Dr. Lisette Van Gemert Pijnen

Professor

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Biography

Lisette van Gemert-Pijnen is a Full Professor of Persuasive Health Technology at the University of Twente, leading the Persuasive Health Technology Lab within the Center for eHealth & Wellbeing Research. Her research focuses on the design, implementation, and evaluation of human-centered technologies aimed at improving healthcare quality and safety. Van Gemert-Pijnen’s interdisciplinary approach integrates persuasive psychology, engineering, and implementation science to address health-related challenges. She actively collaborates with several international universities, including the University of Waterloo and the University of Oulu, enhancing the exchange of knowledge and research in the field of persuasive health technology. Her work includes the development of user-centered applications and business models that support behavior change and health management, particularly concerning chronic diseases and infectious diseases in the Euregio region. She has published extensively on eHealth interventions, user engagement, and the application of persuasive technology in healthcare settings, contributing significantly to both academic literature and practical applications in health sciences.

Research Interests

Experience

Full Professor

2015-01-01 — Present

University of Twente • Enschede, Netherlands

Leading the Persuasive Health Technology Lab, focusing on technology implementation and evaluation in healthcare.

Requirements for University of Twente

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:90
GMAT
Total Score
Required:600
Overall
Required:600
GRE General
Verbal
Required:143
Verbal Percentile
Required:25
Quantitative
Required:155
Quantitative Percentile
Required:60
Analytical Writing
Required:3
Writing Percentile
Required:25
Prerequisites
Bachelor of Science in a related field Knowledge of Statistics and Probability Knowledge of Mathematics Specialization-related topics: Operation Research, Simulation, Financial topics
Application Checklist
  • Transcript of records
  • Copy of diploma
  • Motivation letter
  • Resume (Europass format)
  • Course descriptions of relevant courses
  • English summary of thesis
Specialization Notes

Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.