly the elderly and those with complex medication regimens. Key areas include:
- Optimizing medication use in nursing homes and hospital settings
- Reducing prescribing errors through pharmacist interventions
- Developing and evaluating clinical decision support tools
- Advancing personalized medicine via 3D printed dosage forms
- Improving patient compliance and quality of life through structured medication reviews
The trends in his recent publications reflect a strong commitment to translational research, combining clinical insight with technological innovation. His work spans epidemiological studies, economic evaluations, intervention trials, and technological assessments, demonstrating a multidisciplinary approach to solving real-world problems in pharmacotherapy. There is a consistent focus on patient safety, cost-effectiveness, and the integration of pharmacists into clinical decision-making processes.
Hugo van der Kuy has supervised postgraduate research, as indicated by the 'Supervised Work (3)' on his profile. While specific grant details are not provided, his extensive publication record across high-impact journals suggests successful acquisition of research funding. His collaborations span multiple institutions and clinical teams, particularly within the Dutch healthcare system.
He is affiliated with a research network that emphasizes:
- Polypharmacy and deprescribing
- Pharmaceutical care in aging populations
- Medication safety and error prevention
- Digital health and clinical informatics
- Pharmacoepidemiology and health services research
- Innovative drug delivery technologies
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