Wendy Oude Nijeweme - d'Hollosy

PhD

1991 …2020

Research activity per year

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Personal profile

Personal profile

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.

Education/Academic qualification

PhD, University of Twente

1 Jan 201420 Dec 2017

Award Date: 20 Dec 2017

Master, University of Twente

30 Sep 19861 Jul 1991

Award Date: 1 Jul 1991

External positions

Senior Data Scientist at Univé

17 Aug 2020 → …

Researcher Roessingh Research and Development

1 Oct 20181 Oct 2020

Researcher Roessingh Research and Development

1 Jan 200331 Dec 2005

Webdeveloper, Ilca Media

31 Aug 19991 Dec 2020

Lecturer Computer Science University of Applied Sciences Arnhem en Nijmegen (HAN)

1 Aug 199731 Jul 2000

Software Engineer, Radboud University Medical Center

1 Jul 199130 Jul 1997

Keywords

  • QA75 Electronic computers. Computer science
  • machine learning
  • eHealth
  • artificial intelligence
  • data science
  • health data interoperability

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