Wendy works in the field of health informatics, with as main topics data science, personalized eHealth technologies, clinical decision supports systems, and the application of interoperability and machine learning to optimize the referral and treatment of patients in healthcare.
She was involved at RRD (www.rrd.nl) as researcher in the H2020 Back-UP project (http://backup-project.eu/), which aims to create a predictive model to support effective and efficient treatment of neck and lower back pain. She also led the Pioneers in HealthCare (PIHC) PReferral project on the optimization of existing care pathways and referrals of patients with chronic musculoskeletal pain in 1st, 2nd and 3rd care based on artificial intelligence. Currently, she is involved in the RE-SAMPLE project that aims to develop AI-powered care for patients with COPD and other chronic illnesses (https://www.re-sample.eu/)
Wendy works 1 day a week at the University of Twente in the Biomedical Signals and System (BSS) group (https://www.utwente.nl/en/eemcs/bss) in the personalized eHealth teamand 4 days a week as internal auditor at Univé (www.unive.nl), a cooperative nonprofit insurance company in the Netherlands.
Expertise
Medicine and Dentistry
- Patient
- Primary Health Care
- Patient Referral
Nursing and Health Professions
- Low Back Pain
Psychology
- Treatment
- Chronic Disorder
- Behavior
- Diabetes
Organisations
- Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)
- Electrical Engineering (EEMCS-EE)
- Biomedical Signals and Systems (EEMCS-EE-BSS)
- Digital Society Institute
- TechMed Centre
Wendy works in the field of health informatics, with as main topics data science, personalized 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 mainly focused on patients with chronic musculoskeletal pain.
She was involved at RRD (www.rrd.nl) as researcher in the H2020 Back-UP project (http://backup-project.eu/), which aims to create a predictive model to support effective and efficient treatment of neck and lower back pain. Currently, she leads the Pioneers in HealthCare (PIHC) PReferral project on the optimization of existing care pathways and referrals of patients with chronic musculoskeletal pain in 1st, 2nd and 3rd care based on artificial intelligence.
Currently, she work 1 day a week at the University of Twente in the biomedical signals and system group (https://www.utwente.nl/en/eemcs/bss) within the Personalized eHealth Technology Program (https://www.utwente.nl/en/techmed/research/research-programmes/ehealth/) and 4 days a week as senior data scientist at Univé, a cooperative nonprofit insurance company in the Netherlands.
Publications
2024
Technology-supported shared decision-making in chronic conditions: a systematic review of randomized controlled trialsPatient education and counseling, 124, Article 108267. Vaseur,R.M.E., te Braake,E., Beinema,T., Oude Nijeweme-d'Hollosy,W. & Tabak,M.https://doi.org/10.1016/j.pec.2024.108267Game-based design for eHealth in practiceJMIR Formative Research (Accepted/In press). De Vette,F., Ruiz-Rodriguez,A., Tabak,M., Nijeweme-D'Hollosy,W.O., Hermens,H. & Vollenbroek,M.https://doi.org/10.2196/13723
2023
A Digital Coach (E-Supporter 1.0) to Support Physical Activity and a Healthy Diet in People With Type 2 Diabetes: Acceptability and Limited Efficacy TestingJMIR Formative Research, 7, Article e45294. Hietbrink,E.A.G., Oude Nijeweme-d’Hollosy,W., Middelweerd,A., Konijnendijk,A.A.J., Schrijver,L.K., ten Voorde,A.S., Fokkema,E.M.S., Laverman,G.D. & Vollenbroek-Hutten,M.M.R.https://doi.org/10.2196/45294A Digital Lifestyle Coach (E-Supporter 1.0) to Support People With Type 2 Diabetes: Participatory Development StudyJMIR human factors, 10, Article e40017. Hietbrink,E.A.G., Middelweerd,A., Empelen,P.v., Preuhs,K., Konijnendijk,A.A.J., Nijeweme-d’Hollosy,W.O., Schrijver,L.K., Laverman,G.D. & Vollenbroek-Hutten,M.M.R.https://doi.org/10.2196/40017
2022
A Digital Coach (E-Supporter 1.0) to Support Physical Activity and a Healthy Diet in People With Type 2 Diabetes: Acceptability and Limited Efficacy Testing. JMIR Publications. Hietbrink,E.A.G., Nijeweme-d’Hollosy,W.O., Middelweerd,A., Konijnendijk,A.A.J., Schrijver,L.K., ten Voorde,A.S., Fokkema,E.M.S., Laverman,G.D. & Vollenbroek-Hutten,M.M.R.https://doi.org/10.2196/preprints.45294Factors used by general practitioners for referring patients with chronic musculoskeletal pain: A qualitative studyBMC family practice, 23, Article 126. Slatman,E.S., Mossink,A., Jansen,D.J., Broeks,J., van der Lugt,P., Prosman,G.-J. & d'Hollosy,W.https://doi.org/10.1186/s12875-022-01743-6Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomesBMC medical informatics and decision making, 22, Article 227. Verma,D., Jansen,D., Bach,K., Poel,M., Mork,P.J. & d'Hollosy,W.https://doi.org/10.1186/s12911-022-01973-9Technology-supported shared decision-making in chronic conditions: preliminary results of a systematic reviewEuropean respiratory journal, 60. Vaseur,R., te Braake,E., Beinema,T., d'Hollosy,W. & Tabak,M.https://doi.org/10.1183/13993003.congress-2022.2987Technology-supported shared decision making in the treatment and management of chronic conditions: a systematic review protocol. Vaseur,R., d'Hollosy,W. & Tabak,M.https://www.bme2022.nl/bme-2022-programme/
2021
Night to night variability of pulse oximetry features in children at home and at the hospitalPhysiological measurement, 42(10), Article 104003. Hoppenbrouwer,X., Rollinson,A.U., Dunsmuir,D., Ansermino,J.M., Dumont,G., d'Hollosy,W., Veltink,P.H. & Garde Martinez,A.https://doi.org/10.1088/1361-6579/ac278eThe usage of patient-reported data in machine learning to predict pain rehabilitation: possible or not?. d'Hollosy,W., Bekmann,A., Jansen,D.J. & Prosman,G.-J.Towards optimized personalized referral advice and patient satisfaction in chronic musculoskeletal pain. d'Hollosy,W., Konijnendijk,A., Bessembinder,R., Leeferink,F. & Broeks,J.Appropriate healthcare referrals of patients with chronic musculoskeletal pain? We can do better: a multimodal artificial intelligence approach. d'Hollosy,W., Jansen,D.J. & Poel,M.
2020
Applying machine learning on patient-reported data to model the selection of appropriate treatments for low back pain: A Pilot StudyIn Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) (pp. 117-124). SCITEPRESS. Oude Nijeweme - d'Hollosy,W., van Velsen,L., Poel,M., Groothuis-Oudshoorn,C., Soer,R., Stegeman,P. & Hermens,H.https://doi.org/10.5220/0008962101170124
Research profiles
- Google Scholar
- research.utwente.nl profile
Affiliated study programs
- Bachelor Creative Technology
Courses academic year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses academic year 2022/2023
- +31534892766 (work)
- +31534892760 (if no answer)
- w.dhollosy@utwente.nl
- research.utwente.nl
- Google Scholar
- Business card (vCard)
Organisations
- Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)
- Electrical Engineering (EEMCS-EE)
- Biomedical Signals and Systems (EEMCS-EE-BSS)
- Digital Society Institute
- TechMed Centre
