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dr.ir. W. Oude Nijeweme - d'Hollosy (Wendy)

Researcher

About Me

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).

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/)

Expertise

Datasets
Machine Learning
Primary Health Care
Low Back Pain
Referral And Consultation
Self Care

Organizations

Publications

Recent
Swinkels, I. C. S., Huygens, M. W. J., Schoenmakers, T. M., Oude Nijeweme-d'Hollosy, W., van Velsen, L., Vermeulen, J., ... de Witte, L. (2018). Lessons Learned From a Living Lab on the Broad Adoption of eHealth in Primary Health Care. Journal of medical internet research, 20(3), [e83]. DOI: 10.2196/jmir.9110
Oude Nijeweme-d'Hollosy, W., van Velsen, L., Poel, M., Groothuis-Oudshoorn, C. G. M., Soer, R., & Hermens, H. (2018). Evaluation of three machine learning models for self-referral decision support on low back pain in primary care. International journal of medical informatics, 110, 31-41. DOI: 10.1016/j.ijmedinf.2017.11.010
d'Hollosy, W. (2017). Interoperability and machine learning in primary care: A clinical decision support system for low back pain Enschede DOI: 10.3990/1.9789036544528
van Velsen, L. S., Oude Nijeweme-d'Hollosy, W., & Hermens, H. J. (2016). A maturity model for interoperability in eHealth. In 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) (pp. 619-624). Munich, Germany: IEEE Computer Society. DOI: 10.1109/HealthCom.2016.7749533
Oude Nijeweme-d'Hollosy, W., van Velsen, L. S., Soer, R., & Hermens, H. J. (2016). Design of a web-based clinical decision support system for guiding patients with low back pain to the best next step in primary healthcare. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) (pp. 229-239). Portugal: SCITEPRESS - Science and Technology Publications. DOI: 10.13140/RG.2.1.3527.8480
Oude Nijeweme-d'Hollosy, W., van Velsen, L. S., Groothuis-Oudshoorn, C. G. M., Soer, R., & Hermens, H. J. (2016). Should I see a healthcare professional or can I perform self-care: self-referral decision support for patients with low back pain. In Proceedings 2016 IEEE International Conference on Healthcare Informatics (pp. 495-503). Chicago: IEEE Computer Society. DOI: 10.1109/ICHI.2016.90
Oude Nijeweme-d'Hollosy, W., van Velsen, L. S., Huygens, M., & Hermens, H. J. (2015). Requirements for and barriers towards interoperable ehealth technology in primary care. IEEE internet computing, 19(04), 10-19. DOI: 10.1109/MIC.2015.53
Oude Nijeweme-d'Hollosy, W., van Velsen, L. S., & Hermens, H. J. (2015). Barriers and requirements for achieving interoperable eHealth technology in primary care. In 5th Dutch Bio-Medical Engineering Conference 2015 (pp. 167-168). Egmond aan Zee: BME. DOI: 10.13140/RG.2.1.4171.9528
Vermeulen, J., Huygens, M., de Witte, L. P., Oude Nijeweme-d'Hollosy, W., Swinkels, I., van Velsen, L. S., & Jansen, Y. (2015). eLabEL: Technology-supported living labs in primary care. In eTELEMED 2015 : The Seventh International Conference on eHealth, Telemedicine, and Social Medicine (pp. 179-182). Washington, DE, USA: International Academy, Research, and Industry Association (IARIA). DOI: 10.13140/RG.2.1.3707.5285
van Velsen, L. S., Solana, J., Oude Nijeweme-d'Hollosy, W., Garate-Barreiro, F., & Vollenbroek-Hutten, M. M. R. (2015). Advancing telemedicine services for the aging population: The challenge of interoperability. In C. Sik-Lányi, E-J. Hoogerwerf, K. Miesenberger, & P. Cudd (Eds.), Assistive technology (pp. 897-900). (Studies in health technology and informatics; Vol. 217, No. 217). Amsterdam, the Netherlands: IOS Press. DOI: 10.3233/978-1-61499-566-1-897
Oude Nijeweme-d'Hollosy, W., van Velsen, L. S., Swinkels, I. C. S., & Hermens, H. J. (2015). Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain. In 17th International Symposium on Health Information Management Research (ISHIMR 2015) (pp. 49-59). York, England: York St. John University. DOI: 10.13140/RG.2.1.3821.0003
van Velsen, L. S., Oude Nijeweme-d'Hollosy, W., & Hermens, H. J. (2014). eLabel: living labs for implementation and evaluation of integrated technology in primary care. 256-257. Paper presented at 8th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2014, Oldenburg, Germany.DOI: 10.4108/icst.pervasivehealth.2014.254933

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University of Twente
Faculty of Electrical Engineering, Mathematics & Computer Science
Horst - Zuidhorst (building no. 28)
De Horst 2
7522LW  Enschede
The Netherlands

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University of Twente
Faculty of Electrical Engineering, Mathematics & Computer Science
Horst - Zuidhorst
P.O. Box 217
7500 AE Enschede
The Netherlands

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7522 NB Enschede
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