Wendy works in the field of health informatics, with as main topics eHealth technologies, clinical decision supports systems (CDSS), and the application of interoperability and machine learning to optimize the referral and treatment of patients in healthcare. Currently, this research is focused on patients with low back pain (LBP), but in the near future this research will also be extended to other musculoskeletal problems.
She earned her MSc degree in Computer Science, with a Biomedical note, at the University of Twente in 1991. After her graduation she worked as a computer scientist and researcher in the department Urologic Information Center Biomedical Engineering (UIC/BME) at the Radboud UMC, Nijmegen. After this, she became lecturer in knowledge systems, artificial intelligence, computer graphics and internet applications at the department Technical Computer Science, HAN University of Applied Sciences in Arnhem. From 1999 till now she also worked in her own business (Ilca Media) in web development and IT advice. Next to this, from 2003 until 2005 she worked at the Roessingh Research and Development on different e-Health projects as Exozorg, ALS telecare and CP Zorgketen.
In January 2014 Wendy started her PhD research at the University of Twente on interoperable eHealth and telemedicine technologies, clinical decision support and machine learning. In December 2017 she defended her PhD thesis entitled Interoperability and machine learning in primary care: A clinical decision support system for low back pain.
Currently, she is working as researcher and lecturer. Within the university, she works for the Telemedicine part of the Biomedical Signals and Systems (BSS) group (https://www.utwente.nl/en/eemcs/bss/), the Centre for Monitoring and Coaching (CMC) (https://www.utwente.nl/ctit/cmc/) and Creative Technology (https://www.utwente.nl/en/create/)